JP2018005467A - Farmwork plan support device and farmwork plan support method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To estimate transition in work propriety of farmwork in a management farm field.SOLUTION: A farmwork plan support device which supports generation of a plan for farmwork in a management farm field is configured to: hold feature quantity information representing correspondence of an image feature quantity and a state of a farm field, an image feature quantity of the management farm field, and work propriety information representing correspondence between a combination of work details of farmwork and the state of the farm field and a work propriety curve indicating transition in work propriety; receive input of work details of farmwork; compare an image feature quantity that the feature quantity information represents with an image feature quantity of the management farm field to estimate a state of the management farm field; determine a work propriety curve corresponding to a combination of the input work details and the estimated state with reference to the work propriety information; and output the transition that the determined work propriety curve shows to a display device.SELECTED DRAWING: Figure 1

Description

  The present invention relates to a farm work plan support apparatus and a farm work plan support method.

  As a background art in this technical field, there is JP-A-2007-310463 (Patent Document 1). According to this publication, “first step for recognizing the growth state of a crop variety on the management target field based on the wavelength component of the satellite image data obtained by photographing the area including the management target field and the growth state of the crop variety” It is searched from the database storing the work conditions and the work contents whether the work conditions corresponding to the growing state of the crop varieties recognized in the first step are stored. The work contents stored in association with each other are read out, and the second step of outputting the work contents for each management target field is executed to support the farm work in the management target field (see summary). .

JP 2007-310463 A

  The technique described in Patent Document 1 estimates an appropriate timing for performing farm work, but does not provide information on loss or the like when the farm work is performed at times other than the appropriate timing. For example, the farm work cannot always be performed at the appropriate timing due to the limitation of the resource or the like for performing the farm work.

  Therefore, the technique described in Patent Literature 1 cannot support generation of a farm work plan when farm work cannot be executed at the appropriate timing. In view of the above, an object of one embodiment of the present invention is to estimate the transition of the work suitability of farm work in a management field.

  In order to solve the above problems, one embodiment of the present invention employs the following configuration. A farm work plan support apparatus that supports generation of a farm work plan in a management field, including a processor and a storage device, wherein the storage device includes feature amount information indicating a correspondence between an image feature amount and a state of the field, and The processor stores image suitability information indicating the correspondence between the image feature amount of the managed field, the combination of the work contents and the state of the farm work, and the work suitability curve indicating the transition of the work suitability, and the processor Then, a work suitability level estimation process is executed for the management field, and in the work suitability level estimation process, an input of the work content of farm work is received, and an image feature value indicated by the feature value information and an image feature value of the management field And the state of the management field is estimated, the work suitability corresponding to the combination of the work content that has received the input and the estimated state with reference to the work suitability level information To determine the curve, the transition indicated by the work adequacy curve with the determined, to output to the display device, farm work plan support device.

  According to one aspect of the present invention, it is possible to estimate the transition of the work suitability of farm work in a managed farm field. Problems, configurations, and effects other than those described above will be clarified by the following description of embodiments.

It is a block diagram which shows the structural example of the farm work plan assistance system in Example 1. FIG. It is an example of management field DB in Example 1. FIG. It is an example of map DB in Example 1. FIG. It is an example of agricultural work DB in Example 1. FIG. 4 is an example of a resource DB in the first embodiment. 3 is an example of a weather DB in the first embodiment. 3 is an example of an aerial image DB in Embodiment 1. FIG. 3 is an example of a spectrum DB in Example 1. 6 is a flowchart illustrating an example of calculation of work suitability in the first embodiment. It is explanatory drawing which shows an example of the method of estimating a management agricultural field state from the spectrum feature-value in Example 1. FIG. It is a 1st example of the work appropriateness curve in farm work in Example 1. FIG. It is a 2nd example of the work appropriateness curve in farm work in Example 1. FIG. 6 is an example of a display screen that displays work suitability in the first embodiment. It is a block diagram which shows the structural example of the farm work plan assistance system in Example 2. FIG. 12 is a flowchart illustrating an example of a work plan determination process according to the second embodiment. It is explanatory drawing which shows an example of the area group which consists of one or more managed farm fields in Example 2. It is explanatory drawing which shows an example of the work plan determination method in Example 2. FIG. It is a block diagram which shows the structural example of the farm work plan assistance system in Example 3. FIG.

  Embodiments of the present invention will be described below with reference to the accompanying drawings. It should be noted that this embodiment is merely an example for realizing the present invention, and does not limit the technical scope of the present invention. In each figure, the same reference numerals are given to common configurations.

  This embodiment demonstrates the agricultural work plan assistance apparatus which supports the production | generation of the agricultural work plan with respect to a some managed farm field. The farm work plan support device calculates the work suitability level of each day in each managed farm using, for example, managed farm field information, a managed farm field situation obtained by analyzing an aerial image, and the like. An aerial image is a spectral image of one or more bands taken from an aerial platform such as an artificial satellite or an aircraft. By analyzing the aerial image, it is possible to determine a work path that takes into account the status of all the management fields within the aerial image range.

