JPWO2016035149A1 - Yield amount recording method, yield amount recording program, and yield amount recording apparatus - Google Patents

Abstract

The harvest amount recording device (101) indicates the amount of the specific crop for each classification as a result of the classification into a plurality of fields regardless of which field the specific crop produced in each of the plurality of fields. The information shown is accepted. The harvest amount recording device (101) refers to the acreage area at the time of cultivation of the specific crop stored in the storage unit (110) for each of the plurality of fields, and refers to the amount of the specific crop for each classification. It distributes according to each acreage area of a plurality of farm fields. The harvest amount recording device (101) stores the amount corresponding to each field after the distribution for each classification in association with the identifier of each field.

Description

  The present invention relates to a harvest amount recording method, a harvest amount recording program, and a harvest amount recording apparatus.

  In agriculture, crops produced in a field are often sorted and shipped based on size, weight, color, gloss, shape, presence or absence of scratches, and the like. For example, in the selection of cabbage, it is classified into classes such as S, M, L, and 2L based on size and weight. In addition, crops of the same item may be produced in multiple fields.

  As a prior art, for example, there is a technique for acquiring field yield data based on a total harvest area of a grain harvested by a harvesting unit and a total harvest amount of grains stored in a grain tank. Moreover, the evaluation information and the cultivation place of agricultural products are stored in the information management device in correspondence with the production information of the production department, the distribution information of the distribution department, and the consumption information of the consumption department, and information management is performed from the production department, distribution department, and consumption department. There is a technique that allows browsing, searching, and acquiring stored information by simply accessing the device.

JP 2003-289717 A JP 2004-133498 A

  However, according to the prior art, it may be difficult to obtain a sorting result such as how much crop is produced for each class in each field, for example, about a certain crop produced in a plurality of fields.

  In one aspect, the present invention provides a crop recording method, a crop recording program, and a crop recording apparatus for recording a rough crop for each field classification for crops produced in a plurality of fields. With the goal.

  According to one aspect of the present invention, the amount of the specific crop for each classification as a result of the specific crop produced in each of the plurality of fields being classified into a plurality of fields regardless of in which field The reference is made to the amount of the specific crop for each classification, with reference to the acreage during cultivation of the specific crop stored in the storage unit for each of the plurality of fields. Harvest amount recording method for harvesting according to each cropping area of a plurality of fields, and storing the amount corresponding to each field after the distribution for each classification in association with the identifier of each field A program and yield recorder are proposed.

  According to one aspect of the present invention, it is possible to record an approximate harvest amount for each field classification for crops produced in a plurality of fields.

FIG. 1 is an explanatory diagram of an example of a yield recording method according to an embodiment. FIG. 2 is an explanatory diagram illustrating a system configuration example of the agricultural support system 200. FIG. 3 is a block diagram illustrating a hardware configuration example of the harvest amount recording apparatus 101. FIG. 4 is a block diagram illustrating a hardware configuration example of the client device 201. FIG. 5 is an explanatory diagram showing an example of the contents stored in the production plan DB 220. FIG. 6 is an explanatory diagram showing an example of the contents stored in the unit master 230. FIG. 7 is an explanatory diagram showing an example of the contents stored in the crop unit price master 240. FIG. 8 is an explanatory diagram showing an example of the contents stored in the harvest amount DB 250. FIG. 9 is an explanatory diagram illustrating a screen example of a field selection screen. FIG. 10 is a block diagram illustrating a functional configuration example of the harvest amount recording apparatus 101. FIG. 11 is an explanatory diagram (part 1) illustrating a transition example of the storage contents of the harvest amount DB 250. FIG. 12 is an explanatory diagram (part 2) of a transition example of the storage contents of the harvest amount DB 250. FIG. 13 is an explanatory diagram (part 3) illustrating a transition example of the contents stored in the harvest amount DB 250. FIG. 14 is an explanatory diagram (part 4) illustrating a transition example of the stored contents of the harvest amount DB 250. FIG. 15 is an explanatory diagram (part 1) of a screen example of a field-specific sorting result screen. FIG. 16 is an explanatory diagram illustrating a screen example of the ratio screen. FIG. 17 is an explanatory diagram (part 2) of a screen example of the sorting result screen by field. FIG. 18 is a flowchart illustrating an example of the harvest amount recording processing procedure of the harvest amount recording apparatus 101. FIG. 19 is a flowchart showing an example of the sorting result display processing procedure by field of the harvest amount recording apparatus 101.

  DESCRIPTION OF EMBODIMENTS Embodiments of a harvest amount recording method, a harvest amount recording program, and a harvest amount recording apparatus according to the present invention will be described in detail below with reference to the drawings.

(An example of the harvest amount recording method)
FIG. 1 is an explanatory diagram of an example of a yield recording method according to an embodiment. In FIG. 1, a harvest amount recording device 101 is a computer that records a harvest amount of a crop produced in a farm field. Here, the fields are fields for cultivating and growing crops, vegetable gardens, and the like. A crop is a product produced by agricultural activities, and includes, for example, cereals, vegetables, fruits, and flower buds as a broad classification.

  The yield is the amount of the harvested crop, ie the harvest. As a unit representing the harvest amount, for example, a weight unit or a storage unit is used. The weight unit is a unit for measuring the weight of the harvest. Examples of the weight unit include kg (kilogram), t (ton), and lb (pound). The storage unit is a unit for counting containers for storing the harvest. Examples of the storage unit include a case, a box, a container, and a pack.

  The harvested crops are often sorted and shipped. Sorting is a classification based on the size, weight, color, gloss, shape, and presence / absence of scratches. Fruit sorting is sometimes called "fruit selection". For example, classification based on the size and weight of crops is called “class”. Examples of classes include S, M, L, and 2L. A classification based on the color, gloss, shape, and presence / absence of a crop is called a “grade”. Examples of grades include good, excellent, and excellence. The class and class are sometimes referred to as “equal class”.

  Here, in farming management, it is important to grasp the balance information for each field and use it for reviewing work and planting plans. However, the unit price of crops often varies from class to class. For this reason, in order to grasp the balance information for each field, it is required to record the harvest amount for each classification of the crops harvested in the field.

  However, a specific crop may be produced in a plurality of fields, and it may be difficult to obtain a yield for each classification of each field for a specific crop produced in a plurality of fields.

  For example, in the case of large vegetables such as cabbage and lettuce, when harvesting in a field, harvesting may be performed while sorting on the spot. In such a case, when an operator goes around a plurality of fields and harvests a certain category of crops, it is difficult to obtain a harvest amount for each field even though the yields of a plurality of fields can be obtained for a certain category. Become. For example, when only a crop having a size corresponding to the class “L” is harvested through a plurality of fields, the total yield of the plurality of fields can be obtained for the “L” crop, but the “L” crop of each field is obtained. It is difficult to get the yield. In addition, crops harvested in a plurality of fields may be put together into a sorter (or fruit sorter) to sort the crops. Even in such a case, it is difficult to obtain a harvest amount for each classification of each field. For example, when mandarin oranges harvested in a plurality of fields are put together into a fruit selection machine and sorted into a class such as S, M, L, etc., the total yield of citrus of the class “S” through a plurality of fields, The total yield of mandarin oranges of class “M” and the total yield of mandarin oranges of class “L” are obtained. However, it is difficult to obtain the yield of mandarin oranges of each class for each field.

  Therefore, in the present embodiment, a description will be given of a harvest amount recording method capable of recording a rough harvest amount for each classification of each field for crops produced in a plurality of fields. Hereinafter, a processing example of the harvest amount recording apparatus 101 according to the embodiment will be described.

  Here, a case is assumed in which the worker goes around the field A, the field B, and the field C and harvests cabbage while simultaneously harvesting and selecting in each field. In addition, 200 kg of class “2L” cabbage is harvested from three fields of field A, field B, and field C, 400 kg of cabbage of class “L” is harvested, and cabbage of class “M” is harvested. Assume that 120 [kg] is harvested.

  (1) The harvest amount recording device 101 has a specific crop amount for each classification as a result of classification into a plurality of specific crops produced in each of the plurality of farm fields. Is received. Here, as described above, the classification is, for example, a “class” based on the size and weight of the crop, and a “grade” based on the color, gloss, shape, and presence / absence of scratches of the crop. In addition to classes and grades, an index for classifying crops into a plurality may be used. Moreover, the amount of a specific crop is the yield of a specific crop.

  In the example of FIG. 1, the harvest amount recording apparatus 101 includes the amount “200 [kg]” of cabbage of class “2L”, the amount of cabbage “400 [kg]” of class “L”, and the class “M”. Information indicating the amount of cabbage “120 [kg]” is received. The amount of cabbage in each class is a result of the cabbage produced in each of the three fields, Field A, Field B, and Field C, being classified into a plurality of fields regardless of which field.

  (2) The harvest amount recording apparatus 101 refers to the specific crop amount for each classification with reference to the acreage area at the time of cultivation of the specific crop stored in the storage unit 110 for each of the plurality of fields. Apportion according to each planting area of multiple fields. Here, the planting area is an area for planting crops.

  In the example of FIG. 1, the acreage during cabbage cultivation for the field A is 20 [a], the acreage during cabbage cultivation for the field B is 10 [a], and the cabbage for the field C The acreage during cultivation is 10 [a].

  As an example, a case where the amount of cabbage “400 [kg]” of class “L” is apportioned will be described. In this case, for example, the harvest amount recording apparatus 101 supplies the amount of cabbage “400 [kg]” of the class “L” to each of the fields A, B, and C in proportion to the acreage of the fields A, B, and C. Distribute.

  As a result, the amount of cabbage of class “L” apportioned to the field A is 200 [kg] (= 400 [kg] × 20 [a] / (20 [a] +10 [a] +10 [a])) It becomes. Further, the amount of cabbage of the class “L” apportioned to the field B is 100 [kg] (= 400 [kg] × 10 [a] / (20 [a] +10 [a] +10 [a])) Become. The amount of cabbage of class “L” apportioned to the field C is 100 [kg] (= 400 [kg] × 10 [a] / (20 [a] +10 [a] +10 [a])) Become.

  (3) The harvest amount recording apparatus 101 stores the amount corresponding to each field after the distribution for each classification in association with the identifier of each field. Specifically, for example, the harvest amount recording apparatus 101 stores the cabbage amount “200 [kg]” of the class “L” allocated to the field A in association with the field name “A” of the field A. 110.

  The harvest amount recording apparatus 101 stores the cabbage amount “100 [kg]” of the class “L” apportioned to the field B in the storage unit 110 in association with the field name “B” of the field B. The harvest amount recording device 101 stores the cabbage amount “100 [kg]” of the class “L” apportioned to the field C in the storage unit 110 in association with the field name “C” of the field C.

  Thus, according to the harvest amount recording apparatus 101, the amount of a specific crop for each classification produced in a plurality of fields is prorated according to the acreage of each of the plurality of fields, thereby classifying each field. A rough yield can be obtained for each. Thereby, about the specific crop produced in the some field, the rough harvest amount for every classification | category of each field can be recorded.

  In the example of FIG. 1, for the cabbage produced in the fields A to C, it is possible to record a rough harvest amount for each class of the fields A to C. As a result, it becomes possible to roughly grasp the balance information of each of the farm fields A to C, which can be used for reviewing the work in each of the farm fields A to C and reviewing the planting plan.

(System configuration example of the agricultural support system 200)
Next, the case where the harvest amount recording apparatus 101 shown in FIG. 1 is applied to the agricultural support system 200 will be described.

  FIG. 2 is an explanatory diagram illustrating a system configuration example of the agricultural support system 200. In FIG. 2, the agricultural support system 200 is configured to include a harvest amount recording device 101 and a plurality of client devices 201 (two in FIG. 2). In the agricultural support system 200, the harvest amount recording apparatus 101 and the client apparatus 201 are connected via a wired or wireless network 210. The network 210 is, for example, a local area network (LAN), a wide area network (WAN), or the Internet.

  Here, the harvest amount recording apparatus 101 has a production plan DB (database) 220, a unit master 230, a crop unit price master 240, and a harvest amount DB 250, and records the harvest amount of the crop produced in the field. The harvest amount recording apparatus 101 is, for example, a server. The stored contents of various DBs 220, 230, 240, 250 will be described later with reference to FIGS.

  The client device 201 is a computer that has a display (for example, a display 406 shown in FIG. 4 described later) and can display various screens according to the display control of the harvest amount recording device 101. The client device 201 is, for example, a PC, a notebook PC, a tablet PC, a smartphone, or the like used by farm managers and workers.

  Specifically, for example, when the harvest amount recording apparatus 101 receives a display request for various screens from the client apparatus 201, the harvest amount recording apparatus 101 transmits screen information for the various screens to the client apparatus 201. As a result, various screens are displayed on the display of the client device 201.

(Example of hardware configuration of the harvest amount recording apparatus 101)
FIG. 3 is a block diagram illustrating a hardware configuration example of the harvest amount recording apparatus 101. In FIG. 3, the harvest amount recording apparatus 101 includes a CPU (Central Processing Unit) 301, a memory 302, an I / F (Interface) 303, a disk drive 304, and a disk 305. Each component is connected by a bus 300.

  Here, the CPU 301 controls the entire harvest amount recording apparatus 101. The memory 302 includes, for example, a ROM (Read Only Memory), a RAM (Random Access Memory), and a flash ROM. Specifically, for example, a flash ROM or ROM stores various programs, and a RAM is used as a work area for the CPU 301. The program stored in the memory 302 is loaded into the CPU 301 to cause the CPU 301 to execute the coded process.

