JP5076801B2 - Cropping simulation program, cropping simulation device, and cropping simulation method - Google Patents

Description

  The present invention relates to a crop simulation program, a crop simulation apparatus, and a crop simulation method for simulating crop cultivation.

  The act of planting the same crop in the same field for several consecutive years is called continuous cropping. If the continuous cropping is continued too much, crop failures such as poor crop growth and reduced yield occur. In order to prevent this continuous cropping failure, planting different crops and turning the field is called rotation, and it is common to avoid continuous cropping failure by performing this cropping.

  The aging management method for cultivated crops in Patent Literature 1 below is a technique for visually displaying on a map a field where proper rotation cultivation is performed or a field where continuous cropping failure may occur. Specifically, display attributes for color-coding the shape, position information, type of cultivated crop, year of cultivation, and type of cultivated crop are registered for each field as field data, and the field to be managed is registered from the map DB. Acquire and display existing map data, acquire field data by specifying an arbitrary area and year, figure representing the field existing in the specified area, and the type of cultivated crop in the specified year section of each field Overlay with colors according to the display attributes and display on the map.

JP 2005-31346 A

  However, the above-described conventional technique of Patent Document 1 distributes a predetermined color for each cultivated crop to the field, manages the layers, and displays several years in an overlapping manner. In this case, the user himself / herself must identify the state in which the superimposed colors occur (such as brightness, saturation, hue, density, etc.) when the continuous cropping failure occurs. Therefore, there is a problem that the presence or absence of continuous cropping failure is erroneously determined.

  For example, depending on the state of the mixed color, even if there is no continuous cropping failure, it is determined that there is a continuous cropping failure. It will be judged that there is nothing.

  Conventionally, crop cultivation requires the use of farmland for the purpose of avoiding obstacles caused by continuous cropping, such as crop rotation and rotation, and maintaining geopower. In paddy fields and field cropping, the rotation system that repeatedly cultivates different types of crops on the same farmland over a certain period of time depends on the experience and intuition of the person in charge. Accordingly, even if the mixed color represented by the prior art of Patent Document 1 described above is seen, the presence or absence of the occurrence of continuous cropping is ambiguous, so that there is a problem that it eventually depends on the experience and intuition of the person in charge.

  In this way, despite the need for farmland-intensive management to increase agricultural productivity, there are concerns that continuous cropping failures will continue in the future because of the rotation system that relies on human experience and intuition. ing.

  In addition, a farmer who owns a plurality of cultivated lands or a vast cultivated land requires a lot of time to decide the cultivation of the cultivated land, and it is difficult to prepare data for making a judgment. Therefore, even if the mixed colors represented by the above-described prior art in Patent Document 1 are viewed, it is unclear whether or not a continuous cropping failure has occurred. Consequently, there is still a problem that it is still difficult to determine farming and maintain data. It was.

  The present invention eliminates the problems caused by the prior art described above, and provides a cropping simulation program, a cropping simulation apparatus, and a cropping simulation capable of presenting highly accurate and efficient continuous cropping fault determination intuitively and easily. It aims to provide a method.

  In order to solve the above-described problems and achieve the object, the cropping simulation program, the cropping simulation apparatus, and the cropping simulation method obtain an arbitrary judgment target year and set the cropping area of the obtained judgment target year. In the specified cropping area, determine the possibility of continuous cropping failure in the area where the same item was cropped from the year to be judged to the year of continuous cropping of the cropped item, and the judgment result is It is a requirement to output.

  In addition, among the cropping areas, continuous cropping failure of the cropping area is possible based on the presence or absence of an overlapping area when the number of consecutive cropping years from the judgment target year to the cropping start year of the cropped item exceeds the continuous cropping limit years Determine gender.

  In addition, when the overlapping area remains when the continuous cropping years exceed the continuous cropping limit years, the overlapping area may be determined as having a continuous cropping failure. Further, a non-overlapping area other than the overlapping area in the cropping area may be determined as a possibility of continuous cropping failure.

  Further, in the non-overlapping area, the area where the continuous cropping years is less than or equal to the continuous cropping years, and the difference between the continuous cropping years and the continuous cropping years is less than or equal to a predetermined number of years, the possibility of continuous cropping failure It may be determined. Furthermore, it is good also as determining the risk of a continuous cropping failure based on the ratio of the said overlapping area | region which exists in the said planting area | region.

  Further, when the overlapping area remains, the overlapping area may be highlighted. Furthermore, when the overlapping area determined to have continuous cropping failure and the overlapping area determined to have the possibility of continuous cropping remain in the overlapping area, the two overlapping areas are highlighted differently from each other. Also good. The overlapping area may be highlighted based on the degree of risk.

  When the overlapping area remains, information for highlighting the overlapping area may be transmitted to the requester of the determination result. Furthermore, when the overlapping area determined to have a continuous cropping failure and the overlapping area determined to have a possibility of a continuous cropping failure remain in the overlapping area, the two overlapping areas are highlighted differently from each other Information may be transmitted to the requester of the determination result. When the overlapping area remains, information for highlighting the overlapping area corresponding to the degree of risk may be transmitted to the requester of the determination result.

  According to this cropping simulation program, cropping simulation device, and cropping simulation method, it is possible to automatically determine the possibility of continuous cropping failure in the cropping area. Moreover, since the possibility of a continuous cropping failure is determined based on the presence or absence of an overlapping region, the size (area) of the overlapping region can be obtained. In addition, by visualizing the presence or absence of continuous cropping failure or its possibility, and the risk level when there is a continuous cropping failure, it is possible to visually classify various judgment results such as the presence of continuous cropping failure, the possibility thereof, and the absence of the possibility. Can do. In addition, in the case of continuous cropping failure, the risk level can be classified visually.