  Seeding, rice planting, pest control, pesticide spraying, fertilizer spraying, harvesting and agricultural surveys are all examples of agricultural work. The management field situation is a situation determined from the appearance (aerial image) of the management field in this embodiment, such as the progress of farm work, the progress of growth, the growth failure, the lodging, and the generation of pests in the management field. The management field information is information that is input without using the appearance (aerial image) of the management field in the present embodiment, such as the crop planted in the management field and the area of the management field.

  FIG. 1 is a block diagram illustrating a configuration example of a farm work plan support system according to the present embodiment. The farm work support system includes a farm work plan support device 100 and one or more management terminals 200 connected to each other via a network 300. The network 300 provides a path for data transfer between the farm work plan support apparatus 100 and the management terminal 200. Network 300 may provide any type of data transfer path. The network 300 includes, for example, a wired LAN (Local Area Network), a wireless LAN, and a mobile phone network.

  The farm work plan support apparatus 100 is configured by a computer having a processor (CPU) 131, a memory 133, an auxiliary storage device 132, and a communication interface 134. The processor 131 executes a program stored in the memory 133. The memory 133 includes a ROM that is a nonvolatile storage element and a RAM that is a volatile storage element. The ROM stores an immutable program (for example, BIOS). The RAM is a high-speed and volatile storage element such as a DRAM (Dynamic Random Access Memory), and temporarily stores a program executed by the processor 131 and data used when the program is executed.

  The auxiliary storage device 132 is a large-capacity non-volatile storage device such as a magnetic storage device (HDD) or a flash memory (SSD), and stores a program executed by the processor 131 and data used when the program is executed. To do. That is, the program is read from the auxiliary storage device 132, loaded into the memory 133, and executed by the processor 131. Note that part or all of the data stored in the memory 133 may be stored in the auxiliary storage device 132, or part or all of the data stored in the auxiliary storage device 132 is stored in the memory 133. It may be.

  The farm work plan support apparatus 100 may include an input interface 135 and an output interface 136. The input interface 135 is an interface that is connected to a keyboard 137, a mouse 138, and the like and receives input from an operator. The output interface 136 is an interface to which a display 139, a printer, or the like is connected, and the execution result of the program is output in a form that can be visually recognized by the operator.

  The communication interface 134 is a network interface device that controls communication with other devices in accordance with a predetermined protocol. The communication interface 134 includes a serial interface such as USB, for example.

  The program executed by the processor 131 is provided to the agricultural work planning support apparatus 100 via, for example, a removable medium (CD-ROM, flash memory, etc.) or a network, and is stored in the nonvolatile auxiliary storage device 132 that is a non-temporary storage medium. Stored. For this reason, the farm work plan support apparatus 100 may have an interface for reading data from a removable medium.

  The farm work plan support device 100 is a computer system configured on a single computer or a plurality of computers configured logically or physically, and operates in separate threads on the same computer. Alternatively, it may operate on a virtual machine built on a plurality of physical computer resources.

  The processor 131 includes a data reception unit 107, a data transmission unit 113, an aerial image analysis unit 109, a work suitability calculation unit 110, a movement cost calculation unit 115, and a work plan determination unit 112. For example, the processor 131 functions as the aerial image analysis unit 109 by operating according to the aerial image analysis unit program loaded in the memory 133, and operates according to the work suitability calculation program loaded in the memory 133. It functions as the appropriateness calculation unit 110. The same applies to other parts included in the processor 131.

  The data receiving unit 107 transmits data received from the network 300 via the communication interface 134 to each unit in the processor 131. The data transmission unit 113 receives data from each unit in the processor 131 and transmits the received data to the network 300 via the communication interface 134. Note that the data reception unit 107 and the data transmission unit 113 may be integrally configured as a data transmission / reception unit. Hereinafter, in the description of the processing by the farm work plan support apparatus 100, the description of the processing by the data reception unit 107 and the data transmission unit 113 is omitted.

  For example, the aerial image analysis unit 109 estimates a managed farm field state. An image obtained by a sensor mounted on a satellite or an aircraft is an example of an aerial image. The aerial image analysis unit 109 includes a spectrum calculation unit 121 and a management field state estimation unit 122. The spectrum calculation unit 121 calculates, for example, a spectrum feature amount that is an example of an image feature amount of aerial image data of each management target field. For example, the management field state estimation unit 122 estimates the state of each management field using the spectrum feature amount calculated by the spectrum calculation unit 121. The work suitability calculation unit 110 calculates the work suitability for each day using the management field state estimated by the aerial image analysis unit 109.

  The work suitability is an index indicating the suitability of performing farm work, and may be different for each farm work. For example, the harvest amount in the managed field, the unit price of the harvested crop in the managed field, and (harvested amount) × (harvest unit price) in the managed field are all examples of work suitability for “harvest” which is an example of farm work. An example of work suitability for “agricultural survey”, which is an example of farm work, will be described later.

  The auxiliary storage device 132 holds a management field DB (DataBase) 102, a map DB 103, a farm work DB 104, a resource DB 105, a weather DB 106, an aerial image DB 108, and a spectrum DB 114. A description of each DB will be given later. In the present embodiment, the auxiliary storage device 132 does not have to hold the map DB 103, the farm work DB 104, and the resource DB 105.