  The I / F 303 is connected to the network 210 through a communication line, and is connected to another computer (for example, the client device 201 illustrated in FIG. 2) via the network 210. The I / F 303 controls an internal interface with the network 210 and controls input / output of data from other computers. For example, a modem or a LAN adapter may be employed as the I / F 303.

  The disk drive 304 controls reading / writing of data with respect to the disk 305 according to the control of the CPU 301. The disk 305 stores data written under the control of the disk drive 304. Examples of the disk 305 include a magnetic disk and an optical disk.

  Note that the harvest amount recording apparatus 101 may include, for example, an SSD (Solid State Drive), a keyboard, a mouse, and a display in addition to the above-described components.

(Example of hardware configuration of client apparatus 201)
FIG. 4 is a block diagram illustrating a hardware configuration example of the client device 201. In FIG. 4, the client device 201 includes a CPU 401, a memory 402, a disk drive 403, a disk 404, an I / F 405, a display 406, and an input device 407. Each component is connected by a bus 400.

  Here, the CPU 401 governs overall control of the client device 201. The memory 402 includes, for example, a ROM, a RAM, a flash ROM, and the like. Specifically, for example, a flash ROM or ROM stores various programs, and the RAM is used as a work area of the CPU 401. The program stored in the memory 402 is loaded on the CPU 401 to cause the CPU 401 to execute the coded process.

  The disk drive 403 controls reading / writing of data with respect to the disk 404 according to the control of the CPU 401. The disk 404 stores data written under the control of the disk drive 403. Examples of the disk 404 include a magnetic disk and an optical disk.

  The I / F 405 is connected to the network 210 via a communication line, and is connected to another computer (for example, the harvest amount recording apparatus 101 shown in FIG. 2) via the network 210. The I / F 405 controls an internal interface with the network 210 and controls data input / output from other computers.

  The display 406 displays data such as a document, an image, and function information as well as a cursor, an icon, or a tool box. The display 406 can employ, for example, a CRT (Cathode Ray Tube), a liquid crystal display, an organic EL (Electroluminescence) display, or the like.

  The input device 407 has keys for inputting characters, numbers, various instructions, and the like, and inputs data. The input device 407 may be a keyboard or a mouse, or may be a touch panel type input pad or a numeric keypad.

  Note that the client device 201 may not include, for example, the disk drive 403 and the disk 404 among the above-described components. The client device 201 may include, for example, an SSD, a scanner, and a printer in addition to the above-described components.

(Storage contents of various DBs 220, 230, 240, 250)
Next, the storage contents of various DBs 220, 230, 240, 250 will be described with reference to FIGS. The various DBs 220, 230, 240, and 250 are realized by storage devices such as the memory 302 and the disk 305 of the harvest amount recording apparatus 101 shown in FIG.

<Storage contents of production plan DB 220>
FIG. 5 is an explanatory diagram showing an example of the contents stored in the production plan DB 220. In FIG. 5, the production plan DB 220 has fields of field name, item, product type, cropping type, and cropping area. By setting information in each field, production plan information (for example, production plan information 500-1 to 500-3) is stored as a record.

  Here, the production plan is a plan for how much and how much the crop to be produced is planted. Cultivation of crops in each field is performed according to the production plan. The field name is the name of the field. As the field name, for example, a pen name that is a name of a section obtained by dividing one field may be used. The item is a crop type. Examples of the item include tomato, cucumber, paddy rice, cabbage and the like.

  A kind is a kind in the same item. For example, as a variety of cabbage, “Saifu” or “Green Ball” for summer-growing varieties, “Middle-early birth 2”, “Middle-early birth 3”, “early autumn”, “new style”, etc. There is. Cropping is a system that shows a combination of conditions and techniques when cultivating crops. Examples of cropping patterns include house cultivation, open field cultivation, and summer sowing cultivation. The planted area is the area where the crop is planted.

  For example, the production plan information 500-1 includes a crop item “cabbage”, a variety “Ox”, a cropping type “ΔΔ cultivation”, and a cropping area “20 [a]” to be planted on the field “Kamata-1”. Show.

  In addition to the above-described information, the production plan DB 220 stores, for example, information such as harvest plans, harvest results, planned backlashes, and actual backlashes for each field. The harvest plan shows the target crop yield. The harvest record indicates the amount of crops harvested in the field. The planned rebound represents the rebound of the target crop. The actual return is the return of the crop harvested in the field. The term “revenue” refers to the crop yield per field. The counter-revenue may be expressed per 10a (R) instead of per hit.

<Storage contents of unit master 230>
FIG. 6 is an explanatory diagram showing an example of the contents stored in the unit master 230. In FIG. 6, the unit master 230 has fields for items, storage units, and kg converted values. By setting information in each field, unit information (for example, unit information 600-1 to 600-3) is stored as a record.

  Here, the item is the type of crop. The storage unit is a unit for counting containers for storing harvested products used in harvesting operations and sorting operations. The kg conversion value indicates a conversion ratio applied when converting a value indicating the crop yield in storage units into kg as a weight unit. For example, the unit information 600-1 indicates a conversion ratio “10.0” applied when converting a value indicating the amount of cabbage harvested in case units into kg.

  In the example of FIG. 6, the storage unit and the kg converted value are stored in association with the crop item, but the present invention is not limited to this. For example, the storage unit and the kg converted value may be stored in association with the combination of the crop item, the variety, and the cropping type.

<Storage contents of crop unit price master 240>
FIG. 7 is an explanatory diagram showing an example of the contents stored in the crop unit price master 240. In FIG. 7, the crop unit price master 240 has fields of item, standard, size, and unit price. By setting information in each field, unit price information (for example, unit price information 700-1 to 700-4) is stored as a record.

  Here, the item is the type of crop. The standard indicates the classification based on the color, gloss, shape, and presence / absence of a crop, and corresponds to the “grade” described above. The size indicates a classification based on the size and weight of the crop, and corresponds to the “class” described above. The unit price is the price of the crop per kg. For example, the unit price information 700-1 indicates the unit price “75 yen / kg” of the standard “excellent” / size “L” cabbage.

  In the example of FIG. 7, the standard, size, and unit price are stored in association with the crop item, but are not limited thereto. For example, standards, sizes, and unit prices may be stored in association with combinations of crop items, varieties, and cropping types.

<Storage contents of harvest amount DB250>
FIG. 8 is an explanatory diagram showing an example of the contents stored in the harvest amount DB 250. In FIG. 8, the yield DB 250 includes lot ID, lot name, item, total [kg], field name, standard, size, volume [kg], ratio [%], total volume [kg], price [yen] and It has a field of total price [yen]. By setting information in each field, harvest information (for example, harvest information 800-1) is stored as a record.

  Here, the lot ID is an identifier for uniquely identifying the selected lot. The sorting lot indicates a sorting result of a specific crop produced in the field group. A field group includes one or more fields. The lot name is the name of the selected lot. The item is a type of a specific crop produced in each field of the field group. The total [kg] indicates the total amount of crops produced in each field of the field group in weight units.

  The field name is the name of the field included in the field group. The standard corresponds to the “grade” described above. The size corresponds to the “class” described above. The output [kg] indicates the amount of harvest by weight for each classification of a specific crop produced in the field. The classification here is a combination (equal class) of a standard (class) and a size (class).

  The ratio [%] is the total yield of each specific crop produced on the field, that is, the ratio of the yield of each crop classified to the yield of the specific crop produced on the field. Show. Total volume [kg] indicates the yield of a specific crop produced in the field by weight. The price [yen] is a price corresponding to the yield for each classification of a specific crop produced in the field.

  The total price [yen] is a total value of the prices corresponding to the yield for each classification of the specific crops produced in the field, that is, the price corresponding to the yield of the specific crops produced in the field. In addition, although illustration is abbreviate | omitted, the information which shows the selection date by which the specific crop produced in the agricultural field group was selected may be contained in harvest amount information, for example.

(Screen example of field selection screen)
Next, a screen example of a field selection screen displayed on the display 406 of the client device 201 will be described. In the following description, a case where a click operation is performed as an operation for the user to select an item or the like displayed on the operation screen will be described as an example.

  FIG. 9 is an explanatory diagram illustrating a screen example of a field selection screen. In FIG. 9, the field selection screen 900 shows a result of the classification of a specific crop for each classification as a result of being classified into a plurality of fields regardless of which field the specific crop produced in each field of the field group is produced. It is an operation screen for inputting a harvest amount.

  When the icon 901 is clicked by a user operation input using the input device 407 shown in FIG. 4 on the field selection screen 900, a selection date for selecting a specific crop produced in the field group can be input. it can. In the example of FIG. 9, the selection date “July 1, 2014” is input.

  In addition, when an icon 902 is clicked on the field selection screen 900, a field included in the field group can be selected. In the example of FIG. 9, the field “Iwata-1” and the field “Iwata-2” are selected. The options that can be selected by clicking the icon 902 include, in addition to the field name of the field, for example, the item of the crop produced in the field, the variety, and the acreage during cultivation.

  In addition, when the box 903 is clicked on the field selection screen 900, the lot ID of the selected lot can be input. In the example of FIG. 9, the lot ID “L1” is input. However, the lot ID may be automatically numbered. In addition, when a box 904 is clicked on the field selection screen 900, the lot name of the selected lot can be input. In the example of FIG. 9, the lot name “July 1 AM selection product (raw cabbage)” is input.

  In addition, when the icons 905 to 908 are clicked on the field selection screen 900, the standard of the crop produced in the field group can be selected. In the example of FIG. 9, for example, the icon 905 is clicked, and the standard “excellent” of the crop produced in the field group is selected.

  In addition, when the icons 909 to 912 are clicked on the field selection screen 900, the size of the crop produced in the field group can be selected. In the example of FIG. 9, for example, the icon 909 is clicked, and the size “L” of the crop produced in the field group is selected.

  In addition, when the boxes 913 to 916 are clicked on the field selection screen 900, a value indicating the harvest amount for each classification of the crops produced in the field group can be input. In the example of FIG. 9, for example, a box 913 is clicked, and a value “120” indicating the harvest amount of the standard “excellent” and size “L” of the crop produced in the field group in units of cases is input.

  In addition, when the icons 917 to 920 are clicked on the field selection screen 900, the storage units of the crops produced in the field group can be selected. In the example of FIG. 9, for example, the icon 917 is clicked, and the storage unit “case” of the crop produced in the field group is selected.

  In addition, when the boxes 921 to 924 are clicked on the field selection screen 900, it is possible to input a value indicating the harvest amount for each classification of the crops produced in the field group in units of weight. However, when a value (volume) is input to the boxes 913 to 916, a value (volume (kg)) obtained by converting the input value into kg may be automatically input to the boxes 921 to 924. In the example of FIG. 9, for example, a value “1,200” obtained by converting the value “120” input in the box 913 into kg is input in the box 921.

  Further, when a value (volume (kg)) is input in the boxes 921 to 924, a total value (total) of the input values is displayed in the box 925. In the example of FIG. 9, the total value “4,500 kg” of the values input in the boxes 921 to 924 is input to the box 925.

  In addition, when a detail addition button 926 is clicked on the field selection screen 900, a line for inputting a standard, a size, a volume, a unit, and a volume (kg) can be added.

  In addition, when the registration button 927 is clicked on the field selection screen 900, sorting information including the result input on the field selection screen 900 is transmitted to the harvest amount recording apparatus 101. As a result, with respect to a specific crop produced in each field of the field group, it is possible to record the harvest amount for each field classification.

(Functional configuration example of the harvest amount recording apparatus 101)
FIG. 10 is a block diagram illustrating a functional configuration example of the harvest amount recording apparatus 101. In FIG. 10, the harvest amount recording apparatus 101 is configured to include a reception unit 1001, a calculation unit 1002, an output unit 1003, and a creation unit 1004. The accepting unit 1001 to the creating unit 1004 are functions as control units. Specifically, for example, by causing the CPU 301 to execute a program stored in a storage device such as the memory 302 and the disk 305 illustrated in FIG. Alternatively, the function is realized by the I / F 303. The processing result of each functional unit is stored in a storage device such as the memory 302 and the disk 305, for example.

  The accepting unit 1001 accepts selection information indicating the amount of harvest for each classification of a specific crop produced in the field group. Here, the harvest amount for each classification of a specific crop is a result of classification into a plurality of fields regardless of which field the specific crop produced in each field of the field group is produced.

  The selection information is input by, for example, an operation input by the user of the client apparatus 201 on the field selection screen 900 (see FIG. 9). The client device 201 transmits the input sorting information to the harvest amount recording device 101. In this case, the reception unit 1001 receives selection information from the client device 201.

  The sorting information includes, for example, the sorting date, the field name of the field included in the field group, the lot ID of the selected lot, the lot name, the item of the specific crop, the variety, and the classification of the specific crop produced in the field group. Information indicating the amount of harvest is included. The yield may be expressed in any unit of weight unit or storage unit.

  In addition, the reception unit 1001 is, for example, a specific unit produced in the farm group from another system connected to a sorter (or a fruit sorter) in which a particular crop produced in the farm group is sorted. You may decide to receive the selection information which shows the harvest amount for every classification | category of a crop.