  According to this cropping simulation program, cropping simulation device, and cropping simulation method, it is possible to present a highly accurate continuous cropping failure determination in an intuitive and easy-to-understand manner.

  Exemplary embodiments of a cropping simulation program, a cropping simulation apparatus, and a cropping simulation method will be described below in detail with reference to the accompanying drawings. This embodiment is a technology for managing the cultivation history of cultivated crops using geographic information. From the cultivation history of the field, the next season producers will perform appropriate rotations to prevent the occurrence of continuous cropping failures. It helps to be able to.

  This makes it possible to present an intuitive and easy-to-understand acreage area that takes into account continuous cropping failures in the integrated management of farmland. In addition, as farming forms shift to corporate farms and group management, such planting simulations can be used to avoid obstacles, increase yields, shorten planting decision times, and improve farmland data. Can be achieved. First, an outline of the present embodiment will be described.

  FIG. 1 is an explanatory diagram showing an overview of the cropping simulation process according to the present embodiment. FIG. 1 shows an example of predicting the possibility of consecutive cropping failures in fiscal year 2008 using fiscal year 2008 as the year to be judged for continuous cropping failures with respect to the current year (here, fiscal year 2007). In addition, as an example, the planted item is wheat (indicated simply as “wheat” in FIG. 1), and the continuous cropping age of wheat is 3 years. The maximum number of years of continuous cropping is the number of years in which continuous cropping failure occurs if the cropping time is exceeded.

  First, wheat is planted throughout the field f1 in 2007. Let the wheat cropping area be fb. Since 2008 is a future year, it is assumed here that the same planted items as in 2007 are planted in the same area as fb, and the planted area fa in 2008 is assumed. Then, an overlapping area fab of the planting areas fa and fb is acquired (a point indicated by a white thick arrow in FIG. 1). Since the overlapping region fab exists, it can be seen that wheat is continuously cropped in the same region for 2 consecutive years (2007-2008).

  Next, the planting result of the field f1 in 2006 is called from the geographic database. In the field f1 in 2006, beans and potatoes are planted in addition to wheat. The respective cropping areas are fc (wheat cropping area), fd (beans cropping area), fe (calf cropping area), and ff (beans cropping area).

  And the overlap area | region fabc of the wheat overlap area | region fab of 2007-2008 and the wheat cropping area | region fc of 2006 is acquired (the point which the thick arrow with a hatching shows in FIG. 1). Since the overlapping area | region fabc exists, it turns out that wheat is continuously cropped in the same area | region for 3 consecutive years (2006-2008). In the cropping areas fd, fe, and ff, since the continuous cropping of wheat is stopped, the continuous cropping failure does not occur in 2008.

  Next, the planting result of the field f1 in fiscal year 2005 is called from the geographic database. In the field f1 in 2005, beans and potatoes are planted in addition to wheat. The respective planting areas are defined as fg (rice planting area), fh (barley planting area), and fi (bean planting area).

  Then, an overlap area fabch between the wheat overlap area fabc from 2006 to 2008 and the wheat cropping area fh from 2005 is acquired (the point indicated by the thick black arrow in FIG. 1). Since the overlapping region fabch exists, it can be seen that wheat is continuously cropped in the same region for four consecutive years (2005-2008). In the cropping area fabc, continuous cropping of wheat has stopped, so there will be no continuous cropping failure in FY2008.

  Since the overlapping region fabch has been continuously cropping wheat for four consecutive years and exceeds the maximum cropping years (= 3), it is determined that there is a continuous cropping failure. On the display screen, by highlighting the overlapping area fabch in the field f1, it is possible to intuitively and easily display the occurrence area of the continuous cropping failure.

(Hardware configuration of cropping simulation device)
First, the hardware configuration of the cropping simulation apparatus according to the embodiment of the present invention will be described. FIG. 2 is an explanatory diagram showing a hardware configuration of the planting simulation apparatus according to the embodiment of the present invention.

  In FIG. 2, the cropping simulation apparatus 200 includes a computer main body 210, an input apparatus 220, and an output apparatus 230, and a network 240 such as a LAN, WAN, or the Internet via a router or a modem (not shown). Can be connected to.

  The computer main body 210 has a CPU, a memory, and an interface. The CPU controls the entire cropping simulation apparatus 200. The memory is composed of ROM, RAM, HD, optical disk 211, and flash memory. The memory is used as a work area for the CPU.

  Various programs are stored in the memory, and loaded according to instructions from the CPU. Data read / write of the HD and the optical disk 211 is controlled by a disk drive. The optical disk 211 and the flash memory are detachable from the computer main body 210. The interface controls input from the input device 220, output to the output device 230, and transmission / reception with respect to the network 240.

  The input device 220 includes a keyboard 221, a mouse 222, a scanner 223, and the like. The keyboard 221 includes keys for inputting characters, numbers, various instructions, and the like, and inputs data. Further, it may be a touch panel type. The mouse 222 performs cursor movement, range selection, window movement, size change, and the like. The scanner 223 optically reads an image. The read image is captured as image data and stored in a memory in the computer main body 210. Note that the scanner 223 may have an OCR function.