  In the present embodiment, the information used by the farm work plan support system may be expressed in any data structure without depending on the data structure. For example, a data structure appropriately selected from a table, list, database or queue can store the information. In the detailed description of each DB described later, an example in which each data held in the auxiliary storage device 132 is expressed in a table structure is shown.

  The management terminal 200 is configured by a computer including a processor, a memory, an auxiliary storage device, a communication interface, an input interface, and an output interface, for example. For example, the management terminal 200 is a portable terminal having a position information acquisition function. In addition, for example, the management terminal 200 may be a mobile phone, a tablet terminal, or the like that includes an output device such as a display or a speaker and outputs information to the output device.

  FIG. 2 is an example of the management field DB 102. The management field DB 102 includes, for example, a management field ID column 201, a coordinate data column 202, a crop column 203, a variety column 204, a growth stage column 205, and an area column 206. The management field ID column 201 stores a management field ID for identifying the management field.

  The coordinate data column 202 stores coordinates for specifying the position of each managed farm field. For example, when the management field is specified by a rectangle including a square and a rhombus, the coordinate data column 202 stores the coordinates of the four corners of the rectangle. For example, when the management field is specified by a circle, the coordinate data column 202 stores, for example, the coordinates and radius of the center. In addition, the coordinate data column 202 may store only representative points such as the center of gravity of the management field. Note that the coordinates in the present embodiment are values indicated by latitude and longitude used in the world geodetic system, for example.

  The crop field 203 stores the name of the crop planted in the management field. The kind column 204 stores the kind name of the crop. In the present embodiment, it is assumed that one variety is planted in one management field. The growth stage column 205 stores the growth stage of the crop. The area column 206 stores the area of the management field.

  FIG. 3 is an example of the map DB 103. The map DB 103 includes, for example, a managed field route field 301, a used resource field 302, a distance field 303, and a route information field 304. The managed field route field 301 stores information for identifying a route between managed fields. In the present embodiment, a route whose value in the inter-management field path field 301 is “xy” is a route from a management field whose management field ID is “x” to a management field whose management field ID is “y”. Indicates.

  The used resource column 302 stores the name of the resource that moves along the route. The distance column 303 stores a movement distance when the resource moves along the route. The route information column 304 stores information indicating the route. For example, a route whose value in the route information column 304 is “(xa, ya), (xb, yb), (xc, yc)” goes straight from the start point (xa, ya) to the point (xb, yb). In this case, the route goes straight from the point (xb, yb) to the end point (xc, yc). The route stored in the route information column 304 may include a curve. In this case, the route information column 304 stores, for example, a function for specifying the curve.

  In the present embodiment, the distance varies depending on the resources used even when moving between the same managed fields. For example, a combine needs to move along a road, but a squadron such as UAV (Unmanned Arial Vehicle) does not need to move along a road. In addition, although a present Example demonstrates the example where the path | route which goes from the management field with one resource to another management field is one type, it is multiple types which go to another management field from the management field with one resource. There may be a route.

  FIG. 4 is an example of the farm work DB 104. The farm work DB 104 includes, for example, a work target field 401, a work content field 402, a used resource field 403, an hourly work area field 404, an hourly work movement cost field 405, an hourly management field movement cost field 406, and a management field movement speed. Column 407 is included.

  The work target column 401 stores the name of the crop that is the work target. The work content column 402 stores the name of the farm work. The used resource column 403 stores the name of the resource used for the corresponding farm work. The hourly work area column 404 stores the hourly work area when the corresponding use resource performs the corresponding work content on the corresponding work target.

  The hourly work movement cost column 405 stores the hourly work movement cost when the corresponding use resource implements the corresponding work content for the corresponding work target. The hourly managed inter-field movement cost column 406 stores the hourly managed inter-field movement cost of the corresponding use resource. The hourly work area column 404 stores the movement speed between management fields of the corresponding used resource.

  In the present embodiment, the description “every hour” is an example, and can be read as “per predetermined time”. Moreover, the money required for movement is an example of movement cost. In addition, the movement cost may be represented by, for example, the amount of fuel required for movement. A plurality of resource information may be stored for one combination of work target and work content. Specifically, for example, a plurality of resources may be used for “harvesting” “rice”.

  FIG. 5 is an example of the resource DB 105. The resource DB 105 includes, for example, a resource column 501, a quantity column 502, a usable period column 503, a rainy work availability column 504, and a usage time column 505. The resource column 501 stores the name of the resource. The quantity field 502 stores the possessed quantity of the corresponding resource. The available period column 503 stores the available period of the corresponding resource.

  The rainy work availability column 504 stores the rainy work availability of the corresponding resource. The usage time column 505 stores the maximum usage time in the corresponding resource unit period (one day in this embodiment). In the present embodiment, an example in which the unit period is one day will be described. However, other periods may be used as the unit period. Note that the resource DB 105 manages resources with different capabilities (usable machine period, availability of rainy work, usage time, etc.) in separate records. When there is a combine that can work in rainy weather and a combine that cannot work in rainy weather, for example, the former name is combine A and the latter name is combine B, and both are managed as separate resources in the resource DB 105.