  The calculation unit 1002 calculates a harvest amount for each classification of each field included in the field group based on the received selection information. Specifically, for example, first, the calculation unit 1002 refers to the production plan DB 220 (see FIG. 5) to determine the planting area at the time of cultivation of a specific crop corresponding to the field name of each field included in the field group. Identify. And the calculation part 1002 calculates the harvest amount for every classification | category of each field by distributing the harvest amount for every classification | category of the specific crop produced by the field group according to the planting area of each identified field. .

  In addition, the yield for each classification of a specific crop produced in the field group may be expressed in storage units. In this case, the calculation unit 1002 may refer to the unit master 230 (see FIG. 6) to convert the harvest amount for each specific crop classification into kg as a weight unit. An example of calculating the harvest amount for each field classification will be described later with reference to FIG.

  The output unit 1003 outputs the calculated yield for each classification of each field. As an output format of the output unit 1003, for example, storage in a storage device such as the memory 302 and the disk 305, transmission to an external computer (for example, the client device 201) by the I / F 303, and print output to a printer (not shown) and so on.

  Specifically, for example, the output unit 1003 associates the harvest amount corresponding to each field after distribution for each classification as the output [kg] (or the output of the storage unit) and the identifier of each field. It memorize | stores in harvest amount DB250 (refer FIG. 8). The field identifier is, for example, the field name of the field.

  Further, the calculation unit 1002 may calculate the total amount of the harvest amount of a specific crop for each classification apportioned for each field. This total amount corresponds to the yield of a specific crop produced in the field. An example of calculating the total harvest amount of a specific crop will be described later with reference to FIG.

  In this case, the output unit 1003 may output the total amount of the calculated crop yield. Specifically, for example, the output unit 1003 stores the calculated total amount in the harvest amount DB 250 in association with the field identifier as the total volume [kg] (or the total volume of the storage unit). Also good.

  However, the total yield [kg] of the field may already be stored in the harvest amount DB 250 by manual input by the operator. In this case, the harvest amount recording apparatus 101 may accept selection of which one of the already stored value and the calculated total amount is stored as the total volume [kg].

  The calculation unit 1002 also determines the price of the specific crop for each category based on the price per unit amount of the specific crop for each category and the yield of the specific crop for each apportioned category for each field. May be calculated. This price corresponds to the amount of money obtained by selling a specific crop for each category produced in the field.

  In this case, the output unit 1003 may output the price of a specific crop for each calculated classification. Specifically, for example, the output unit 1003 may store the calculated price of the specific crop for each classification in the harvest amount DB 250 in association with the field identifier.

  Further, the calculation unit 1002 may calculate a total value for each field by adding the prices of specific crops for each calculated classification. This total value corresponds to the amount of money obtained by selling a specific crop produced in the field. An example of calculating the total value for each field will be described later with reference to FIG.

  In this case, the output unit 1003 may output the calculated sum for each field. Specifically, for example, the output unit 1003 may store the calculated total value for each field as a total price [yen] in the harvest amount DB 250 in association with the field identifier.

  In addition, the calculation unit 1002 calculates the ratio of the harvest amount of the specific crop for each classification apportioned for each field to the total amount of the harvest of the specific crop for each apportionment for each field. Also good. This ratio serves as an index for judging at what ratio a specific crop for each classification is harvested in each field. An example of calculating the ratio of the yield of a specific crop for each classification will be described later with reference to FIG.

  In this case, the output unit 1003 may output the ratio of the yield of a specific crop for each calculated classification. Specifically, for example, the output unit 1003 may store the calculated crop yield ratio for each classification as a ratio [%] in the harvest DB 250 in association with the field identifier. Good.

  In addition, the receiving unit 1001 may receive designation of an identifier of a farm field. The field identifier specified here is, for example, the field identifier that is the output target of the harvest amount for each specific crop classification. The designation of the field identifier is performed, for example, by an operation input by the user of the client apparatus 201 on the field-specific sorting result screen 1500 shown in FIG. The client apparatus 201 transmits the input result that has been input to the harvest amount recording apparatus 101. In this case, the receiving unit 1001 may receive the designation of the field identifier by receiving the input result from the client device 201.

  The creation unit 1004 creates field-specific sorting result information indicating the harvest amount for each classification of a specific crop produced in the designated field. Specifically, for example, first, the creation unit 1004 reads the harvest amount information corresponding to the specified field identifier from the harvest amount DB 250. Then, the creation unit 1004 may create screen information of the field-specific sorting result screen 1500 as shown on the lower side of FIG. 15 described later based on the read harvest amount information.

  Further, the output unit 1003 outputs the created field-specific sorting result information. Specifically, for example, the output unit 1003 displays the sorting result screen 1500 by field on the display 406 of the client device 201 by transmitting the screen information of the created sorting result screen 1500 by field to the client device 201. Control may be performed.

  In addition, the creation unit 1004 may create a graph indicating the ratio of the yield of a specific crop for each classification produced in the field. The graph is, for example, a pie graph or a bar graph. Specifically, for example, the creation unit 1004 creates a pie chart (for example, a pie chart 1601 shown in FIG. 16 to be described later) indicating the ratio of the yield of a specific crop for each classification produced in the field. May be.

  In this case, the output unit 1003 may output the created graph. Specifically, for example, the output unit 1003 may perform control to display a ratio screen 1600 including a pie chart 1601 on the display 406 of the client apparatus 201 as illustrated in FIG.

(Transition example of stored contents of harvest DB250)
Next, with reference to FIGS. 11 to 14, a transition example of the storage contents of the harvest amount DB 250 will be described by taking as an example a case where the selection information input on the field selection screen 900 shown in FIG. 9 is received.

  FIGS. 11-14 is explanatory drawing which shows the example of a change of the memory content of harvest amount DB250. First, based on the received sorting information, the receiving unit 1001 stores the lot ID, lot name, specific crop item, total [kg] of the selected lot, and the field names of the fields included in the field group in each field. Set (see FIG. 11).

  As a result, the harvest amount information 800-1 is stored in the harvest amount DB 250 as a new record. However, at this time, the fields of the standard, size, volume [kg], ratio [%], total volume [kg], price [yen], and total price [yen] of the yield information 800-1 are not set. .

<Volume [kg]>
Next, the calculation unit 1002 calculates a harvest amount for each classification of each field included in the field group based on the selection information. As an example, a case will be described in which the harvest of cabbage with the standard “excellent” and size “L” produced in the field group is prorated. However, it is assumed that the harvest amount is expressed in storage units (cases in the example of FIG. 9).

  In this case, the calculation unit 1002 refers to the unit master 230 and specifies the kg converted value “10.0” corresponding to the item “cabbage” and the storage unit “case”. Then, the calculation unit 1002 multiplies the yield “120 [case]” of the cabbage having the standard “excellent” / size “L” by the specified kg converted value “10.0” to obtain the yield in kg. “1,200 [kg]” is obtained.

  Next, the calculation unit 1002 refers to the production plan DB 220, and the planting area “at the time of cultivation of the crop of the item“ cabbage ”and the variety“ Ox ”for the field name“ Iwata-1 ”of the field included in the field group“ 20 [a] "is specified. In addition, the calculation unit 1002 refers to the production plan DB 220, and the planting area “30” at the time of cultivation of the crop of the item “cabbage” and the variety “Ox” for the field name “Iwata-2” of the field included in the field group. [A] "is specified.

  Then, the calculation unit 1002 apportions the harvested amount “1,200 [kg]” of the standard “excellent” and size “L” cabbage harvested in the field group according to the identified acreage of each field. Thus, the yield of the standard “excellent” / size “L” of each field is calculated. Here, the harvest amount of the standard “Hide” and the size “L” of the field “Iwata-1” is “480 [kg]”. In addition, the harvest amount of the standard “Hide” and the size “L” of the field “Iwata-2” is “720 [kg]”.

  In this case, the output unit 1003 sets the yield “480 [kg]” of the calculated standard “excellent” and size “L” as the output [kg], and associates it with the field name “Iwata-1”. Set to 800-1. Further, the output unit 1003 sets the harvest amount “720 [kg]” of the calculated standard “excellent” and size “L” as the output [kg], and associates it with the field name “Iwata-2” to obtain the harvest amount information 800. Set to −1 (see FIG. 12).

<Total volume [kg]>
Next, the calculation unit 1002 calculates the total amount of the harvested cabbage for each classification that is prorated for each field. For example, the calculation unit 1002 calculates the total amount “1,800 [kg]” of the cabbage volume [kg] for each classification of the field “Iwata-1”. In this case, the output unit 1003 sets the calculated total amount “1,800 [kg]” as the total volume [kg] in the harvest amount information 800-1 in association with the field name “Iwata-1” ( (See FIG. 12).

<Price [Yen]>
Next, the calculation unit 1002 calculates the price of cabbage for each category for each field. Specifically, for example, the calculation unit 1002 refers to the crop unit price master 240 and specifies the unit price “75 yen / kg” of the standard “excellent” / size “L” cabbage. Then, the calculation unit 1002 multiplies the output “480 [kg]” of the standard “Hide” and the size “L” of the field “Iwata-1” by the specified unit price “75 yen / kg”, thereby obtaining the standard “ The price “36,000 [yen]” of cabbage with “excellent” and size “L” is calculated. In this case, the output unit 1003 associates the calculated price “36,000 [yen]” of the standard “excellent” and size “L” with the field name “Iwata-1” in the yield information 800-1. Set (see FIG. 13).

<Total price [yen]>
Next, the calculation unit 1002 calculates the total value for each field by adding the calculated cabbage prices for each classification. Specifically, for example, the calculation unit 1002 calculates the total value “122,400 [yen]” of the field “Iwata-1” by adding the prices of cabbage for each classification of the field “Iwata-1”. To do. In this case, the output unit 1003 sets the calculated total value “122,400 [yen]” as the total price [yen] in the harvest amount information 800-1 in association with the field name “Iwata-1” ( (See FIG. 13).

<Ratio [%]>
Next, the calculation unit 1002 calculates the ratio of the cabbage volume [kg] for each classification apportioned for each field to the total volume [kg] for each field. Specifically, for example, the calculation unit 1002 calculates the cabbage of the standard “excellent” / size “L” of the field “Iwata-1” with respect to the total volume “1,800 [kg]” of the field “Iwata-1”. The ratio “27 [%]” of the volume “480 [kg]” is calculated. In this case, the output unit 1003 sets the ratio “27 [%]” of the calculated standard “excellent” and size “L” as the ratio [%], and associates it with the field name “Iwata-1” to obtain the yield information 800. Set to -1 (see FIG. 14).

(Screen example of sorting result screen by field)
Next, a screen example of the sorting result screen by field displayed on the display 406 of the client device 201 will be described.

  FIG. 15 is an explanatory diagram (part 1) of a screen example of a field-specific sorting result screen. In FIG. 15, a field-specific sorting result screen 1500 is a screen for displaying the amount of harvest for each classification of a specific crop produced in the field.

  When the box 1501 is clicked by the user's operation input using the input device 407 on the sorting result screen 1500 by field, the field name of the field that is the output target of the harvest amount for each specific crop classification can be input. . In the example of FIG. 15, the field name “Iwata-1” is input in the box 1501.

  When the search button 1502 is clicked on the sorting result screen 1500 by field, the harvest amount for each classification of the specific crop produced in the field “Kamata-1” can be displayed.

  In the example of FIG. 15, as a result of the search button 1502 being clicked, the sorting lot “L1” and the sorting lot name “July 1 AM sorted product (raw food cabbage)” are displayed on the sorting result screen 1500 by field. . Thereby, the user can specify what sort of crops are produced in which field group.

  In addition, the field-specific sorting result screen 1500 includes the harvest plan “4,000 kg”, the harvest result “1,800 kg”, the planned return “2,000 kg / 10a”, and the actual return “900 kg / 10a” for the field “Iwata-1”. Is displayed.

  Thereby, the user can grasp the harvest result “1,800 kg” for the harvest plan “4,000 kg” of the cabbage produced in the field “Iwata-1”. This harvest record “1,800 kg” corresponds to the total amount of cabbage harvested for each category that is apportioned for each field.

  In addition, the user can grasp the actual rebound “900 kg / 10a” with respect to the planned rebound “2,000 kg / 10a” of the cabbage produced in the field “Iwata-1”. This actual counter-revenue “900 kg / 10a” is a counter-recovery based on the total amount of cabbage harvested for each category that is prorated by area for each field. For example, it is possible to determine the compatibility of the planted crop on the field by comparing the actual revenues of the fields between different field groups.

  In addition, the field-specific sorting result screen 1500 represents “volume” representing the harvest amount in the storage unit and the harvest amount in the weight unit as the harvest amount for each classification of the cabbage produced in the field “Iwata-1”. “Volume [kg]” is displayed. For example, the volume “48 [case]” and the volume “480 [kg]” are displayed as the yield of the standard “excellent” and size “L” cabbage harvested in the field “Iwata-1”. Thereby, the user can grasp | ascertain the volume for every classification | category (standard | standard / size) about the cabbage produced in the agricultural field "Iwata-1".

  The field-specific sorting result screen 1500 displays the total volume “1,800 [kg]” and the total price “122,400 [yen]” of cabbage produced in the field “Iwata-1”. . Thereby, the user can grasp | ascertain the total output "1,800 [kg]" and the total price "122,400 [yen]" of the cabbage produced in the field "Iwata-1".

  Further, when a ratio button 1503 is clicked on the field-specific sorting result screen 1500, a ratio screen 1600 as shown in FIG.