  Examples of the output device 230 include a display 231, a speaker 232, and a printer 233. The display 231 displays data such as a document, an image, and function information as well as a cursor, an icon, or a tool box. The speaker 232 outputs sounds such as sound effects and reading sounds. The printer 233 prints image data and document data.

(Contents stored in various tables)
FIG. 3 is an explanatory diagram showing the stored contents of the cropping table 300. The planting table 300 shows a SEQ number, a year, a region ID, a village, a farmer, a planted area, a continuous cropping failure (the current year), and a continuous cropping failure (the year following the current year) for each cropping region where the cropping item is planted on the field. Hold.

  The SEQ number is a unique number given to each planting area. Even in the same area, the SEQ number will be different if the year is different. The year is the planting year of the planting area. The area ID is unique identification information for specifying the planting area, and is composed of a field number and a branch number. The field number is the number of the field including the planting area. A branch number is a number in a field. Since there are cases where a plurality of planting areas exist in the field, they are distinguished by this branch number. A village is a village that manages a planted area, and a farmer is an administrator or owner of the planted area.

  The planted area is the area of the planted area. The coordinate data of the planting area will be described in an element information table described later. The continuous cropping failure (the current year) includes an item to be determined for the continuous cropping failure in the current year (or the year in the case of a planting area in the 2004 fiscal year) and its failure level. An item is a planted item in the planting area. The failure level is information indicating how much a region in which continuous cropping failure has occurred is included in the cropping region to be determined.

  Here, it is represented by numerical values from −1 to 3. For example, “-1” is not determined, “0” is no cropping area that causes continuous cropping failure, “1” is less than half the area of the judgment target cropping region, In the case of “2”, the cropping area that causes the continuous cropping failure is not less than half the area of the judgment target cropping area, and in the case of “3”, the cropping area that causes the continuous cropping fault has the same area as the area of the judgment target cropping area. Is shown.

  Similarly, the continuous cropping failure (the year following the current year) refers to the item that is subject to continuous cropping failure determination in the year following the current year (or the following year (2005) if the planting area is in 2004). It consists of levels. An item is a planted item in the planting area. The failure level is information indicating how many consecutive cropping failure areas are included in the cropping area to be determined, and is the same as the continuous cropping failure (the current year).

  In other words, continuous cropping failure (the current year) is information indicating the continuous cropping failure for the year, and continuous cropping failure (the year following the current year) is information on the state of continuous cropping when the same item is planted in the following year. Information. Therefore, when the current year is the current year (in this case, 2007), the continuous cropping failure (the year following the current year) is information representing the occurrence prediction of the continuous cropping failure in 2008.

  Moreover, when the said year is a past year (here, 2004-2006), the continuous crop disorder (the said year) of the following year is obtained. The next year's continuous cropping failure (current year) is known information in the current year, but by changing the item to make the planted item the same year and the following year the same year, It was possible to obtain results such as “It was no problem to continue cropping with cropped items” and “Changing cropped items in the next year of that year was correct.” Can be confirmed.

FIG. 4 is an explanatory diagram showing the stored contents of the element information table 400. The element information table 400 holds the lower left coordinate LL, the upper right coordinate UR, and the graphic layer of the planting area for each SEQ number described above. The planting area exists in a rectangle specified by the lower left coordinate LL and the upper right coordinate UR. The graphic layer is a layer having graphic data of all fields, and exists every year. Note that L ₂₀₀₇ is a 2007 graphic layer. The graphic layer is stored in the storage unit described above.

  FIG. 5 is an explanatory diagram showing a specific example of the planting area. In FIG. 5, LL is the lower left coordinate, and UR is the upper right coordinate. It can be seen that the area 500 includes planted areas 501 and 502.

  FIG. 6 is an explanatory diagram showing the contents stored in the continuous production failure master 600. The continuous cropping failure master 600 holds the continuous cropping limit years for each cropping item (simply “item” in FIG. 6). The maximum number of years of continuous cropping is the number of years in which continuous cropping failure occurs if the cropping time is exceeded. For example, since the continuous cropping years for wheat are “3”, cropping failure occurs when cropping in the same area for four consecutive years.

(Various screen examples)
FIG. 7 is an explanatory diagram showing a year designation screen. When the planting simulation program is activated, a year designation screen 700 is displayed on the computer display screen. In the input field 701, the current or past year is entered. The computer determines the continuous cropping failure with the year following the designated year as the year to be judged. For example, when “2007” is input, the continuous cropping failure in 2008 is determined. In addition, when the continuous cropping failure in the designated year has not been determined, the continuous cropping failure can also be determined using the designated year as the determination target year. When the OK button 702 is clicked, the map screen shown in FIG. 8 is displayed.

  FIG. 8 is an explanatory diagram showing a map screen. In the map screen 800, the screen 801 is a map screen for a specified year, and the screen 802 is a map screen for the next year. The map screen 800 in FIG. 8 shows a state where the determination result of the continuous cropping failure is not displayed in the designated year and the following year. When the search button 803 is clicked in this state, a search screen shown in FIG. 9 is displayed.

  FIG. 9 is an explanatory diagram showing a search screen. A search screen 900 shown in FIG. 9 is a screen for designating a search condition for narrowing down the cropping area that is a target of continuous cropping failure determination. As a search type, “character (bruise)”, “cultivator”, “item”, and “other” can be selected. In “Others”, the latest date (for example, the latest 5 days) and the field number can be specified as conditions. FIG. 10 is an explanatory diagram showing a search screen 900 when “item” is selected from the state of FIG. Then, in FIG. 9 or FIG. 10, when the search execution button 901 is clicked, the continuous cropping failure is determined according to the search condition.