  FIG. 6 is an example of the weather DB 106. The weather DB 106 includes, for example, a management field ID column 601, a date column 602, a weather column 603, and an average temperature column 604. The management field ID column 601 stores the management field ID. Note that the weather DB 106 may include, for example, a region column for storing the name of the region, instead of the management field ID column 601. In this case, the correspondence between the region name and the management field ID needs to be stored in advance in the auxiliary storage device 132 or the like. The date column 602 stores the date. The weather column 603 stores the weather. The average temperature column 604 stores the average temperature. When the value in the date column 602 is a future date, the weather column 603 corresponding to the date column stores the predicted weather, and the average temperature column 604 stores the predicted average temperature.

  FIG. 7 is an example of the aerial image DB 108. The aerial image DB 108 includes, for example, a shooting date / time column 701, a coordinate data column 702, a use sensor column 703, and an image data column 704. The shooting date / time column 701 stores the shooting date / time of the aerial image. The coordinate data column 702 stores coordinates indicating a position corresponding to the aerial image. The description of the coordinates in the coordinate data column 702 is the same as the description of the coordinates in the coordinate data column 202, and will be omitted.

  The used sensor column 703 stores the name of the sensor used for capturing the corresponding aerial image. An aerial image may be obtained by a plurality of sensors. Therefore, the names of a plurality of sensors may be stored in one cell of the used sensor column 703. Note that the aerial image DB 108 may further hold a spectral feature amount in each pixel of each image data.

  FIG. 8 is an example of the spectrum DB 114. The spectrum DB 114 includes, for example, a crop column 801, a class column 802, a use sensor column 803, and a feature vector column 804. A red spectrum column 805 and a near infrared spectrum column 806 are included. The crop field 801 stores the names of crops. The class column 802 stores the state of the crop planted in the management field. The use sensor column 803 stores the name of a sensor that captures an image to be described later.

  The feature vector column 804 stores each element of the feature vector used for estimating the managed field state. In addition, the element of the feature quantity vector includes a feature quantity regarding each of one or more types of spectra. The feature vector elements may further include, for example, weather information such as precipitation and average temperature, and information such as the type of crop. For example, when the element of the feature vector includes precipitation information, the value in the class column 802 when the precipitation is greater than or equal to a predetermined value is preferably a class indicating that there is a lot of precipitation, such as “Precipitation”. This is because when the amount of precipitation is very large, it is not easy to directly estimate the state of the management field from the image.

  In the example of FIG. 8, the feature vector column 804 includes a red spectrum column 805 and a near infrared spectrum column 806, which are elements of the feature vector. The red spectrum column 805 stores the intensity of the red spectrum. The near-infrared spectrum column 806 stores the intensity of the near-infrared spectrum. However, the value stored in each spectrum column may be the reflectance rather than the intensity of the spectrum. In addition, values obtained by combining two or more values such as spectrum intensity and reflectance may be stored in each spectrum column. In the present embodiment, unless otherwise specified, the feature amount vector is assumed to be composed of two types of feature amounts, that is, the intensity of the red spectrum and the intensity of the near infrared spectrum.

  FIG. 9 is a flowchart showing an example of calculation of the work suitability level. First, the data receiving unit 107 receives input of management field information, a work period, and work contents from, for example, the management terminal 200 (S901). Note that the management field information includes, for example, information on crops or cultivars being planted, progress information on farm work, and the like. Specifically, the management field information includes information stored in the management field DB 102, the weather DB 106, and the spectrum DB 114. In addition, each DB may hold | maintain management field information before the process of step S901. In step S901, the data receiving unit 107 stores the input managed farm field information in the corresponding DB.

  Subsequently, the data receiving unit 107 receives an aerial image including each managed field from, for example, the management terminal 200, stores the received aerial image information in the aerial image DB 108, and the spectrum calculation unit 121 includes the aerial image DB 108. The spectral feature amount of each aerial image is calculated from the image data stored in (S902). Note that the spectrum calculation unit 121 calculates, for example, a feature amount related to a predetermined spectrum (intensity of a red spectrum and a near infrared spectrum in this embodiment) for each pixel of each aerial image.

  Subsequently, the managed farm field state estimation unit 122 estimates the state of each managed farm field using the calculated feature amount related to the spectrum (S903). Specifically, the management field state estimation unit 122 estimates the class to which each management field belongs. Hereinafter, the estimation method of the state of each management field is demonstrated using FIG.

  FIG. 10 is an explanatory diagram illustrating an example of a method for estimating the management field state from the spectrum feature amount. FIG. 10 shows a feature amount space around the feature amount used for estimation of the state of the management field. In the example of FIG. 10, the feature quantity a (red spectrum intensity in the present embodiment) and the feature quantity b (near infrared spectrum intensity in the present embodiment) are used for estimation of the management field where the crop A is planted. Hereinafter, although the process with respect to the crop A is demonstrated, the management farm field state estimation part 122 performs the following processes about all the crops stored in the crop column 801 of all the spectrum DB114.