  FIG. 16 is an explanatory diagram illustrating a screen example of the ratio screen. In FIG. 16, the ratio screen 1600 displays a pie chart 1601 that indicates the ratio of the harvest amount for each category for cabbage produced in the field “Iwata-1”. According to the pie chart 1601, it is possible to determine at what ratio the cabbage for each classification (standard / size) was harvested in the field “Iwata-1”. Thereby, the user can evaluate, for example, whether or not the cabbage of each classification (standard / size) has been produced in the field “Iwata-1” at a planned rate.

  FIG. 17 is an explanatory diagram (part 2) of a screen example of the sorting result screen by field. When the box 1501 is clicked by the user's operation input using the input device 407 on the sorting result screen 1500 by field, the field name of the field that is the output target of the harvest amount for each specific crop classification can be input. . In the example of FIG. 17, the field name “Iwata-2” is input in the box 1501.

  When the search button 1502 is clicked on the sorting result screen 1500 by field, the harvest amount for each classification of the specific crop produced in the field “Kamata-2” can be displayed.

  In the example of FIG. 17, as a result of the search button 1502 being clicked, the sorting lot “L1” and the sorting lot name “July 1 AM sorted product (raw food cabbage)” are displayed on the sorting result screen 1500 by field. . Thereby, the user can specify what sort of crops are produced in which field group.

  The field-specific sorting result screen 1500 includes a harvest plan “6,000 kg”, a harvest result “2,700 kg”, a scheduled return “2,000 kg / 10a”, and an actual return “900 kg / 10a” for the field “Iwata-2”. Is displayed.

  Thereby, the user can grasp | ascertain the harvest performance "2,700kg" with respect to the harvest plan "6,000kg" of the cabbage produced in the agricultural field "Iwata-2". This harvesting record “2,700 kg” corresponds to the total amount of cabbage harvested for each category that is apportioned for each field.

  In addition, the user can grasp the actual rebound “900 kg / 10a” with respect to the planned rebound “2,000 kg / 10a” of the cabbage produced in the field “Iwata-2”. This actual counter-revenue “900 kg / 10a” is a counter-recovery based on the total amount of cabbage harvested for each category that is prorated by area for each field.

  In addition, the field-specific sorting result screen 1500 represents “the output” representing the harvest amount in the storage unit and the harvest amount in the weight unit as the harvest amount for each classification of the cabbage produced in the field “Iwata-2”. “Volume [kg]” is displayed. For example, as the yield of cabbage with the standard “excellent” and size “L” produced in the field “Iwata-2”, the volume “72 [case]” and the volume “720 [kg]” are displayed. Thereby, the user can grasp | ascertain the volume for every classification | category (standard | standard / size) about the cabbage produced in the agricultural field "Iwata-2".

  The field-specific sorting result screen 1500 displays the total volume “2,700 [kg]” and the total price “183,600 [yen]” of cabbage produced in the field “Iwata-2”. . Thereby, the user can grasp | ascertain the total output "2,700 [kg]" and the total price "183,600 [yen]" of the cabbage produced in the field "Iwata-2".

(Procedure amount recording processing procedure of the harvest amount recording apparatus 101)
Next, the harvest amount recording processing procedure of the harvest amount recording apparatus 101 will be described.

  FIG. 18 is a flowchart illustrating an example of the harvest amount recording processing procedure of the harvest amount recording apparatus 101. In the flowchart of FIG. 18, the harvest amount recording apparatus 101 first determines whether selection information indicating a harvest amount for each classification of a specific crop produced in the field group has been received (step S1801).

  Here, the harvest amount recording apparatus 101 waits to receive selection information (step S1801: No). Then, when the selection information is received (step S1801: Yes), the harvest amount recording apparatus 101 refers to the production plan DB 220 and identifies the planting area at the time of cultivation of a specific crop in each field included in the field group. (Step S1802).

  Next, the harvest amount recording device 101 distributes the harvest amount for each classification of the specific crops produced in the field group according to the specified planting area of each field, thereby specifying the specific amount for each classification of each field. The crop yield is calculated (step S1803). Then, the harvest amount recording apparatus 101 calculates the total amount of the harvest amount of a specific crop for each calculated field classification for each field included in the field group (step S1804).

  Next, the harvest amount recording apparatus 101 refers to the crop unit price master 240 and identifies the unit price of a specific crop for each classification (step S1805). Then, the harvest amount recording device 101 classifies each field based on the unit price of the specific crop for each identified classification and the yield of the specific crop for each calculated classification for each field included in the field group. The price of each specific crop is calculated (step S1806).

  Next, the harvest amount recording apparatus 101 calculates the total value for each field by adding the prices of specific crops for each calculated classification for each field included in the field group (step S1807). Next, the harvest amount recording apparatus 101 calculates, for each field included in the field group, the ratio of the yield of the specific crop for each calculated classification to the total amount of the yield of the specific crop for each calculated classification. (Step S1808).

  The harvest amount recording apparatus 101 stores the calculation results calculated in steps S1803, S1804, S1806 to S1808 in the harvest amount DB 250 in association with the field names of the respective fields (step S1809), and a series of steps according to this flowchart. The process ends. Thereby, the harvest amount information for each field group can be recorded in the harvest amount DB 250.

  In addition, in addition to the acreage area, the process of apportioning the harvest amount according to the acreage area of each field in step S1803 is changed to apportion the harvest amount using other information associated with each acreage field. You can also For example, if information on the number of planted plants per unit area is stored in association with each field, this information may be used. Even if two fields have the same acreage, if the number of acreage per unit area is different, the yield is likely to be different. Therefore, by considering the amount of crops planted there in addition to the planted area, it is conceivable that the harvest amount for each field obtained as a result of the distribution will be a more probable value.

  For example, let us consider a case where the planted area of the field “Iwata-1” is 20a, the number of planted strains per unit area is 10, the area of the field “Iwata-2” is 30a, and the number of planted strains per unit area is 15. In this case, the acreage area ratio between the field “Iwata-1” and the field “Iwata-2” is 2: 3, and the acreage ratio per unit area is 2: 3. Here, if the number of planted strains per unit area is used with the same weight as the planted area, the yield ratio between the field “Iwata-1” and the field “Iwata-2” is 4 (= 2 × 2): 9 (= 3 × 3), 4 / (4 + 9) of the harvest amount can be used for the field “Iwata-1”, and 9 / (4 + 9) of the harvest amount can be used for the field “Iwata-2”.

  In the above description, the number of planted plants per unit area has been described as an example, but a value that can be considered to be proportional to the amount of crop planted on the field can be used. For example, the number of fruit trees planted in the field, the amount of seeds sown in the field, and the like may be used.

(Procedure-by-field sorting result display processing procedure of harvest amount recording apparatus 101)
Next, the sorting result display processing procedure for each field of the harvest amount recording apparatus 101 will be described.

  FIG. 19 is a flowchart showing an example of the sorting result display processing procedure by field of the harvest amount recording apparatus 101. In the flowchart of FIG. 19, first, the harvest amount recording apparatus 101 determines whether or not designation of a field name of a farm field that is a target for outputting a harvest amount for each specific crop classification is received (step S1901).

  Here, the harvest amount recording apparatus 101 waits to accept designation of the field name (step S1901: No). Then, when receiving the designation of the field name (step S1901: Yes), the harvest amount recording apparatus 101 reads the harvest amount information corresponding to the field name of the designated field from the harvest amount DB 250 (step S1902).

  Next, the harvest amount recording apparatus 101 creates screen information of the field-specific sorting result screen based on the read harvest amount information (step S1903). The harvest amount recording apparatus 101 displays the field-specific sorting result screen on the display 406 by transmitting the screen information of the created field-specific sorting result screen to the client device 201 (step S1904).

  Next, the harvest amount recording apparatus 101 determines whether or not the ratio button on the field-specific sorting result screen has been clicked (step S1905). Here, the harvest amount recording apparatus 101 waits for the ratio button to be clicked (step S1905: No).

  Then, when the ratio button is clicked (step S1905: Yes), the harvest amount recording apparatus 101 creates a pie chart showing the ratio of the harvest amount of a specific crop for each classification produced in the field (step S1906). . Next, the harvest amount recording apparatus 101 pops up and displays a ratio screen including the created pie chart on the display 406 (step S1907), and ends the series of processing according to this flowchart.

  As a result, it is possible to display information related to the harvest amount for each classification of a specific crop produced in the field on the display 406 of the client device 201.

  As described above, according to the harvest amount recording apparatus 101 according to the embodiment, the harvest amount of a specific crop for each classification produced in the field group is determined according to the planting area of each field included in the field group. Can be prorated. Thereby, the rough harvest amount for every classification | category of each field included in a field group can be calculated | required.

  Moreover, according to the harvest amount recording apparatus 101, the harvest amount corresponding to each field after the distribution for each classification is stored in the harvest amount DB 250 in association with the identifier of each field as the output (weight unit or storage unit). can do. Thereby, about the specific crop produced in the field group, the rough harvest amount for every classification | category of each field can be recorded.

  Moreover, according to the harvest amount recording apparatus 101, the total amount of the harvest amount of a specific crop for each classification that is prorated for each field is calculated, and the calculated total amount is used as the total trading volume in association with the field identifier. It can be stored in the quantity DB 250. Thereby, the rough harvest amount for every field can be recorded about the specific crop produced in the field group.

  Moreover, according to the harvest amount recording apparatus 101, the price of the specific crop for each classification is determined for each field based on the unit price of the specific crop for each classification and the yield of the specific crop for each of the allocated classifications. Can be calculated. Thereby, about the specific crop produced in the field group, the rough sales for every classification | category of each field can be estimated.

  Moreover, according to the harvest amount recording apparatus 101, the total value of the prices of specific crops for each field classification can be stored in the harvest amount DB 250 in association with the field identifier as a total price [yen]. . Thereby, about the specific crop produced in the field group, the rough sales for every field can be recorded.

  Moreover, according to the harvest amount recording apparatus 101, the ratio of the harvest amount of the specific crop for each classification distributed for each field to the total amount of the specific crop for each classification allocated to each field is calculated. can do. Thereby, about the specific crop produced in the field group, the ratio of the harvest amount for every classification | category of each field can be calculated | required.

  Further, according to the harvest amount recording apparatus 101, the ratio of the harvest amount of a specific crop for each calculated classification can be stored as a ratio [%] in the harvest amount DB 250 in association with the field identifier. Thereby, the ratio of the harvest amount for every classification | category of each field can be recorded about the specific crop produced by the field group.

  For these reasons, according to the harvest amount recording apparatus 101, even when crops are harvested and selected at the same time in the field, or when crops harvested in the field group are selected together, they are produced in the field group. For a particular crop, it is possible to record the approximate yield for each field classification. Thereby, the user can roughly grasp the information on the balance of each field for the crops produced in the field group, which can be used for reviewing the work in each field and reviewing the planting plan.

  The harvest amount recording method described in the present embodiment can be realized by executing a program prepared in advance on a computer such as a personal computer or a workstation. The harvest amount recording program is recorded on a computer-readable recording medium such as a hard disk, a flexible disk, a CD-ROM, an MO, and a DVD, and is executed by being read from the recording medium by the computer. The harvest amount recording program may be distributed via a network such as the Internet.

101 Harvest amount recording device 110 Storage unit 200 Agricultural support system 201 Client device 220 Production plan DB
230 Unit Master 240 Crop Unit Price Master 250 Harvest DB
900 Field selection screen 1001 Reception unit 1002 Calculation unit 1003 Output unit 1004 Creation unit 1500 Field-specific sorting result screen

  The present invention relates to a harvest amount recording method, a harvest amount recording program, and a harvest amount recording apparatus.

  In agriculture, crops produced in a field are often sorted and shipped based on size, weight, color, gloss, shape, presence or absence of scratches, and the like. For example, in the selection of cabbage, it is classified into classes such as S, M, L, and 2L based on size and weight. In addition, crops of the same item may be produced in multiple fields.

  As a prior art, for example, there is a technique for acquiring field yield data based on a total harvest area of a grain harvested by a harvesting unit and a total harvest amount of grains stored in a grain tank. Moreover, the evaluation information and the cultivation place of agricultural products are stored in the information management device in correspondence with the production information of the production department, the distribution information of the distribution department, and the consumption information of the consumption department, and information management is performed from the production department, distribution department, and consumption department. There is a technique that allows browsing, searching, and acquiring stored information by simply accessing the device.

JP 2003-289717 A JP 2004-133498 A

  However, according to the prior art, it may be difficult to obtain a sorting result such as how much crop is produced for each class in each field, for example, about a certain crop produced in a plurality of fields.

  In one aspect, the present invention provides a crop recording method, a crop recording program, and a crop recording apparatus for recording a rough crop for each field classification for crops produced in a plurality of fields. With the goal.

  According to one aspect of the present invention, the amount of the specific crop for each classification as a result of the specific crop produced in each of the plurality of fields being classified into a plurality of fields regardless of in which field The reference is made to the amount of the specific crop for each classification, with reference to the acreage during cultivation of the specific crop stored in the storage unit for each of the plurality of fields. Harvest amount recording method for harvesting according to each cropping area of a plurality of fields, and storing the amount corresponding to each field after the distribution for each classification in association with the identifier of each field A program and yield recorder are proposed.

  According to one aspect of the present invention, it is possible to record an approximate harvest amount for each field classification for crops produced in a plurality of fields.