  FIG. 11 is an explanatory diagram showing the map screen 800 after the continuous cropping failure determination process is executed. In both screens 801 and 802, the cropped area highlighted in color is an area determined to have a continuous cropping failure. By referring to the failure level of the cropping table 300 according to the type of color to be highlighted, it can be seen how much the region determined to have continuous cropping failure is included in the cropping region.

  Further, in FIG. 11, not only a map but also a list of ledgers of cropping areas corresponding to search conditions is displayed. Information corresponding to the cropping table 300 is displayed in the ledger list for each cropping area. In the ledger list, a history display button 1101 is displayed for a record in which a past history exists. By clicking this history display button 1101, the past cropping history of the cropping area corresponding to the record can be displayed in the past cropping history 1102. FIG. 12 is an explanatory diagram showing a display example of the past cropping history 1102.

(Functional configuration of cropping simulator)
Next, a functional configuration of the cropping simulation apparatus 200 will be described. FIG. 13 is a block diagram showing a functional configuration of the cropping simulation apparatus 200. In FIG. 13, the cropping simulation apparatus 200 includes an acquisition unit 1301, a specification unit 1302, a determination unit 1303, and an output unit 1304. Each of these functions 1301 to 1304 is realized by causing the CPU to execute a program related to the functions 1301 to 1304 stored in the storage unit of the cropping simulation apparatus 200 or by using an input / output I / F. Can do.

  Output data from each function 1301 to 1304 is held in the storage unit described with reference to FIG. The connection destination function indicated by the arrow in FIG. 13 reads output data from the connection source function from the storage unit and causes the CPU to execute a program related to the function.

  First, the acquisition unit 1301 has a function of acquiring an arbitrary determination target year. The year to be judged is the year to be judged for continuous cropping disorders. For example, the year following the designated year in the input field 701 shown in FIG. Moreover, when the continuous cropping failure in the designated year has not been judged, the designated year can also be a judgment target year.

  In addition, when the cropping simulation apparatus 200 is a stand-alone type, the cropping simulation apparatus 200 acquires a determination target year by receiving an input of a designated year. Further, in the case of the server & client type, the cropping simulation apparatus 200 serves as a server, and therefore, the designated year is received from the client, and the cropping simulation apparatus 200 acquires the determination target year.

  The specifying unit 1302 has a function of specifying the planting area of the determination target year acquired by the acquiring unit 1301. Specifically, for example, the planting area corresponding to the designated year input in FIG. 7 is specified. If there are many fields to be identified in the designated year alone, as shown in FIG. 9 or FIG. 10, the search conditions such as “character (bruise)”, “cultivator”, “item”, “other”, etc. You can also narrow down.

  Further, the determination unit 1303 has a function of determining the possibility of continuous cropping failure in the cropping area based on the cropping item in the cropping area specified by the specifying unit 1302 and the maximum cropping years of the cropping item. Specifically, for example, the possibility of continuous cropping failure in the cropping area is determined based on the overlapping area of the cropping area from the determination target year to the continuous cropping start year of the cropped item.

  Here, the continuous cropping start year is a year when cropping of cropped items in the cropping area is started. For example, when the planting item is wheat, the maximum number of consecutive cropping years is 3 years (see FIG. 6). Therefore, the determination unit 1303 determines that the cropping area has a continuous cropping failure when the period from the continuous cropping start year to the determination target year exceeds three years.

  In addition, the area and position of the field (or the planting area in the field) and the items to be planted vary from year to year. Therefore, it is preferable to determine the possibility of continuous cropping failure in the cropping area based on the presence or absence of overlapping areas when the number of consecutive cropping years from the year to be judged to the continuous cropping start year of cropped items exceeds the maximum cropping year. .

  For example, when the overlapping area remains when the continuous cropping years exceed the continuous cropping limit years, the overlapping area may be determined as having a continuous cropping failure. Moreover, it is good also as determining with the possibility of a continuous cropping failure about non-overlapping area | regions other than an overlapping area | region among planting areas.

  However, in this case, if it is determined that there is an unlimited possibility of a continuous cropping failure, a non-overlapping area that has never been continuously cropped may be determined to have a possibility of a continuous cropping failure. It is preferable to determine that there is a possibility of continuous cropping failure in a region where the difference between the continuous cropping years and the continuous cropping years is less than or equal to a predetermined number of years.

  For example, when the predetermined number of years is 0, it is determined that there is a possibility of continuous cropping failure when the number of continuous cropping years = the maximum number of continuous cropping years. Thus, it is preferable that there is a possibility of continuous cropping failure when the continuous cropping years are the same as or close to the continuous cropping limit years. In this case, an alert display such as “There will be a continuous cropping failure in another ○ year” may be displayed by the output unit 1304 described later.

  Further, the determination unit 1303 may determine the risk of continuous cropping failure based on the ratio of overlapping regions existing in the planting region. The risk of continuous cropping failure is a failure level (see FIG. 3) in a planting area determined to have continuous cropping failure. Specifically, the degree of risk is determined step by step based on the area of the overlapping region in the planting region. For example, as shown in FIG. 3, the failure level that is the degree of danger is determined step by step with a numerical value from −1 to 3.

  The output unit 1304 has a function of outputting the determination result determined by the determination unit 1303. Output formats include screen display, print output by a printer, reading by voice, storage in an internal storage device, transmission to an external computer, and the like.