  First, the management field state estimation unit 122 refers to the spectrum DB 114, extracts a feature vector corresponding to a record whose value in the crop field 801 is crop A, and plots it on the feature space. Note that the management field state estimation unit 122 may plot only the feature quantity vector of the class corresponding to the work content input in step S901 on the feature quantity space. The correspondence is predetermined, for example. For example, for the work content “harvest”, a class “slitter” that leads to a drop in the quality of the crop is predetermined. In addition, when the use sensor corresponding to the extracted feature-value vector differs, the management agricultural field state estimation part 122 may normalize a feature-value vector, and may plot it on feature-value space.

  The lodging cluster 1001 in the example of FIG. 10 is a cluster including feature quantity vectors whose class is “loan” among the extracted feature vectors. The lodging cluster 1001 is a cluster including feature quantity vectors whose class is “loan” among the extracted feature vectors. Similarly, the cluster 1002 10 days before the optimum time for harvesting is a cluster including the feature quantity vector whose class is “10 days before the appropriate time for harvesting” among the extracted feature vectors. The cluster 1003 2 days before the appropriate time for harvesting is the extracted feature vector. Among them, the cluster includes a feature quantity vector whose class is “2 days before the appropriate harvest period”.

  The managed field state estimation unit 122 includes, for example, a cluster that includes all of the extracted feature vectors that have the class “falling” and that has a boundary whose distance from the feature vectors is a predetermined value. Are generated as lodging clusters 1001. Similarly, the management field state estimation unit 122 generates clusters for all classes corresponding to the extracted feature vector. There may be a region where a plurality of clusters overlap.

  In addition, for example, the management field state estimation unit 122 identifies a spectrum feature amount whose shooting date and time is a predetermined period among the spectrum feature amounts of the image calculated in step S902. The predetermined period is, for example, the date when step S902 is performed, the start date of the work period, or the like. The managed field state estimation unit 122 refers to, for example, the coordinate data field 202 and the crop field 203 of the managed field DB 102 and the coordinate data field 702 of the aerial image DB 108, and the crop A is affixed among the specified spectral features. Then, the spectrum feature amount in each managed farm is specified, and a feature amount vector having the specified spectrum feature amount as an element is generated.

  Note that the management field state estimation unit 122 may normalize each feature amount vector when the use sensors corresponding to the image data that is the calculation source of the specified spectrum feature amount are different. The managed farm field state estimating unit 122 generates, for example, a representative feature vector in the managed farm field for each managed farm field to which the crop A is planted. For example, the average value of the feature amount vector in a certain management field where the crop A is planted is an example of the representative feature amount vector in the management field.

  The managed field state estimation unit 122 plots the representative feature vector in the feature space for each managed field to which the crop A is planted, and the crop A is planted according to the cluster to which the plotted representative feature vector belongs. Determine the class of each managed field. The representative feature quantity vector 1004 is a representative feature quantity vector of a certain management field where the crop A is planted, and belongs to the cluster 1003 two days before the appropriate harvest period. That is, the class of the management field is “2 days before the appropriate harvest time”.

  The managed field state estimation unit 122 uses, as the feature vector, a representative feature vector (a representative feature vector calculated from a pre-standard feature vector when the feature vector is standardized) for each representative feature vector. In the column 804, the value of the class corresponding to the representative feature amount is stored in the class column 802, the use sensor corresponding to the representative feature amount is stored in the use sensor column 803, and the value “crop A” is stored in the crop column 801. Good.

  When the representative feature quantity vector does not belong to any cluster, the management farm field state estimation unit 122 estimates that the class of the management farm field corresponding to the representative feature quantity vector is unknown, and the estimation result is sent to the management terminal 200. May be notified. Further, when the representative feature vector does not belong to any cluster, the managed field state estimation unit 122 may select the cluster closest to the representative feature vector (if there are a plurality of clusters having the closest distance, for example, arbitrary It may be considered that the representative feature vector belongs to the one cluster selected in (1).

  In addition, although the managed field state estimation part 122 calculated the representative feature-value vector and estimated the class of each managed-field from the representative feature-value vector, the respective feature-value vectors were plotted on the feature-value space. After identifying the class corresponding to each feature vector, the class of each managed field may be estimated using each identified class. For example, the management field state estimation unit 122 may estimate a class having the highest appearance frequency as a class of the management field among the classes corresponding to the feature vector of each management field.

  Returning to the description of FIG. Subsequently, the work suitability calculation unit 110 calculates the work suitability of each management field for each day of the work period input in step S901, using the weather DB 106 and the management field state estimated in step S903. (S904). Hereinafter, an example of a calculation method of the work suitability when the farm work is “harvest” will be described.

  The work suitability calculation unit 110 acquires, for example, a work suitability curve corresponding to a combination of the work content and the class of the managed farm for each managed farm. The work suitability curve is a curve showing the transition of work suitability. In addition, the correspondence between the combination of the work content and the class of the management field and the work appropriateness curve is determined in advance, for example. Further, the work suitability calculation unit 110 may correct the acquired work suitability curve using information in the weather DB 106. In the present embodiment, the work appropriateness curve is a concept including not only a curve but also a straight line and a line segment.

  FIG. 11A is a first example of a work suitability curve in farm work. FIG. 11A illustrates an example in which the appropriateness of work is (amount of harvest) × (unit price of the harvest). The work suitability curve is, for example, a curve indicating a function having the date as an independent variable and the work suitability as a dependent variable. Note that the date at the origin, that is, the start point of the appropriateness calculation is a date corresponding to the estimated state of the management field.