FIG. 1 is an explanatory diagram of an example of a yield recording method according to an embodiment. FIG. 2 is an explanatory diagram illustrating a system configuration example of the agricultural support system 200. FIG. 3 is a block diagram illustrating a hardware configuration example of the harvest amount recording apparatus 101. FIG. 4 is a block diagram illustrating a hardware configuration example of the client device 201. FIG. 5 is an explanatory diagram showing an example of the contents stored in the production plan DB 220. FIG. 6 is an explanatory diagram showing an example of the contents stored in the unit master 230. FIG. 7 is an explanatory diagram showing an example of the contents stored in the crop unit price master 240. FIG. 8 is an explanatory diagram showing an example of the contents stored in the harvest amount DB 250. FIG. 9 is an explanatory diagram illustrating a screen example of a field selection screen. FIG. 10 is a block diagram illustrating a functional configuration example of the harvest amount recording apparatus 101. FIG. 11 is an explanatory diagram (part 1) illustrating a transition example of the storage contents of the harvest amount DB 250. FIG. 12 is an explanatory diagram (part 2) of a transition example of the storage contents of the harvest amount DB 250. FIG. 13 is an explanatory diagram (part 3) illustrating a transition example of the contents stored in the harvest amount DB 250. FIG. 14 is an explanatory diagram (part 4) illustrating a transition example of the stored contents of the harvest amount DB 250. FIG. 15 is an explanatory diagram (part 1) of a screen example of a field-specific sorting result screen. FIG. 16 is an explanatory diagram illustrating a screen example of the ratio screen. FIG. 17 is an explanatory diagram (part 2) of a screen example of the sorting result screen by field. FIG. 18 is a flowchart illustrating an example of the harvest amount recording processing procedure of the harvest amount recording apparatus 101. FIG. 19 is a flowchart showing an example of the sorting result display processing procedure by field of the harvest amount recording apparatus 101.

  DESCRIPTION OF EMBODIMENTS Embodiments of a harvest amount recording method, a harvest amount recording program, and a harvest amount recording apparatus according to the present invention will be described in detail below with reference to the drawings.

(An example of the harvest amount recording method)
FIG. 1 is an explanatory diagram of an example of a yield recording method according to an embodiment. In FIG. 1, a harvest amount recording device 101 is a computer that records a harvest amount of a crop produced in a farm field. Here, the fields are fields for cultivating and growing crops, vegetable gardens, and the like. A crop is a product produced by agricultural activities, and includes, for example, cereals, vegetables, fruits, and flower buds as a broad classification.

  The yield is the amount of the harvested crop, ie the harvest. As a unit representing the harvest amount, for example, a weight unit or a storage unit is used. The weight unit is a unit for measuring the weight of the harvest. Examples of the weight unit include kg (kilogram), t (ton), and lb (pound). The storage unit is a unit for counting containers for storing the harvest. Examples of the storage unit include a case, a box, a container, and a pack.

  The harvested crops are often sorted and shipped. Sorting is a classification based on the size, weight, color, gloss, shape, and presence / absence of scratches. Fruit sorting is sometimes called "fruit selection". For example, classification based on the size and weight of crops is called “class”. Examples of classes include S, M, L, and 2L. A classification based on the color, gloss, shape, and presence / absence of a crop is called a “grade”. Examples of grades include good, excellent, and excellence. The class and class are sometimes referred to as “equal class”.

  Here, in farming management, it is important to grasp the balance information for each field and use it for reviewing work and planting plans. However, the unit price of crops often varies from class to class. For this reason, in order to grasp the balance information for each field, it is required to record the harvest amount for each classification of the crops harvested in the field.

  However, a specific crop may be produced in a plurality of fields, and it may be difficult to obtain a yield for each classification of each field for a specific crop produced in a plurality of fields.

  For example, in the case of large vegetables such as cabbage and lettuce, when harvesting in a field, harvesting may be performed while sorting on the spot. In such a case, when an operator goes around a plurality of fields and harvests a certain category of crops, it is difficult to obtain a harvest amount for each field even though the yields of a plurality of fields can be obtained for a certain category. Become. For example, when only a crop having a size corresponding to the class “L” is harvested through a plurality of fields, the total yield of the plurality of fields can be obtained for the “L” crop, but the “L” crop of each field is obtained. It is difficult to get the yield. In addition, crops harvested in a plurality of fields may be put together into a sorter (or fruit sorter) to sort the crops. Even in such a case, it is difficult to obtain a harvest amount for each classification of each field. For example, when mandarin oranges harvested in a plurality of fields are put together into a fruit selection machine and sorted into a class such as S, M, L, etc., the total yield of citrus of the class “S” through a plurality of fields, The total yield of mandarin oranges of class “M” and the total yield of mandarin oranges of class “L” are obtained. However, it is difficult to obtain the yield of mandarin oranges of each class for each field.

  Therefore, in the present embodiment, a description will be given of a harvest amount recording method capable of recording a rough harvest amount for each classification of each field for crops produced in a plurality of fields. Hereinafter, a processing example of the harvest amount recording apparatus 101 according to the embodiment will be described.

  Here, a case is assumed in which the worker goes around the field A, the field B, and the field C and harvests cabbage while simultaneously harvesting and selecting in each field. In addition, 200 kg of class “2L” cabbage is harvested from three fields of field A, field B, and field C, 400 kg of cabbage of class “L” is harvested, and cabbage of class “M” is harvested. Assume that 120 [kg] is harvested.

  (1) The harvest amount recording device 101 has a specific crop amount for each classification as a result of classification into a plurality of specific crops produced in each of the plurality of farm fields. Is received. Here, as described above, the classification is, for example, a “class” based on the size and weight of the crop, and a “grade” based on the color, gloss, shape, and presence / absence of scratches of the crop. In addition to classes and grades, an index for classifying crops into a plurality may be used. Moreover, the amount of a specific crop is the yield of a specific crop.

  In the example of FIG. 1, the harvest amount recording apparatus 101 includes the amount “200 [kg]” of cabbage of class “2L”, the amount of cabbage “400 [kg]” of class “L”, and the class “M”. Information indicating the amount of cabbage “120 [kg]” is received. The amount of cabbage in each class is a result of the cabbage produced in each of the three fields, Field A, Field B, and Field C, being classified into a plurality of fields regardless of which field.

  (2) The harvest amount recording apparatus 101 refers to the specific crop amount for each classification with reference to the acreage area at the time of cultivation of the specific crop stored in the storage unit 110 for each of the plurality of fields. Apportion according to each planting area of multiple fields. Here, the planting area is an area for planting crops.

  In the example of FIG. 1, the acreage during cabbage cultivation for the field A is 20 [a], the acreage during cabbage cultivation for the field B is 10 [a], and the cabbage for the field C The acreage during cultivation is 10 [a].

  As an example, a case where the amount of cabbage “400 [kg]” of class “L” is apportioned will be described. In this case, for example, the harvest amount recording apparatus 101 supplies the amount of cabbage “400 [kg]” of the class “L” to each of the fields A, B, and C in proportion to the acreage of the fields A, B, and C. Distribute.

  As a result, the amount of cabbage of class “L” apportioned to the field A is 200 [kg] (= 400 [kg] × 20 [a] / (20 [a] +10 [a] +10 [a])) It becomes. Further, the amount of cabbage of the class “L” apportioned to the field B is 100 [kg] (= 400 [kg] × 10 [a] / (20 [a] +10 [a] +10 [a])) Become. The amount of cabbage of class “L” apportioned to the field C is 100 [kg] (= 400 [kg] × 10 [a] / (20 [a] +10 [a] +10 [a])) Become.

  (3) The harvest amount recording apparatus 101 stores the amount corresponding to each field after the distribution for each classification in association with the identifier of each field. Specifically, for example, the harvest amount recording apparatus 101 stores the cabbage amount “200 [kg]” of the class “L” allocated to the field A in association with the field name “A” of the field A. 110.

  The harvest amount recording apparatus 101 stores the cabbage amount “100 [kg]” of the class “L” apportioned to the field B in the storage unit 110 in association with the field name “B” of the field B. The harvest amount recording device 101 stores the cabbage amount “100 [kg]” of the class “L” apportioned to the field C in the storage unit 110 in association with the field name “C” of the field C.

  Thus, according to the harvest amount recording apparatus 101, the amount of a specific crop for each classification produced in a plurality of fields is prorated according to the acreage of each of the plurality of fields, thereby classifying each field. A rough yield can be obtained for each. Thereby, about the specific crop produced in the some field, the rough harvest amount for every classification | category of each field can be recorded.

  In the example of FIG. 1, for the cabbage produced in the fields A to C, it is possible to record a rough harvest amount for each class of the fields A to C. As a result, it becomes possible to roughly grasp the balance information of each of the farm fields A to C, which can be used for reviewing the work in each of the farm fields A to C and reviewing the planting plan.

(System configuration example of the agricultural support system 200)
Next, the case where the harvest amount recording apparatus 101 shown in FIG. 1 is applied to the agricultural support system 200 will be described.

  FIG. 2 is an explanatory diagram illustrating a system configuration example of the agricultural support system 200. In FIG. 2, the agricultural support system 200 is configured to include a harvest amount recording device 101 and a plurality of client devices 201 (two in FIG. 2). In the agricultural support system 200, the harvest amount recording apparatus 101 and the client apparatus 201 are connected via a wired or wireless network 210. The network 210 is, for example, a local area network (LAN), a wide area network (WAN), or the Internet.

  Here, the harvest amount recording apparatus 101 has a production plan DB (database) 220, a unit master 230, a crop unit price master 240, and a harvest amount DB 250, and records the harvest amount of the crop produced in the field. The harvest amount recording apparatus 101 is, for example, a server. The stored contents of various DBs 220, 230, 240, 250 will be described later with reference to FIGS.

  The client device 201 is a computer that has a display (for example, a display 406 shown in FIG. 4 described later) and can display various screens according to the display control of the harvest amount recording device 101. The client device 201 is, for example, a PC, a notebook PC, a tablet PC, a smartphone, or the like used by farm managers and workers.

  Specifically, for example, when the harvest amount recording apparatus 101 receives a display request for various screens from the client apparatus 201, the harvest amount recording apparatus 101 transmits screen information for the various screens to the client apparatus 201. As a result, various screens are displayed on the display of the client device 201.

(Example of hardware configuration of the harvest amount recording apparatus 101)
FIG. 3 is a block diagram illustrating a hardware configuration example of the harvest amount recording apparatus 101. In FIG. 3, the harvest amount recording apparatus 101 includes a CPU (Central Processing Unit) 301, a memory 302, an I / F (Interface) 303, a disk drive 304, and a disk 305. Each component is connected by a bus 300.

  Here, the CPU 301 controls the entire harvest amount recording apparatus 101. The memory 302 includes, for example, a ROM (Read Only Memory), a RAM (Random Access Memory), and a flash ROM. Specifically, for example, a flash ROM or ROM stores various programs, and a RAM is used as a work area for the CPU 301. The program stored in the memory 302 is loaded into the CPU 301 to cause the CPU 301 to execute the coded process.

  The I / F 303 is connected to the network 210 through a communication line, and is connected to another computer (for example, the client device 201 illustrated in FIG. 2) via the network 210. The I / F 303 controls an internal interface with the network 210 and controls input / output of data from other computers. For example, a modem or a LAN adapter may be employed as the I / F 303.

  The disk drive 304 controls reading / writing of data with respect to the disk 305 according to the control of the CPU 301. The disk 305 stores data written under the control of the disk drive 304. Examples of the disk 305 include a magnetic disk and an optical disk.

  Note that the harvest amount recording apparatus 101 may include, for example, an SSD (Solid State Drive), a keyboard, a mouse, and a display in addition to the above-described components.

(Example of hardware configuration of client apparatus 201)
FIG. 4 is a block diagram illustrating a hardware configuration example of the client device 201. In FIG. 4, the client device 201 includes a CPU 401, a memory 402, a disk drive 403, a disk 404, an I / F 405, a display 406, and an input device 407. Each component is connected by a bus 400.

  Here, the CPU 401 governs overall control of the client device 201. The memory 402 includes, for example, a ROM, a RAM, a flash ROM, and the like. Specifically, for example, a flash ROM or ROM stores various programs, and the RAM is used as a work area of the CPU 401. The program stored in the memory 402 is loaded on the CPU 401 to cause the CPU 401 to execute the coded process.

  The disk drive 403 controls reading / writing of data with respect to the disk 404 according to the control of the CPU 401. The disk 404 stores data written under the control of the disk drive 403. Examples of the disk 404 include a magnetic disk and an optical disk.

  The I / F 405 is connected to the network 210 via a communication line, and is connected to another computer (for example, the harvest amount recording apparatus 101 shown in FIG. 2) via the network 210. The I / F 405 controls an internal interface with the network 210 and controls data input / output from other computers.

  The display 406 displays data such as a document, an image, and function information as well as a cursor, an icon, or a tool box. The display 406 can employ, for example, a CRT (Cathode Ray Tube), a liquid crystal display, an organic EL (Electroluminescence) display, or the like.

  The input device 407 has keys for inputting characters, numbers, various instructions, and the like, and inputs data. The input device 407 may be a keyboard or a mouse, or may be a touch panel type input pad or a numeric keypad.

  Note that the client device 201 may not include, for example, the disk drive 403 and the disk 404 among the above-described components. The client device 201 may include, for example, an SSD, a scanner, and a printer in addition to the above-described components.

(Storage contents of various DBs 220, 230, 240, 250)
Next, the storage contents of various DBs 220, 230, 240, 250 will be described with reference to FIGS. The various DBs 220, 230, 240, and 250 are realized by storage devices such as the memory 302 and the disk 305 of the harvest amount recording apparatus 101 shown in FIG.