  Here, the determination result is the presence / absence of the continuous cropping failure in the cropping area specified by the specifying unit 1302, the presence / absence of the possibility of the continuous cropping failure, and the risk in the case of the continuous cropping failure. The determination result may be output as character information or may be output as map information. When outputting as map information, it is good also as highlighting by coloring etc. in order to distinguish an overlapping area from other areas. Thereby, the user can recognize the area | region with a continuous cropping fault intuitively and intelligibly.

  In particular, in the case of the server & client type, information for highlighting the overlapping area may be transmitted to the client that is the request source of the determination result. The client displays the received information with a browser. Thereby, the user of the client can recognize the area | region with a continuous cropping fault intuitively and intelligibly.

  In addition, when an overlapping area determined to have continuous cropping failure and an overlapping area determined to have the possibility of continuous cropping remain, highlight the two overlapping areas by color-coding them differently. It is good. Thus, the user can intuitively and easily recognize the difference between the overlapping area with continuous cropping failure and the overlapping area with the possibility of continuous cropping failure.

  In particular, in the case of the server & client type, a request for the determination result is used to highlight the overlap area determined to have the consecutive failure and the overlap area determined to have the possibility of the consecutive failure to be different from each other. It may be transmitted to the original client. The client displays the received information with a browser. As a result, the client user can intuitively and easily recognize the difference between the overlapping area with continuous cropping failure and the overlapping area with the possibility of continuous cropping failure.

  Further, when there is a continuous cropping failure, the overlapping area may be highlighted by color coding according to the risk level. As a result, the user can intuitively and easily recognize how dangerous the area is.

  In particular, in the case of the server & client type, information for highlighting the overlapping area according to the degree of risk may be transmitted to the client that is the request source of the determination result. The client displays the received information with a browser. Thereby, the client user can intuitively and easily recognize how dangerous the area is.

(Specific example of continuous cropping failure determination)
Next, a specific example of continuous cropping failure determination will be described. Here, a case where “2007” is entered in the input field 701 of the year designation screen 700 of FIG. 7, that is, a case where the designated year is 2007 will be described. That is, this is an example of predicting an unknown continuous cropping failure in 2008. Here, the continuous cropping failure (undecided) in 2007 compared with the judgment result in 2008 is also judged.

  FIGS. 14A to 14C are explanatory diagrams illustrating continuous cropping failure determination in 2007. FIG. In addition, the figure layer of each year is the same as the figure layer of FIG. In FIGS. 14A to 14C, the cropping area fb is a determination target. In FIG. 14A, continuous cropping failure determinations in 2007 and 2006 are shown. That is, the overlapping region of wheat is determined between the planting region fb of the field f1 in 2007 and the planting regions fd, fe, ff of the field f1 in 2006. In FIG. 14A, an overlapping region fabc is obtained.

  Moreover, in FIG. 14-2, the continuous cropping failure determination of the 2007-2005 year is shown. That is, the overlapping region of wheat is determined between the overlapping region fabc obtained in FIG. 14-1 and the planting regions fg, fi, fh of the field f1 in 2005. In FIG. 14-2, the overlapping region fabch is obtained.

  Moreover, in FIG. 14-3, the continuous cropping failure determination of 2007-2004 is shown. That is, the wheat overlapping area between the overlapping area fabch obtained in FIG. 14-2 and the cropping areas fj and fk of the field f1 in 2004 is determined. In FIG. 14-3, there is no overlapping area and the continuous cropping fault is cleared. Therefore, it can be seen that no continuous cropping failure occurred in the wheat cropping area fb in 2007.

  FIGS. 15A to 15C are explanatory diagrams illustrating the continuous cropping failure determination in 2008. FIG. In addition, the figure layer of each year is the same as the figure layer of FIG. In FIG. 15A, continuous cropping failure determinations in 2008 and 2007 are shown. Since the year 2008 is a future year, the wheat cropping area fb of 2007 is copied and the copy is set in the wheat cropping area fa of 2008. In FIGS. 15A to 15C, the cropping area fa is a determination target. Since the planting area fa is a copy of the planting area fb, the same planting area fab as the planting area fb is obtained as an overlapping area.

  In FIG. 15-2, continuous cropping failure determinations from 2008 to 2006 are shown. That is, the overlapping region of wheat is determined between the overlapping region fab obtained in FIG. 15-1 and the planting regions fd, fe, and ff of the field f1 in 2006. In FIG. 15-2, the overlapping region fabc is obtained.

  Moreover, in FIG. 15-3, the continuous cropping failure determination of 2008-2005 is shown. That is, the overlapping region of wheat is determined between the overlapping region fabc obtained in FIG. 15-2 and the planting regions fg, fi, and fh of the field f1 in 2005. In FIG. 15C, the overlapping area fabch is obtained. Therefore, it is possible to obtain a prediction result that continuous cropping failure occurs when barley is planted in the barley cropping area fb. The map 801 of the map screen 800 shown in FIG. 11 displays a map equivalent to the content shown in FIG. 14-3, and the screen 802 displays a map equivalent to the content shown in FIG. 15-3. States can be contrasted.

(Cropping simulation processing procedure)
Next, the planting simulation processing procedure according to this embodiment will be described. FIG. 16 is a flowchart showing the planting simulation processing procedure according to the present embodiment. In FIG. 16, when the cropping simulation program is started, the year designation screen 700 shown in FIG. 7 is displayed. The system waits until the designated year yd is entered in the entry field of the year designation screen 700 (step S1601: No).