  The work suitability curve 1101 is an example of a work suitability curve corresponding to a management field whose class is “harvest harvest”. In the management field, since it is the appropriate harvest time at the start time, the work suitability curve 1101 has the maximum work suitability for a certain period from the start time. Therefore, the work suitability decreases. In the work appropriateness curve 1102, for example, since the harvest amount is improved toward 10 days after the harvest appropriate time, the work appropriateness increases. Also in the work suitability curve 1102, the work suitability decreases after a certain period of time has elapsed since the start of the harvest proper time.

  Note that, for example, an integrated temperature from the start of a predetermined growth stage may be used as the work appropriateness for harvesting. The integrated temperature is the total daily average temperature from the recording start date to the recording end date. For example, the heading time is an example of the predetermined growth stage. For example, the work suitability calculation unit 110 estimates the date at the start of the heading period of each management field, and calculates the integrated temperature from each sunrise heading period in each management field with reference to the weather DB 106. In addition, it is good also considering the upper limit of integrated temperature as the appropriate harvest proper integrated temperature. Note that the proper harvest appropriate temperature varies depending on the type, variety, cultivation region, and the like of the crop, and is set in advance by the user.

  FIG. 11B is a second example of a work suitability curve in farm work. The work suitability curve 1103 is an example of a work suitability curve that corresponds to a management field having a class of “loan” and that has been corrected by rainfall prediction. In managed fields where the crops are lying, the crops are soaked in the water when it rains, greatly reducing the quality of the harvest. Therefore, in the work suitability curve 1103, the work suitability after the day when rain is expected falls sharply.

  The work suitability curve 1104 is a work suitability curve 1104 corresponding to a management field having a class of “falling down” when it does not rain. In calculating the work appropriateness, the work appropriateness calculating unit 110 first selects a work appropriateness curve 1104 corresponding to the “harvest” and “lailing” classes. Subsequently, the work suitability calculation unit 110 refers to the weather DB 106, for example, and multiplies the work suitability shown by the work suitability curve 1104 after the day when rainfall is expected, by a constant multiple to obtain the work suitability curve 1104. By correcting, the work appropriateness curve 1103 is calculated. The constant is, for example, a value of 0 or more and less than 1.0, and is set by the user of the farm work plan support apparatus 100.

  In addition, the work appropriateness calculation unit 110 may weight each calculated work appropriateness. The work suitability calculation unit 110 acquires the area of each managed field from the managed field DB 102, and multiplies the calculated work suitability by the area of the managed field corresponding to the work suitability to obtain a management field having a large area. You may give the weight which makes work appropriateness high preferentially. In addition, for example, the user inputs a past harvest amount or the like of each managed farm field to the farm work plan support apparatus 100 via the management terminal 200 or the like, and the work suitability calculation unit 110 weights the harvest amount or the like. You may use for.

  The work suitability calculation unit 110 may change the work suitability correction method according to the type of work suitability according to the purpose of the farm work. Specifically, for example, when the farm work is harvesting of crops for sale and the work suitability is an index indicating the quality of the harvest, the work suitability calculation unit 110 performs a predetermined operation on the work suitability curve. You may correct | amend all the work appropriateness below a threshold value to predetermined value (for example, 0 etc.). When the work suitability indicating quality is less than or equal to the threshold value, the harvest is not suitable for sale. Therefore, the work suitability calculation unit 110 corrects the work suitability curve in this way to harvest. It can be determined that there is no.

  Hereinafter, an example of the work suitability when the farm work is “agricultural survey” will be described. In step S903, the management field state estimation unit 122 generates a representative feature quantity vector in the same manner as described above. For example, for each managed field, the managed field state estimation unit 122 calculates the distance between the representative feature vector of the managed field and each feature vector of the spectrum DB 114. The management field state estimation unit 122 calculates only the distance between the representative feature vector of the management field and each feature vector corresponding to the crop planted on the management field in the spectrum DB 114 for each management field. May be.

  Furthermore, in step S903, the management field state estimation unit 122 determines the minimum distance among the calculated distances for each management field as the state of the management field in the management field. The larger the minimum distance is, the more the feature amount having the feature amount similar to the feature amount of the managed farm field is stored in the spectrum DB 114.

  In step S904, the work appropriateness calculation unit 110 determines, for each management field, the reciprocal of the calculated minimum distance as the work appropriateness in the management field. This work suitability is constant regardless of the work day. That is, the work suitability calculation unit 110 selects a constant function as the work suitability curve when the work content is an agricultural survey and the minimum distance is calculated as the managed field state, and the calculated minimum distance is calculated. Is determined as a constant of the constant function. Note that the constant does not necessarily have to be the reciprocal of the minimum distance. For example, the minimum dissimilarity among the dissimilarities between the feature amount of the management field and the feature amounts included in the spectrum DB 114 is, for example. The larger the value, the better. The distance between feature quantity vectors is an example of dissimilarity.

  The work appropriateness calculation unit 110 calculates the work appropriateness as the work appropriateness for the agricultural survey, so that the work appropriateness of the managed field having features that are not similar to the feature amount recorded in the spectrum DB 114. The user can collect data on managed fields having various characteristics.