<Storage contents of production plan DB 220>
FIG. 5 is an explanatory diagram showing an example of the contents stored in the production plan DB 220. In FIG. 5, the production plan DB 220 has fields of field name, item, product type, cropping type, and cropping area. By setting information in each field, production plan information (for example, production plan information 500-1 to 500-3) is stored as a record.

  Here, the production plan is a plan for how much and how much the crop to be produced is planted. Cultivation of crops in each field is performed according to the production plan. The field name is the name of the field. As the field name, for example, a pen name that is a name of a section obtained by dividing one field may be used. The item is a crop type. Examples of the item include tomato, cucumber, paddy rice, cabbage and the like.

  A kind is a kind in the same item. For example, as a variety of cabbage, “Saifu” or “Green Ball” for summer-growing varieties, “Middle-early birth 2”, “Middle-early birth 3”, “early autumn”, “new style”, etc. There is. Cropping is a system that shows a combination of conditions and techniques when cultivating crops. Examples of cropping patterns include house cultivation, open field cultivation, and summer sowing cultivation. The planted area is the area where the crop is planted.

  For example, the production plan information 500-1 includes a crop item “cabbage”, a variety “Ox”, a cropping type “ΔΔ cultivation”, and a cropping area “20 [a]” to be planted on the field “Kamata-1”. Show.

  In addition to the above-described information, the production plan DB 220 stores, for example, information such as harvest plans, harvest results, planned backlashes, and actual backlashes for each field. The harvest plan shows the target crop yield. The harvest record indicates the amount of crops harvested in the field. The planned rebound represents the rebound of the target crop. The actual return is the return of the crop harvested in the field. The term “revenue” refers to the crop yield per field. The counter-revenue may be expressed per 10a (R) instead of per hit.

<Storage contents of unit master 230>
FIG. 6 is an explanatory diagram showing an example of the contents stored in the unit master 230. In FIG. 6, the unit master 230 has fields for items, storage units, and kg converted values. By setting information in each field, unit information (for example, unit information 600-1 to 600-3) is stored as a record.

  Here, the item is the type of crop. The storage unit is a unit for counting containers for storing harvested products used in harvesting operations and sorting operations. The kg conversion value indicates a conversion ratio applied when converting a value indicating the crop yield in storage units into kg as a weight unit. For example, the unit information 600-1 indicates a conversion ratio “10.0” applied when converting a value indicating the amount of cabbage harvested in case units into kg.

  In the example of FIG. 6, the storage unit and the kg converted value are stored in association with the crop item, but the present invention is not limited to this. For example, the storage unit and the kg converted value may be stored in association with the combination of the crop item, the variety, and the cropping type.

<Storage contents of crop unit price master 240>
FIG. 7 is an explanatory diagram showing an example of the contents stored in the crop unit price master 240. In FIG. 7, the crop unit price master 240 has fields of item, standard, size, and unit price. By setting information in each field, unit price information (for example, unit price information 700-1 to 700-4) is stored as a record.

  Here, the item is the type of crop. The standard indicates the classification based on the color, gloss, shape, and presence / absence of a crop, and corresponds to the “grade” described above. The size indicates a classification based on the size and weight of the crop, and corresponds to the “class” described above. The unit price is the price of the crop per kg. For example, the unit price information 700-1 indicates the unit price “75 yen / kg” of the standard “excellent” / size “L” cabbage.

  In the example of FIG. 7, the standard, size, and unit price are stored in association with the crop item, but are not limited thereto. For example, standards, sizes, and unit prices may be stored in association with combinations of crop items, varieties, and cropping types.

<Storage contents of harvest amount DB250>
FIG. 8 is an explanatory diagram showing an example of the contents stored in the harvest amount DB 250. In FIG. 8, the yield DB 250 includes lot ID, lot name, item, total [kg], field name, standard, size, volume [kg], ratio [%], total volume [kg], price [yen] and It has a field of total price [yen]. By setting information in each field, harvest information (for example, harvest information 800-1) is stored as a record.

  Here, the lot ID is an identifier for uniquely identifying the selected lot. The sorting lot indicates a sorting result of a specific crop produced in the field group. A field group includes one or more fields. The lot name is the name of the selected lot. The item is a type of a specific crop produced in each field of the field group. The total [kg] indicates the total amount of crops produced in each field of the field group in weight units.

  The field name is the name of the field included in the field group. The standard corresponds to the “grade” described above. The size corresponds to the “class” described above. The output [kg] indicates the amount of harvest by weight for each classification of a specific crop produced in the field. The classification here is a combination (equal class) of a standard (class) and a size (class).

  The ratio [%] is the total yield of each specific crop produced on the field, that is, the ratio of the yield of each crop classified to the yield of the specific crop produced on the field. Show. Total volume [kg] indicates the yield of a specific crop produced in the field by weight. The price [yen] is a price corresponding to the yield for each classification of a specific crop produced in the field.

  The total price [yen] is a total value of the prices corresponding to the yield for each classification of the specific crops produced in the field, that is, the price corresponding to the yield of the specific crops produced in the field. In addition, although illustration is abbreviate | omitted, the information which shows the selection date by which the specific crop produced in the agricultural field group was selected may be contained in harvest amount information, for example.

(Screen example of field selection screen)
Next, a screen example of a field selection screen displayed on the display 406 of the client device 201 will be described. In the following description, a case where a click operation is performed as an operation for the user to select an item or the like displayed on the operation screen will be described as an example.

  FIG. 9 is an explanatory diagram illustrating a screen example of a field selection screen. In FIG. 9, the field selection screen 900 shows a result of the classification of a specific crop for each classification as a result of being classified into a plurality of fields regardless of which field the specific crop produced in each field of the field group is produced. It is an operation screen for inputting a harvest amount.

  When the icon 901 is clicked by a user operation input using the input device 407 shown in FIG. 4 on the field selection screen 900, a selection date for selecting a specific crop produced in the field group can be input. it can. In the example of FIG. 9, the selection date “July 1, 2014” is input.

  In addition, when an icon 902 is clicked on the field selection screen 900, a field included in the field group can be selected. In the example of FIG. 9, the field “Iwata-1” and the field “Iwata-2” are selected. The options that can be selected by clicking the icon 902 include, in addition to the field name of the field, for example, the item of the crop produced in the field, the variety, and the acreage during cultivation.

  In addition, when the box 903 is clicked on the field selection screen 900, the lot ID of the selected lot can be input. In the example of FIG. 9, the lot ID “L1” is input. However, the lot ID may be automatically numbered. In addition, when a box 904 is clicked on the field selection screen 900, the lot name of the selected lot can be input. In the example of FIG. 9, the lot name “July 1 AM selection product (raw cabbage)” is input.

  In addition, when the icons 905 to 908 are clicked on the field selection screen 900, the standard of the crop produced in the field group can be selected. In the example of FIG. 9, for example, the icon 905 is clicked, and the standard “excellent” of the crop produced in the field group is selected.

  In addition, when the icons 909 to 912 are clicked on the field selection screen 900, the size of the crop produced in the field group can be selected. In the example of FIG. 9, for example, the icon 909 is clicked, and the size “L” of the crop produced in the field group is selected.

  In addition, when the boxes 913 to 916 are clicked on the field selection screen 900, a value indicating the harvest amount for each classification of the crops produced in the field group can be input. In the example of FIG. 9, for example, a box 913 is clicked, and a value “120” indicating the harvest amount of the standard “excellent” and size “L” of the crop produced in the field group in units of cases is input.

  In addition, when the icons 917 to 920 are clicked on the field selection screen 900, the storage units of the crops produced in the field group can be selected. In the example of FIG. 9, for example, the icon 917 is clicked, and the storage unit “case” of the crop produced in the field group is selected.

  In addition, when the boxes 921 to 924 are clicked on the field selection screen 900, it is possible to input a value indicating the harvest amount for each classification of the crops produced in the field group in units of weight. However, when a value (volume) is input to the boxes 913 to 916, a value (volume (kg)) obtained by converting the input value into kg may be automatically input to the boxes 921 to 924. In the example of FIG. 9, for example, a value “1,200” obtained by converting the value “120” input in the box 913 into kg is input in the box 921.

  Further, when a value (volume (kg)) is input in the boxes 921 to 924, a total value (total) of the input values is displayed in the box 925. In the example of FIG. 9, the total value “4,500 kg” of the values input in the boxes 921 to 924 is input to the box 925.

  In addition, when a detail addition button 926 is clicked on the field selection screen 900, a line for inputting a standard, a size, a volume, a unit, and a volume (kg) can be added.

  In addition, when the registration button 927 is clicked on the field selection screen 900, sorting information including the result input on the field selection screen 900 is transmitted to the harvest amount recording apparatus 101. As a result, with respect to a specific crop produced in each field of the field group, it is possible to record the harvest amount for each field classification.

(Functional configuration example of the harvest amount recording apparatus 101)
FIG. 10 is a block diagram illustrating a functional configuration example of the harvest amount recording apparatus 101. In FIG. 10, the harvest amount recording apparatus 101 is configured to include a reception unit 1001, a calculation unit 1002, an output unit 1003, and a creation unit 1004. The accepting unit 1001 to the creating unit 1004 are functions as control units. Specifically, for example, by causing the CPU 301 to execute a program stored in a storage device such as the memory 302 and the disk 305 illustrated in FIG. Alternatively, the function is realized by the I / F 303. The processing result of each functional unit is stored in a storage device such as the memory 302 and the disk 305, for example.

  The accepting unit 1001 accepts selection information indicating the amount of harvest for each classification of a specific crop produced in the field group. Here, the harvest amount for each classification of a specific crop is a result of classification into a plurality of fields regardless of which field the specific crop produced in each field of the field group is produced.

  The selection information is input by, for example, an operation input by the user of the client apparatus 201 on the field selection screen 900 (see FIG. 9). The client device 201 transmits the input sorting information to the harvest amount recording device 101. In this case, the reception unit 1001 receives selection information from the client device 201.

  The sorting information includes, for example, the sorting date, the field name of the field included in the field group, the lot ID of the selected lot, the lot name, the item of the specific crop, the variety, and the classification of the specific crop produced in the field group. Information indicating the amount of harvest is included. The yield may be expressed in any unit of weight unit or storage unit.

  In addition, the reception unit 1001 is, for example, a specific unit produced in the farm group from another system connected to a sorter (or a fruit sorter) in which a particular crop produced in the farm group is sorted. You may decide to receive the selection information which shows the harvest amount for every classification | category of a crop.

  The calculation unit 1002 calculates a harvest amount for each classification of each field included in the field group based on the received selection information. Specifically, for example, first, the calculation unit 1002 refers to the production plan DB 220 (see FIG. 5) to determine the planting area at the time of cultivation of a specific crop corresponding to the field name of each field included in the field group. Identify. And the calculation part 1002 calculates the harvest amount for every classification | category of each field by distributing the harvest amount for every classification | category of the specific crop produced by the field group according to the planting area of each identified field. .

  In addition, the yield for each classification of a specific crop produced in the field group may be expressed in storage units. In this case, the calculation unit 1002 may refer to the unit master 230 (see FIG. 6) to convert the harvest amount for each specific crop classification into kg as a weight unit. An example of calculating the harvest amount for each field classification will be described later with reference to FIG.

  The output unit 1003 outputs the calculated yield for each classification of each field. As an output format of the output unit 1003, for example, storage in a storage device such as the memory 302 and the disk 305, transmission to an external computer (for example, the client device 201) by the I / F 303, and print output to a printer (not shown) and so on.

  Specifically, for example, the output unit 1003 associates the harvest amount corresponding to each field after distribution for each classification as the output [kg] (or the output of the storage unit) and the identifier of each field. It memorize | stores in harvest amount DB250 (refer FIG. 8). The field identifier is, for example, the field name of the field.

  Further, the calculation unit 1002 may calculate the total amount of the harvest amount of a specific crop for each classification apportioned for each field. This total amount corresponds to the yield of a specific crop produced in the field. An example of calculating the total harvest amount of a specific crop will be described later with reference to FIG.

  In this case, the output unit 1003 may output the total amount of the calculated crop yield. Specifically, for example, the output unit 1003 stores the calculated total amount in the harvest amount DB 250 in association with the field identifier as the total volume [kg] (or the total volume of the storage unit). Also good.

  However, the total yield [kg] of the field may already be stored in the harvest amount DB 250 by manual input by the operator. In this case, the harvest amount recording apparatus 101 may accept selection of which one of the already stored value and the calculated total amount is stored as the total volume [kg].

  The calculation unit 1002 also determines the price of the specific crop for each category based on the price per unit amount of the specific crop for each category and the yield of the specific crop for each apportioned category for each field. May be calculated. This price corresponds to the amount of money obtained by selling a specific crop for each category produced in the field.

  In this case, the output unit 1003 may output the price of a specific crop for each calculated classification. Specifically, for example, the output unit 1003 may store the calculated price of the specific crop for each classification in the harvest amount DB 250 in association with the field identifier.

  Further, the calculation unit 1002 may calculate a total value for each field by adding the prices of specific crops for each calculated classification. This total value corresponds to the amount of money obtained by selling a specific crop produced in the field. An example of calculating the total value for each field will be described later with reference to FIG.

  In this case, the output unit 1003 may output the calculated sum for each field. Specifically, for example, the output unit 1003 may store the calculated total value for each field as a total price [yen] in the harvest amount DB 250 in association with the field identifier.