  When the designated year yd is input (step S1601: Yes), the search screen is activated (step S1602). Then, it waits for the search condition to be specified (step S1603: No), and when the search condition is specified (step S1603: Yes), the SEQ number matching or related to the search condition is searched from the planting table 300 (step). S1604).

  Thereafter, the designated year yd is set as the determination target year y (step S1605), and it is determined whether or not there is a failure undecided SEQ number in the retrieved SEQ numbers (step S1606). When there is an undetermined SEQ number (step S1606: Yes), one undetermined SEQ number is selected (step S1607), and the planting area specifying process (step S1608) and the failure determination process (step S1609) are executed. Return to step S1606.

  On the other hand, if there is no undetermined SEQ number in step S1606 (step S1606: No), it is determined whether or not the failure determination for the year following the specified year yd (yd + 1) has been executed (step S1610). If not executed (step S1610: No), the determination target year y is set from the specified year yd to yd + 1 (step S1611), and the process returns to step S1606. On the other hand, if it has been executed (step S1610: Yes), a series of processing ends.

  FIG. 17 is a flowchart of the planting area specifying process (step S1608). First, using the SEQ number selected in step S1607 as a clue, the coordinate value is acquired from the element information table 400 (step S1701). Next, a figure (partially protruding) included in the area specified by the acquired coordinate value is extracted from the figure layer of the determination target year y (step S1702). Then, it is determined whether or not all the extracted figures have been processed (step S1703).

  If not all have been processed (step S1703: No), an unprocessed graphic is selected from the extracted graphics (step S1704), and it is determined whether the SEQ numbers match (step S1705). If they do not match (step S1705: NO), the process returns to step S1703.

  On the other hand, if they match (step S1705: YES), the matched SEQ number is held as the determination target SEQ number (step S1706), and the process returns to step S1703. The planted area with the held SEQ number is the planted area to be determined. If all the extracted figures have been processed in step S1703 (step S1703: Yes), the item of the determination target SEQ number in the determination target year y is specified (step S1707), and the continuous cropping limit year n of the item is set as the continuous cropping failure master. 600 (step S1708). Thereafter, the planting area of the determination target year y is specified by the determination target SEQ number and the item (step S1709), and the process proceeds to the failure determination process (step S1609).

  18 and 19 are flowcharts of the failure determination process (step S1609). In FIG. 18, first, the planting area of the designated year yd is set as the planting area Da of the determination target year y (step S1801). That is, when the determination target year y is the designated year yd (y = yd), the planting area is set as the planting area Da of the determination target year y. When the determination target year y is the next year yd + 1 of the designated year yd, the planting area of the next year yd + 1 is set as the planting area Da of the determination target year y.

  If the designated year yd is the current year (for example, 2007) and the determination year y is set to yd + 1 in step S1611 described above, the next year yd + 1 is a future year, so there is a planting area. do not do. In this case, the planting area of the designated year yd is copied as the planting area of the next year yd + 1, and the copied planting area is set as the planting area Da of the determination target year y (= yd + 1).

Thereafter, the index i of the continuous production limit years n is set to i = 1 (step S1802), and the graphic layer L _yi for (y−i) is obtained (step S1803). Then, it is determined whether or not all the cropping areas Da have been processed (step S1804). When all the cropping areas Da have not been processed (step S1804: No), an unprocessed cropping area Da is selected (step S1805). Then, the cropping area Db in the same area as the selected cropping area Da is extracted from the graphic layer L _yi (step S1806).

  Thereafter, it is determined whether or not all the extracted cropping areas Db have been processed (step S1807). If not all are processed (step S1807: No), an unprocessed cropping area Db is selected (step S1808). Then, the overlapping area Dw of the cropping areas Da and Db is specified (step S1809), the overlapping figure Dw is stored in a predetermined storage area (step S1810), and the process returns to step S1807.

  On the other hand, when all the planting areas Db have been processed in step S1807 (step S1807: Yes), the process returns to step S1804. On the other hand, when all the planting areas Da have been processed in step S1804 (step S1804: Yes), it is determined whether i> n is satisfied (step S1811). If i> n is not satisfied (step S1811: NO), i is incremented (step S1812), the stored overlapping area Dw is set as the cropping area Da (step S1813), and the process returns to step S1803.

  On the other hand, if i> n is satisfied in step S1811 (step S1811: Yes), the area counting process of the remaining overlapping area Dw shown in FIG. 19 is executed (step S1901). Then, it is determined whether or not the area S of the remaining overlapping region Dw is S = 0 (step S1902). When S = 0 (step S1902: Yes), the failure level is determined to be level 0 (step S1903), and the process proceeds to step S1909.

On the other hand, if S = 0 is not satisfied (step S1902: NO), it is determined whether S <S _Da / 2 is satisfied (step S1904). S _Da is the area of the cropping area Da set in step S1801, that is, the area of the cropping area to be determined. When S <S _Da / 2 (step S1904: Yes), the failure level is determined to be level 1 (step S1905), and the process proceeds to step S1909.

On the other hand, if S <S _Da / 2 is not satisfied (step S1904: No), it is determined whether or not S <S _Da (step S1906). When S <S _Da (step S1906: Yes), the failure level is determined to be level 2 (step S1907), and the process proceeds to step S1909. On the other hand, if S <S _Da is not satisfied (step S1906: NO), the failure level is determined to be level 3 (step S1908), and the process proceeds to step S1909.