  FIG. 12 is an example of a display screen that displays the appropriateness of work. A display screen 1200 is a screen on which an appropriateness of work is displayed on an image. The display screen 1200 includes work suitability display areas 1201 to 1203. The work appropriateness display area 1201 displays, for example, an aerial image showing the work appropriateness of each managed farm on the first day of the work period. In the example of FIG. 12, on the first day of the work period, the management field with the management field ID “1” has five work suitability levels, the management field with the management field ID “2” has five work suitability levels, and the management field The work appropriateness of the management field with ID 3 is 1 point.

  Note that the work suitability in the work suitability display area 1201 may be expressed by, for example, color coding instead of a numerical value. The work appropriateness display area 1201 may display a work appropriateness of each managed field instead of an aerial image, and may display a map including position information.

  The work suitability display area 1202 displays the work suitability of each managed field on the second day of the work period, and the work suitability display area 1203 displays the work suitability of each managed field on the third day of the work period. Is displayed. The description of the work appropriateness display area 1202 and the work appropriateness display area 1203 is the same as the description of the work appropriateness display area 1201, and will be omitted.

  The display screen 1200 may have a work suitability display area corresponding to all the days of the work period, or may correspond to a part of the work period determined in accordance with an instruction from the user. Only the work suitability display area may be provided.

  Hereinafter, an example of a method for generating the display screen 1200 will be described. The work suitability calculation unit 110 refers to the coordinate data field 202 of the management field DB 102 and the coordinate data field 702 of the aerial image DB 108, and acquires image data including all the management fields from the aerial image DB 108. The work suitability calculation unit 110 refers to the coordinate data column 202 of the management field DB 102 and displays the work suitability on the first day of the work period on each management field on the acquired aerial image, thereby obtaining the work suitability level. The display contents of the display area 1201 are generated.

  The work appropriateness calculation unit 110 generates the display content of the display screen 1200 by generating the display content of the work appropriateness display area for each day through the same processing. The work suitability calculation unit 110 outputs the display content of the generated display screen 1200 to the display 139 or the management terminal 200, for example.

  As described above, the farm work plan support system according to the present embodiment can calculate the work suitability of each managed farm field on each day using the aerial image. In addition, since the farm work plan support apparatus 100 calculates the work suitability using the aerial image, for example, as in large-scale farming or the like, monitoring by humans or installation of sensors in each managed farm field is physically and This is particularly effective when cost is difficult. Moreover, the agricultural work plan support system of a present Example can calculate work appropriateness more correctly by considering weather information.

  The farm work plan support apparatus 100 according to the present embodiment determines a work target farm field from the management farm field, and determines a work plan. Hereinafter, the present embodiment will be described with respect to differences from the first embodiment.

  FIG. 13 is a block diagram illustrating a configuration example of a farm work plan support system according to the present embodiment. The processor 131 further includes a movement cost calculation unit 115, a work plan determination unit 112, and a work plan determination unit 116. The movement cost calculation part 115 calculates the movement cost in farm work. The work plan determination unit 112 includes, for example, a work plan execution feasibility determination unit 123 and a work plan appropriateness calculation unit 124, and determines the feasibility and appropriateness of the work plan. The work plan determination unit 116 includes, for example, an agricultural work area classification unit 125, an intra-area work route determination unit 126, a regional work route determination unit 127, and an overall work route determination unit 128, and determines a work plan.

  FIG. 14 is a flowchart illustrating an example of the work plan determination process. First, the data receiving unit 107 receives input of management field information, work period, work content, and resource information from, for example, the management terminal 200 (S1401). Resource information is information input to the resource DB 105. Note that the resource DB 105 may hold resource information in advance before the process of step S1401. Subsequently, the processes in steps S902 to S904 are executed. Subsequently, the farm work area classification unit 125 classifies the management farm field group including the management farm fields into one or more areas (S1405).

  Hereinafter, an example of the process of classifying the management field group into one or more areas will be described. For example, the farm work area classifying unit 125 refers to the coordinate data column 202 of the management field DB 102, identifies the center of gravity of each management field, and determines the identified center of gravity as the representative position of each management field. The farm work area classifying unit 125 classifies the representative field group including the representative positions of the respective managed farm fields using an algorithm such as the K-mean method or the isodata method, thereby classifying the managed farm field group into regions. The farm work area classification unit 125 may acquire the area of each management field from the area field 206 of the management field DB 102, and use each acquired area as a weight of each management field in the classification process.

  Subsequently, the work plan feasibility determination unit 123 determines whether or not the farm work in each region is completed within a unit period (one day in this embodiment) (S1406). In this embodiment, the management field is defined in advance in the management field DB 102 so that the farm work for one management field is completed within one day. Hereinafter, an example of a method for determining whether or not farm work in a certain area is completed in one day will be described.

  First, the work plan feasibility determination unit 123 specifies the use resource of the work content input in step S1401, the hourly work area, and the hourly management field movement speed from the farm work DB 104. The work plan feasibility determination unit 123 acquires the quantity and use time of the resources included in the work period whose usable period is input in step S1401 among the identified used resources. Note that the resource is a resource used in the farm work.