  In addition, the calculation unit 1002 calculates the ratio of the harvest amount of the specific crop for each classification apportioned for each field to the total amount of the harvest of the specific crop for each apportionment for each field. Also good. This ratio serves as an index for judging at what ratio a specific crop for each classification is harvested in each field. An example of calculating the ratio of the yield of a specific crop for each classification will be described later with reference to FIG.

  In this case, the output unit 1003 may output the ratio of the yield of a specific crop for each calculated classification. Specifically, for example, the output unit 1003 may store the calculated crop yield ratio for each classification as a ratio [%] in the harvest DB 250 in association with the field identifier. Good.

  In addition, the receiving unit 1001 may receive designation of an identifier of a farm field. The field identifier specified here is, for example, the field identifier that is the output target of the harvest amount for each specific crop classification. The designation of the field identifier is performed, for example, by an operation input by the user of the client apparatus 201 on the field-specific sorting result screen 1500 shown in FIG. The client apparatus 201 transmits the input result that has been input to the harvest amount recording apparatus 101. In this case, the receiving unit 1001 may receive the designation of the field identifier by receiving the input result from the client device 201.

  The creation unit 1004 creates field-specific sorting result information indicating the harvest amount for each classification of a specific crop produced in the designated field. Specifically, for example, first, the creation unit 1004 reads the harvest amount information corresponding to the specified field identifier from the harvest amount DB 250. Then, the creation unit 1004 may create screen information of the field-specific sorting result screen 1500 as shown on the lower side of FIG. 15 described later based on the read harvest amount information.

  Further, the output unit 1003 outputs the created field-specific sorting result information. Specifically, for example, the output unit 1003 displays the sorting result screen 1500 by field on the display 406 of the client device 201 by transmitting the screen information of the created sorting result screen 1500 by field to the client device 201. Control may be performed.

  In addition, the creation unit 1004 may create a graph indicating the ratio of the yield of a specific crop for each classification produced in the field. The graph is, for example, a pie graph or a bar graph. Specifically, for example, the creation unit 1004 creates a pie chart (for example, a pie chart 1601 shown in FIG. 16 to be described later) indicating the ratio of the yield of a specific crop for each classification produced in the field. May be.

  In this case, the output unit 1003 may output the created graph. Specifically, for example, the output unit 1003 may perform control to display a ratio screen 1600 including a pie chart 1601 on the display 406 of the client apparatus 201 as illustrated in FIG.

(Transition example of stored contents of harvest DB250)
Next, with reference to FIGS. 11 to 14, a transition example of the storage contents of the harvest amount DB 250 will be described by taking as an example a case where the selection information input on the field selection screen 900 shown in FIG. 9 is received.

  FIGS. 11-14 is explanatory drawing which shows the example of a change of the memory content of harvest amount DB250. First, based on the received sorting information, the receiving unit 1001 stores the lot ID, lot name, specific crop item, total [kg] of the selected lot, and the field names of the fields included in the field group in each field. Set (see FIG. 11).

  As a result, the harvest amount information 800-1 is stored in the harvest amount DB 250 as a new record. However, at this time, the fields of the standard, size, volume [kg], ratio [%], total volume [kg], price [yen], and total price [yen] of the yield information 800-1 are not set. .

<Volume [kg]>
Next, the calculation unit 1002 calculates a harvest amount for each classification of each field included in the field group based on the selection information. As an example, a case will be described in which the harvest of cabbage with the standard “excellent” and size “L” produced in the field group is prorated. However, it is assumed that the harvest amount is expressed in storage units (cases in the example of FIG. 9).

  In this case, the calculation unit 1002 refers to the unit master 230 and specifies the kg converted value “10.0” corresponding to the item “cabbage” and the storage unit “case”. Then, the calculation unit 1002 multiplies the yield “120 [case]” of the cabbage having the standard “excellent” / size “L” by the specified kg converted value “10.0” to obtain the yield in kg. “1,200 [kg]” is obtained.

  Next, the calculation unit 1002 refers to the production plan DB 220, and the planting area “at the time of cultivation of the crop of the item“ cabbage ”and the variety“ Ox ”for the field name“ Iwata-1 ”of the field included in the field group“ 20 [a] "is specified. In addition, the calculation unit 1002 refers to the production plan DB 220, and the planting area “30” at the time of cultivation of the crop of the item “cabbage” and the variety “Ox” for the field name “Iwata-2” of the field included in the field group. [A] "is specified.

  Then, the calculation unit 1002 apportions the harvested amount “1,200 [kg]” of the standard “excellent” and size “L” cabbage harvested in the field group according to the identified acreage of each field. Thus, the yield of the standard “excellent” / size “L” of each field is calculated. Here, the harvest amount of the standard “Hide” and the size “L” of the field “Iwata-1” is “480 [kg]”. In addition, the harvest amount of the standard “Hide” and the size “L” of the field “Iwata-2” is “720 [kg]”.

  In this case, the output unit 1003 sets the yield “480 [kg]” of the calculated standard “excellent” and size “L” as the output [kg], and associates it with the field name “Iwata-1”. Set to 800-1. Further, the output unit 1003 sets the harvest amount “720 [kg]” of the calculated standard “excellent” and size “L” as the output [kg], and associates it with the field name “Iwata-2” to obtain the harvest amount information 800. Set to −1 (see FIG. 12).

<Total volume [kg]>
Next, the calculation unit 1002 calculates the total amount of the harvested cabbage for each classification that is prorated for each field. For example, the calculation unit 1002 calculates the total amount “1,800 [kg]” of the cabbage volume [kg] for each classification of the field “Iwata-1”. In this case, the output unit 1003 sets the calculated total amount “1,800 [kg]” as the total volume [kg] in the harvest amount information 800-1 in association with the field name “Iwata-1” ( (See FIG. 12).

<Price [Yen]>
Next, the calculation unit 1002 calculates the price of cabbage for each category for each field. Specifically, for example, the calculation unit 1002 refers to the crop unit price master 240 and specifies the unit price “75 yen / kg” of the standard “excellent” / size “L” cabbage. Then, the calculation unit 1002 multiplies the output “480 [kg]” of the standard “Hide” and the size “L” of the field “Iwata-1” by the specified unit price “75 yen / kg”, thereby obtaining the standard “ The price “36,000 [yen]” of cabbage with “excellent” and size “L” is calculated. In this case, the output unit 1003 associates the calculated price “36,000 [yen]” of the standard “excellent” and size “L” with the field name “Iwata-1” in the yield information 800-1. Set (see FIG. 13).

<Total price [yen]>
Next, the calculation unit 1002 calculates the total value for each field by adding the calculated cabbage prices for each classification. Specifically, for example, the calculation unit 1002 calculates the total value “122,400 [yen]” of the field “Iwata-1” by adding the prices of cabbage for each classification of the field “Iwata-1”. To do. In this case, the output unit 1003 sets the calculated total value “122,400 [yen]” as the total price [yen] in the harvest amount information 800-1 in association with the field name “Iwata-1” ( (See FIG. 13).

<Ratio [%]>
Next, the calculation unit 1002 calculates the ratio of the cabbage volume [kg] for each classification apportioned for each field to the total volume [kg] for each field. Specifically, for example, the calculation unit 1002 calculates the cabbage of the standard “excellent” / size “L” of the field “Iwata-1” with respect to the total volume “1,800 [kg]” of the field “Iwata-1”. The ratio “27 [%]” of the volume “480 [kg]” is calculated. In this case, the output unit 1003 sets the ratio “27 [%]” of the calculated standard “excellent” and size “L” as the ratio [%], and associates it with the field name “Iwata-1” to obtain the yield information 800. Set to -1 (see FIG. 14).

(Screen example of sorting result screen by field)
Next, a screen example of the sorting result screen by field displayed on the display 406 of the client device 201 will be described.

  FIG. 15 is an explanatory diagram (part 1) of a screen example of a field-specific sorting result screen. In FIG. 15, a field-specific sorting result screen 1500 is a screen for displaying the amount of harvest for each classification of a specific crop produced in the field.

  When the box 1501 is clicked by the user's operation input using the input device 407 on the sorting result screen 1500 by field, the field name of the field that is the output target of the harvest amount for each specific crop classification can be input. . In the example of FIG. 15, the field name “Iwata-1” is input in the box 1501.

  When the search button 1502 is clicked on the sorting result screen 1500 by field, the harvest amount for each classification of the specific crop produced in the field “Kamata-1” can be displayed.

  In the example of FIG. 15, as a result of the search button 1502 being clicked, the sorting lot “L1” and the sorting lot name “July 1 AM sorted product (raw food cabbage)” are displayed on the sorting result screen 1500 by field. . Thereby, the user can specify what sort of crops are produced in which field group.

  In addition, the field-specific sorting result screen 1500 includes the harvest plan “4,000 kg”, the harvest result “1,800 kg”, the planned return “2,000 kg / 10a”, and the actual return “900 kg / 10a” for the field “Iwata-1”. Is displayed.

  Thereby, the user can grasp the harvest result “1,800 kg” for the harvest plan “4,000 kg” of the cabbage produced in the field “Iwata-1”. This harvest record “1,800 kg” corresponds to the total amount of cabbage harvested for each category that is apportioned for each field.

  In addition, the user can grasp the actual rebound “900 kg / 10a” with respect to the planned rebound “2,000 kg / 10a” of the cabbage produced in the field “Iwata-1”. This actual counter-revenue “900 kg / 10a” is a counter-recovery based on the total amount of cabbage harvested for each category that is prorated by area for each field. For example, it is possible to determine the compatibility of the planted crop on the field by comparing the actual revenues of the fields between different field groups.

  In addition, the field-specific sorting result screen 1500 represents “volume” representing the harvest amount in the storage unit and the harvest amount in the weight unit as the harvest amount for each classification of the cabbage produced in the field “Iwata-1”. “Volume [kg]” is displayed. For example, the volume “48 [case]” and the volume “480 [kg]” are displayed as the yield of the standard “excellent” and size “L” cabbage harvested in the field “Iwata-1”. Thereby, the user can grasp | ascertain the volume for every classification | category (standard | standard / size) about the cabbage produced in the agricultural field "Iwata-1".

  The field-specific sorting result screen 1500 displays the total volume “1,800 [kg]” and the total price “122,400 [yen]” of cabbage produced in the field “Iwata-1”. . Thereby, the user can grasp | ascertain the total output "1,800 [kg]" and the total price "122,400 [yen]" of the cabbage produced in the field "Iwata-1".

  Further, when a ratio button 1503 is clicked on the field-specific sorting result screen 1500, a ratio screen 1600 as shown in FIG.

  FIG. 16 is an explanatory diagram illustrating a screen example of the ratio screen. In FIG. 16, the ratio screen 1600 displays a pie chart 1601 that indicates the ratio of the harvest amount for each category for cabbage produced in the field “Iwata-1”. According to the pie chart 1601, it is possible to determine at what ratio the cabbage for each classification (standard / size) was harvested in the field “Iwata-1”. Thereby, the user can evaluate, for example, whether or not the cabbage of each classification (standard / size) has been produced in the field “Iwata-1” at a planned rate.

  FIG. 17 is an explanatory diagram (part 2) of a screen example of the sorting result screen by field. When the box 1501 is clicked by the user's operation input using the input device 407 on the sorting result screen 1500 by field, the field name of the field that is the output target of the harvest amount for each specific crop classification can be input. . In the example of FIG. 17, the field name “Iwata-2” is input in the box 1501.

  When the search button 1502 is clicked on the sorting result screen 1500 by field, the harvest amount for each classification of the specific crop produced in the field “Kamata-2” can be displayed.

  In the example of FIG. 17, as a result of the search button 1502 being clicked, the sorting lot “L1” and the sorting lot name “July 1 AM sorted product (raw food cabbage)” are displayed on the sorting result screen 1500 by field. . Thereby, the user can specify what sort of crops are produced in which field group.

  The field-specific sorting result screen 1500 includes a harvest plan “6,000 kg”, a harvest result “2,700 kg”, a scheduled return “2,000 kg / 10a”, and an actual return “900 kg / 10a” for the field “Iwata-2”. Is displayed.

  Thereby, the user can grasp | ascertain the harvest performance "2,700kg" with respect to the harvest plan "6,000kg" of the cabbage produced in the agricultural field "Iwata-2". This harvesting record “2,700 kg” corresponds to the total amount of cabbage harvested for each category that is apportioned for each field.

  In addition, the user can grasp the actual rebound “900 kg / 10a” with respect to the planned rebound “2,000 kg / 10a” of the cabbage produced in the field “Iwata-2”. This actual counter-revenue “900 kg / 10a” is a counter-recovery based on the total amount of cabbage harvested for each category that is prorated by area for each field.

  In addition, the field-specific sorting result screen 1500 represents “the output” representing the harvest amount in the storage unit and the harvest amount in the weight unit as the harvest amount for each classification of the cabbage produced in the field “Iwata-2”. “Volume [kg]” is displayed. For example, as the yield of cabbage with the standard “excellent” and size “L” produced in the field “Iwata-2”, the volume “72 [case]” and the volume “720 [kg]” are displayed. Thereby, the user can grasp | ascertain the volume for every classification | category (standard | standard / size) about the cabbage produced in the agricultural field "Iwata-2".

  The field-specific sorting result screen 1500 displays the total volume “2,700 [kg]” and the total price “183,600 [yen]” of cabbage produced in the field “Iwata-2”. . Thereby, the user can grasp | ascertain the total output "2,700 [kg]" and the total price "183,600 [yen]" of the cabbage produced in the field "Iwata-2".