  In step S1909, the planting table 300 is updated by writing the determined level in the planting table 300. Then, these failure determination results are displayed on the screen as shown in FIG. 11 (step S1910). In the case of the server & client type, the failure determination result is transmitted to the client. Thereafter, the process returns to step S1606.

  As described above, in the above-described embodiment, the cropping area is polygonized to manage the position coordinates, and the annual cropping information is recorded for each cropping area so that the cultivation history of the cropping area can be searched.

  Also, since the position of the selected area or planting area does not necessarily match the past planting area and planting area that existed at that position, a polygon comparison between the selected planting area and the past planting area is performed. The cultivation history of cultivated crops within the range is searched and whether or not a continuous cropping failure occurs is simulated. Thereby, it is possible to highlight the farmland exceeding the limit of continuous cropping failure in the planting area.

  As described above, in the present embodiment, conventionally, it has been necessary for the user to determine the continuous cropping failure by looking at the cropped areas that are colored and superimposed for each type of cultivated crop, but a continuous cropping failure has occurred. This has the effect of instantly identifying areas that are likely to be. As a result, it is possible to avoid the occurrence of obstacles, increase yield, shorten the time for determining cropping, and facilitate the maintenance of farmland data.

  The cropping simulation method described in this embodiment can be realized by executing a program prepared in advance on a computer such as a personal computer or a workstation. This 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 program may be a transmission medium that can be distributed via a network such as the Internet. The following additional notes are disclosed with respect to the embodiment described above.

(Appendix 1) A computer capable of accessing storage means for storing planted items for each fiscal year and planted areas of the planted items,
An acquisition means for acquiring an arbitrary year to be judged,
A specifying means for specifying the planting area of the determination target year acquired by the acquiring means;
Referring to the storage means, within the cropping area specified by the specifying means, an area in which the same item from the year to be judged until the start of continuous cropping of the cropped item is cropped may be a continuous cropping failure. Determination means for determining presence,
Output means for outputting the determination result determined by the determination means;
A cropping simulation program characterized by functioning as

(Additional remark 2) The said computer is further accessible to the continuous cropping limit memory | storage means which memorize | stores the continuous cropping limit years per planted item unit,
The determination means includes
With reference to the continuous cropping limit storage means, based on the presence or absence of an overlapping region when the continuous cropping years from the judgment target year to the continuous cropping start year of the cropped item exceed the continuous cropping limit year, among the cropping regions, The cropping simulation program according to appendix 1, wherein the possibility of continuous cropping failure in the cropping area is determined.

(Supplementary Note 3) The determination means includes
The cropping simulation program according to appendix 2, wherein if the overlapping area remains when the continuous cropping years exceed the continuous cropping limit years, the overlapping area is determined to have a continuous cropping failure.

(Supplementary Note 4)
The cropping simulation program according to appendix 3, wherein a non-overlapping region other than the overlapping region is determined as a possibility of continuous cropping failure in the cropping region.

(Supplementary Note 5) The determination means includes:
Among the non-overlapping areas, an area in which the continuous cropping years are less than or equal to the continuous cropping years and the difference between the continuous cropping years and the continuous cropping years is less than or equal to a predetermined number of years is determined as the possibility of continuous cropping failure. The cropping simulation program according to appendix 4, characterized by:

(Appendix 6) The determination means includes
Among the cropping areas, the overlapping area in which the continuous cropping years are less than or equal to the continuous cropping years and the difference between the continuous cropping years and the continuous cropping years is less than or equal to a predetermined number of years is determined as a possibility of continuous cropping failure. The cropping simulation program according to appendix 2, characterized by:

(Appendix 7) The determination means includes
The cropping simulation program according to any one of appendices 2 to 6, wherein the risk of continuous cropping failure is determined based on a ratio of the overlapping region existing in the cropping region.

(Appendix 8) The output means includes:
The cropping simulation program according to any one of appendices 2 to 7, wherein when the overlapping area remains, the overlapping area is highlighted.

(Supplementary note 9) The output means includes:
When the overlapping area determined to have continuous cropping failure and the overlapping area determined to have the possibility of continuous cropping remain in the overlapping area, the two overlapping areas are highlighted differently from each other, The cropping simulation program according to any one of appendices 2 to 7.

(Supplementary Note 10) The output means includes
The cropping simulation program according to appendix 7, wherein the overlapping area is highlighted based on the degree of risk determined by the determination means.

(Supplementary Note 11) The output means includes:
The cropping simulation program according to any one of appendices 2 to 7, wherein when the overlapping area remains, information for highlighting the overlapping area is transmitted to the requester of the determination result. .

(Supplementary Note 12) The output means includes:
When the overlapping area determined to have continuous cropping failure and the overlapping area determined to have the possibility of continuous cropping failure remain in the overlapping area, information for highlighting the two overlapping areas differently from each other The cropping simulation program according to any one of appendices 2 to 7, wherein the simulation program is transmitted to a requester of the determination result.

(Supplementary note 13) The output means includes:
The supplementary note 7 is characterized in that, when the overlapping area remains, information for highlighting the overlapping area corresponding to the degree of risk determined by the determination means is transmitted to the requester of the determination result. Planting simulation program.

(Supplementary Note 14) Acquisition means for acquiring an arbitrary determination target year;
A specifying means for specifying the planting area of the determination target year acquired by the acquiring means;
Determining means for determining the possibility of continuous cropping failure in the cropping area based on the cropped item in the cropping area specified by the specifying means and the continuous cropping limit years of the cropped item;
Output means for outputting the determination result determined by the determination means;
A planting simulation apparatus comprising:

(Supplementary Note 15) An acquisition step of acquiring an arbitrary year to be judged;
A specific step of identifying the planting area of the determination target year acquired by the acquisition step;
A determination step of determining the possibility of continuous cropping failure in the cropping area based on the cropping item in the cropping area specified by the specifying step and the continuous cropping years of the cropping item;
An output step for outputting the determination result determined by the determination step;
A planting simulation method characterized by including

It is explanatory drawing which shows the outline | summary of the planting simulation process concerning this Embodiment. It is explanatory drawing which shows the hardware constitutions of the planting simulation apparatus concerning embodiment of this invention. It is explanatory drawing which shows the memory content of the planting table. 5 is an explanatory diagram showing storage contents of an element information table 400. FIG. It is explanatory drawing which shows the specific example of a planting area | region. It is explanatory drawing which shows the memory content of the continuous production failure master. It is explanatory drawing which shows a year designation | designated screen. It is explanatory drawing which shows a map screen. It is explanatory drawing which shows a search screen. FIG. 10 is an explanatory diagram showing a search screen 900 when “item” is selected from the state of FIG. 9. It is explanatory drawing which shows the map screen 800 after execution of a continuous cropping failure determination process. It is explanatory drawing which shows the example of a display of the past cropping log | history 1102. 3 is a block diagram showing a functional configuration of a planting simulation apparatus 200. FIG. It is explanatory drawing (the 1) which shows the continuous cropping failure determination of 2007. It is explanatory drawing (the 2) which shows the continuous cropping failure determination of 2007. It is explanatory drawing (the 3) which shows the continuous cropping failure determination of 2007. It is explanatory drawing (the 1) which shows the continuous cropping failure determination of 2008. It is explanatory drawing (the 2) which shows the continuous cropping failure determination of 2008. It is explanatory drawing (the 3) which shows the continuous cropping failure determination of 2008. It is a flowchart which shows the planting simulation processing procedure concerning this Embodiment. It is a flowchart of a planting area specifying process (step S1608). It is a flowchart (first half) of a failure determination process (step S1609). It is a flowchart (second half) of a failure determination process (step S1609).

Explanation of symbols

200 cropping simulation device 300 cropping table 400 element information table 600 continuous cropping failure master 1301 acquisition unit 1302 identification unit 1303 determination unit 1304 output unit

Claims (7)

To a computer accessible to storage means for storing the planted items for each year and the planted area of the planted items,
Get any year to be judged,
Referring to the storage means, specify the planted area of the acquired year for determination,
With reference to the storage means, if the year to be judged is the current year, a copy of the planting area is set as a planting area in the year following the year to be judged, and the judgment is made within the planting area in the next year. It is determined that there is a possibility of continuous cropping failure in the area where the same item was planted in duplicate from the year following the target year to the year of continuous cropping of the cropped item,
Output the judgment result,
A cropping simulation program characterized by causing processing to be executed. The computer is further accessible to continuous cropping limit storage means for storing a continuous cropping limit year for each planted item,
The determination process is as follows.
With reference to the continuous cropping limit storage means, based on the presence or absence of an overlapping area when the continuous cropping period from the year following the year to be judged to the continuous cropping start year of the cropped item exceeds the continuous cropping limit year in the cropping area Te, planting simulation program according to claim 1, characterized in that to determine the likelihood of injury by continuous cropping of the crop region. The determination process is as follows.
3. The cropping simulation program according to claim 2 , wherein if the overlapping area remains when the continuous cropping year exceeds the continuous cropping limit years, the overlapping area is determined to have a continuous cropping failure. The determination process is as follows.
4. The cropping simulation program according to claim 3 , wherein a non-overlapping area other than the overlapping area is determined as a possibility of continuous cropping failure in the cropping area. The determination process is as follows.
Among the non-overlapping areas, an area in which the continuous cropping years are less than or equal to the continuous cropping years and the difference between the continuous cropping years and the continuous cropping years is less than or equal to a predetermined number of years is determined as the possibility of continuous cropping failure. The cropping simulation program according to claim 4 , wherein: Storage means for storing planted items and planted areas of the planted items for each year;
Acquisition means for acquiring an arbitrary year to be judged;
A specifying unit that refers to the storage unit and specifies the planting area of the determination target year acquired by the acquiring unit;
With reference to the storage means, if the year to be judged is the current year, a copy of the planting area is set as a planting area in the year following the year to be judged, and the judgment is made within the planting area in the next year. A determination means for determining that there is a possibility of continuous cropping in an area in which the same item from the next year of the target year to the year of continuous cropping of the cropped item is planted in duplicate,
Output means for outputting the determination result determined by the determination means;
A planting simulation apparatus characterized by comprising: A computer capable of accessing storage means for storing planted items for each fiscal year and planted areas of the planted items;
Get any year to be judged,
Referring to the storage means, specify the planted area of the acquired year for determination,
With reference to the storage means, if the year to be judged is the current year, a copy of the planting area is set as a planting area in the year following the year to be judged, and the judgment is made within the planting area in the next year. It is determined that there is a possibility of continuous cropping failure in the area where the same item was planted in duplicate from the year following the target year until the continuous cropping start year of the cropped item,
Output the judgment result,
A cropping simulation method characterized by executing processing.

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