(Procedure amount recording processing procedure of the harvest amount recording apparatus 101)
Next, the harvest amount recording processing procedure of the harvest amount recording apparatus 101 will be described.

  FIG. 18 is a flowchart illustrating an example of the harvest amount recording processing procedure of the harvest amount recording apparatus 101. In the flowchart of FIG. 18, the harvest amount recording apparatus 101 first determines whether selection information indicating a harvest amount for each classification of a specific crop produced in the field group has been received (step S1801).

  Here, the harvest amount recording apparatus 101 waits to receive selection information (step S1801: No). Then, when the selection information is received (step S1801: Yes), the harvest amount recording apparatus 101 refers to the production plan DB 220 and identifies the planting area at the time of cultivation of a specific crop in each field included in the field group. (Step S1802).

  Next, the harvest amount recording device 101 distributes the harvest amount for each classification of the specific crops produced in the field group according to the specified planting area of each field, thereby specifying the specific amount for each classification of each field. The crop yield is calculated (step S1803). Then, the harvest amount recording apparatus 101 calculates the total amount of the harvest amount of a specific crop for each calculated field classification for each field included in the field group (step S1804).

  Next, the harvest amount recording apparatus 101 refers to the crop unit price master 240 and identifies the unit price of a specific crop for each classification (step S1805). Then, the harvest amount recording device 101 classifies each field based on the unit price of the specific crop for each identified classification and the yield of the specific crop for each calculated classification for each field included in the field group. The price of each specific crop is calculated (step S1806).

  Next, the harvest amount recording apparatus 101 calculates the total value for each field by adding the prices of specific crops for each calculated classification for each field included in the field group (step S1807). Next, the harvest amount recording apparatus 101 calculates, for each field included in the field group, the ratio of the yield of the specific crop for each calculated classification to the total amount of the yield of the specific crop for each calculated classification. (Step S1808).

  The harvest amount recording apparatus 101 stores the calculation results calculated in steps S1803, S1804, S1806 to S1808 in the harvest amount DB 250 in association with the field names of the respective fields (step S1809), and a series of steps according to this flowchart. The process ends. Thereby, the harvest amount information for each field group can be recorded in the harvest amount DB 250.

  In addition, in addition to the acreage area, the process of apportioning the harvest amount according to the acreage area of each field in step S1803 is changed to apportion the harvest amount using other information associated with each acreage field. You can also For example, if information on the number of planted plants per unit area is stored in association with each field, this information may be used. Even if two fields have the same acreage, if the number of acreage per unit area is different, the yield is likely to be different. Therefore, by considering the amount of crops planted there in addition to the planted area, it is conceivable that the harvest amount for each field obtained as a result of the distribution will be a more probable value.

  For example, let us consider a case where the planted area of the field “Iwata-1” is 20a, the number of planted strains per unit area is 10, the area of the field “Iwata-2” is 30a, and the number of planted strains per unit area is 15. In this case, the acreage area ratio between the field “Iwata-1” and the field “Iwata-2” is 2: 3, and the acreage ratio per unit area is 2: 3. Here, if the number of planted strains per unit area is used with the same weight as the planted area, the yield ratio between the field “Iwata-1” and the field “Iwata-2” is 4 (= 2 × 2): 9 (= 3 × 3), 4 / (4 + 9) of the harvest amount can be used for the field “Iwata-1”, and 9 / (4 + 9) of the harvest amount can be used for the field “Iwata-2”.

  In the above description, the number of planted plants per unit area has been described as an example, but a value that can be considered to be proportional to the amount of crop planted on the field can be used. For example, the number of fruit trees planted in the field, the amount of seeds sown in the field, and the like may be used.

(Procedure-by-field sorting result display processing procedure of harvest amount recording apparatus 101)
Next, the sorting result display processing procedure for each field of the harvest amount recording apparatus 101 will be described.

  FIG. 19 is a flowchart showing an example of the sorting result display processing procedure by field of the harvest amount recording apparatus 101. In the flowchart of FIG. 19, first, the harvest amount recording apparatus 101 determines whether or not designation of a field name of a farm field that is a target for outputting a harvest amount for each specific crop classification is received (step S1901).

  Here, the harvest amount recording apparatus 101 waits to accept designation of the field name (step S1901: No). Then, when receiving the designation of the field name (step S1901: Yes), the harvest amount recording apparatus 101 reads the harvest amount information corresponding to the field name of the designated field from the harvest amount DB 250 (step S1902).

  Next, the harvest amount recording apparatus 101 creates screen information of the field-specific sorting result screen based on the read harvest amount information (step S1903). The harvest amount recording apparatus 101 displays the field-specific sorting result screen on the display 406 by transmitting the screen information of the created field-specific sorting result screen to the client device 201 (step S1904).

  Next, the harvest amount recording apparatus 101 determines whether or not the ratio button on the field-specific sorting result screen has been clicked (step S1905). Here, the harvest amount recording apparatus 101 waits for the ratio button to be clicked (step S1905: No).

  Then, when the ratio button is clicked (step S1905: Yes), the harvest amount recording apparatus 101 creates a pie chart showing the ratio of the harvest amount of a specific crop for each classification produced in the field (step S1906). . Next, the harvest amount recording apparatus 101 pops up and displays a ratio screen including the created pie chart on the display 406 (step S1907), and ends the series of processing according to this flowchart.

  As a result, it is possible to display information related to the harvest amount for each classification of a specific crop produced in the field on the display 406 of the client device 201.

  As described above, according to the harvest amount recording apparatus 101 according to the embodiment, the harvest amount of a specific crop for each classification produced in the field group is determined according to the planting area of each field included in the field group. Can be prorated. Thereby, the rough harvest amount for every classification | category of each field included in a field group can be calculated | required.

  Moreover, according to the harvest amount recording apparatus 101, the harvest amount corresponding to each field after the distribution for each classification is stored in the harvest amount DB 250 in association with the identifier of each field as the output (weight unit or storage unit). can do. Thereby, about the specific crop produced in the field group, the rough harvest amount for every classification | category of each field can be recorded.

  Moreover, according to the harvest amount recording apparatus 101, the total amount of the harvest amount of a specific crop for each classification that is prorated for each field is calculated, and the calculated total amount is used as the total trading volume in association with the field identifier. It can be stored in the quantity DB 250. Thereby, the rough harvest amount for every field can be recorded about the specific crop produced in the field group.

  Moreover, according to the harvest amount recording apparatus 101, the price of the specific crop for each classification is determined for each field based on the unit price of the specific crop for each classification and the yield of the specific crop for each of the allocated classifications. Can be calculated. Thereby, about the specific crop produced in the field group, the rough sales for every classification | category of each field can be estimated.

  Moreover, according to the harvest amount recording apparatus 101, the total value of the prices of specific crops for each field classification can be stored in the harvest amount DB 250 in association with the field identifier as a total price [yen]. . Thereby, about the specific crop produced in the field group, the rough sales for every field can be recorded.

  Moreover, according to the harvest amount recording apparatus 101, the ratio of the harvest amount of the specific crop for each classification distributed for each field to the total amount of the specific crop for each classification allocated to each field is calculated. can do. Thereby, about the specific crop produced in the field group, the ratio of the harvest amount for every classification | category of each field can be calculated | required.

  Further, according to the harvest amount recording apparatus 101, the ratio of the harvest amount of a specific crop for each calculated classification can be stored as a ratio [%] in the harvest amount DB 250 in association with the field identifier. Thereby, the ratio of the harvest amount for every classification | category of each field can be recorded about the specific crop produced by the field group.

  For these reasons, according to the harvest amount recording apparatus 101, even when crops are harvested and selected at the same time in the field, or when crops harvested in the field group are selected together, they are produced in the field group. For a particular crop, it is possible to record the approximate yield for each field classification. Thereby, the user can roughly grasp the information on the balance of each field for the crops produced in the field group, which can be used for reviewing the work in each field and reviewing the planting plan.

  The harvest amount recording method described in the present embodiment can be realized by executing a program prepared in advance on a computer such as a personal computer or a workstation. The harvest amount recording program is recorded on a computer-readable recording medium such as a hard disk, a flexible disk, a CD-ROM, an MO, and a DVD, and is executed by being read from the recording medium by the computer. The harvest amount recording program may be distributed via a network such as the Internet.

  The following additional notes are disclosed with respect to the embodiment described above.

(Supplementary note 1)
Accepting information indicating the amount of the specific crop for each classification, as a result of being classified into a plurality of fields regardless of which field the specific crop produced in each of the plurality of fields,
With reference to the acreage area at the time of cultivation of the specific crop stored in the storage unit for each of the plurality of fields, the amount of the specific crop for each classification is determined for each of the plurality of fields referred to Apportioning according to the planting area, and storing the amount corresponding to each field after the apportionment for each classification in association with the identifier of each field,
A method for recording a yield, comprising performing a process.

(Appendix 2) The process to be stored is
Further, the total amount of the specific crop amount for each classification that is apportioned for each field is calculated, and the calculated total amount is stored as the harvest amount in association with the field identifier. The yield recording method according to appendix 1.

(Supplementary note 3) The price per unit amount differs for each classification,
The storing process is:
Further, a combined value for each field of a price obtained from the price per unit amount for each classification and the amount of the specific crop prorated is stored in association with the field identifier. The yield recording method according to 1 or 2.

(Supplementary note 4)
Further, the ratio of the amount of the specific crop for each classification divided for each field to the total amount of the specific crop for each classification distributed for each field is calculated, and the calculated classification The yield amount recording method according to appendix 1, wherein the ratio of each is stored in association with the field identifier.

(Appendix 5)
Accepting information indicating the amount of the specific crop for each classification, as a result of being classified into a plurality of fields regardless of which field the specific crop produced in each of the plurality of fields,
With reference to the acreage area at the time of cultivation of the specific crop stored in the storage unit for each of the plurality of fields, the amount of the specific crop for each classification is determined for each of the plurality of fields referred to Apportioning according to the planting area, and storing the amount corresponding to each field after the apportionment for each classification in association with the identifier of each field,
A crop recording program characterized by causing processing to be executed.

(Supplementary Note 6) For each of a plurality of fields, a storage unit that stores a planting area at the time of cultivation of a specific crop produced in each of the plurality of fields,
Accepting information indicating the amount of the specific crop for each classification as a result of the classification into a plurality of fields regardless of in which field the specific crop was produced, and storing the specific crop stored in the storage unit With reference to the cropping area at the time of cultivation of the crop, the amount of the specific crop for each classification is apportioned according to the acreage area of each of the plurality of fields referred to, and after the apportionment for each classification A control unit that stores an amount corresponding to each field in association with an identifier of each field;
A yield recording apparatus comprising:

101 Harvest amount recording device 110 Storage unit 200 Agricultural support system 201 Client device 220 Production plan DB
230 Unit Master 240 Crop Unit Price Master 250 Harvest DB
900 Field selection screen 1001 Reception unit 1002 Calculation unit 1003 Output unit 1004 Creation unit 1500 Field-specific sorting result screen

Claims (6)

Computer
Accepting information indicating the amount of the specific crop for each classification, as a result of being classified into a plurality of fields regardless of which field the specific crop produced in each of the plurality of fields,
With reference to the acreage area at the time of cultivation of the specific crop stored in the storage unit for each of the plurality of fields, the amount of the specific crop for each classification is determined for each of the plurality of fields referred to Apportioning according to the planting area, and storing the amount corresponding to each field after the apportionment for each classification in association with the identifier of each field,
A method for recording a yield, comprising performing a process. The storing process is:
Further, the total amount of the specific crop amount for each classification that is apportioned for each field is calculated, and the calculated total amount is stored as the harvest amount in association with the field identifier. The method of recording a yield according to claim 1. The price per unit amount is different for each classification,
The storing process is:
Furthermore, the sum total value for every field of the price calculated | required from the price per unit amount for every said classification and the quantity of the said specific crop divided | segmented is matched and stored with the identifier of the said field. Item 3. A method for recording a yield according to Item 1 or 2. The storing process is:
Further, the ratio of the amount of the specific crop for each classification divided for each field to the total amount of the specific crop for each classification distributed for each field is calculated, and the calculated classification The harvest amount recording method according to claim 1, wherein a ratio for each is stored in association with an identifier of the field. On the computer,
Accepting information indicating the amount of the specific crop for each classification, as a result of being classified into a plurality of fields regardless of which field the specific crop produced in each of the plurality of fields,
With reference to the acreage area at the time of cultivation of the specific crop stored in the storage unit for each of the plurality of fields, the amount of the specific crop for each classification is determined for each of the plurality of fields referred to Apportioning according to the planting area, and storing the amount corresponding to each field after the apportionment for each classification in association with the identifier of each field,
A crop recording program characterized by causing processing to be executed. For each of a plurality of fields, a storage unit that stores a planted area at the time of cultivation of a specific crop produced in each of the plurality of fields,
Accepting information indicating the amount of the specific crop for each classification as a result of the classification into a plurality of fields regardless of in which field the specific crop was produced, and storing the specific crop stored in the storage unit With reference to the cropping area at the time of cultivation of the crop, the amount of the specific crop for each classification is apportioned according to the acreage area of each of the plurality of fields referred to, and after the apportionment for each classification A control unit that stores an amount corresponding to each field in association with an identifier of each field;
A yield recording apparatus comprising:

Images