  Subsequently, the intra-regional work route determination unit 126 uses the distance between each management field in the region corresponding to the resource indicated by the map DB 103 to perform the minimum movement for visiting all the management fields in the region. The distance is calculated according to an algorithm such as the Dijkstra method. The work plan feasibility determination unit 123 calculates a resource movement time from the calculated minimum movement distance and the acquired resource-to-management field movement speed.

  In addition, the work plan feasibility determination unit 123 refers to the management field DB 102, calculates the total area of the management field in the area, and determines the farm work in the area from the calculated total area and the hourly work area of the resource. This time is calculated. The work plan feasibility determination unit 123 determines that the farm work in the area is not completed in one day when the sum of the time required for the farm work in the area and the movement time of the resource exceeds the use time of the acquired resource. To do. The work plan feasibility determination unit 123 determines that the farm work in the area is completed in one day when the sum of the time required for the farm work in the area and the resource movement time is equal to or less than the use time of the acquired resource.

  When the work plan feasibility determination unit 123 determines that there is an area where the farm work is not completed in one day (step S1406: No), the farm work area classification unit 125 further classifies each of the areas into a plurality of areas (S1407). ), Again the process proceeds to step S1406. Since the classification method in step S1407 is the same as the classification method in step S1405, description thereof is omitted.

  FIG. 15 is an example of a group of regions including one or more managed farm fields. Each of the region 1501, the region 1502, and the region 1503 includes one or more managed farm fields, and is a region where the farm work in the region is completed in one day.

  Returning to the description of FIG. When the work plan feasibility determination unit 123 determines that the farm work is completed in one day in all regions (step S1406: Yes), the work plan determination unit 116 determines a work plan (S1408). Hereinafter, an example of a work plan determination method will be described.

  FIG. 16 is an explanatory diagram showing an example of a work plan determination method. FIG. 16 shows an example in which the work period is 3 days, and the management field is classified into three regions, region 1, region 2, and region 3. The work plan appropriateness calculation unit 124 calculates, for example, the sum of the work appropriateness on the first day of the management field included in the region 1 calculated in step S904 as the work appropriateness on the first day in the region 1. . Similarly, the work plan appropriateness calculation unit 124 calculates the work appropriateness of each region on each day of the work period.

  Subsequently, the regional work route determination unit 127 identifies the distance between the regions. When the distance between the region 1 and the region 2 is specified, the region-specific work route determination unit 127 is a record corresponding to the resource used for the farm work from the map DB 103, and includes a management field in the region 1 and a management field in the region 2. Get the distance of the record, which corresponds to the route with. The regional work route determination unit 127 determines the minimum distance among the acquired distances as the distance between the region 1 and the region 2. The regional work route determination unit 127 identifies the distance between the region 1 and the region 3 and the distance between the region 2 and the region 3 by the same method.

  Subsequently, the regional work route determination unit 127 acquires, from the farm work DB 104, the hourly management field movement cost and the management field movement speed corresponding to the resources used in the farm work. The regional work route determination unit 127 calculates the travel time between the regions using the travel speed between the management fields and the distance between the regions, and uses the calculated travel time and the travel cost between the management fields every hour. Calculate the travel cost between each region.

  Subsequently, the regional work route determination unit 127 determines the regional work route using the work suitability level of each region on each day and the movement cost between the regions. Specifically, for example, the regional work route determination unit 127 calculates the inter-regional movement cost from the sum of the appropriateness of the regional work when the farm work is performed in different regions on the first day, the second day, and the third day. The difference obtained by subtracting the total is calculated as the work plan score.

  In the present embodiment, an example in which one area of farm work is performed per day will be described, but a plurality of areas of farm work may be performed per day. The regional work route determination unit 127 can determine whether or not the farm work is completed in one day by executing the same determination as in step S1406 for each of the regional groups including a plurality of regions. When such a region group exists, the farm work in the farm work plan determined in the example of FIG. 16 is completed within two days.

  For example, an example of a work plan for performing farm work in the region 1 on the first day, the region 2 on the second day, and the region 3 on the third day will be described. The work suitability of area 1 on the first day is 5 points, the work suitability of area 2 on the second day is 3 points, and the work suitability of area 3 on the third day is 4 points. The travel cost from region 1 to region 2 is 6 points, and the travel cost from region 2 to region 3 is 1 point. Therefore, the work plan score in the work plan for farming in the area 1 on the first day, the area 2 on the first day, and the area 3 on the third day is (5 + 3 + 4) − (6 + 1) = 5.

  Similarly, the regional work route determination unit 127 calculates the work plan score in all the regional patrol orders. The overall work route determination unit 128 determines a predetermined number (for example, one) of work plans in descending order of the work plan score. In addition, the circulation order of the management field in each area is an order in which the movement distance between the fields in the area calculated by the work route determination unit 126 in the area becomes the minimum.

  Returning to the description of FIG. Subsequently, the regional work route determination unit 127 outputs the determined work plan to, for example, the display 139 or the management terminal 200 (S1409). Specifically, for example, the area-specific work route determination unit 127 includes information indicating which area each managed farm belongs to, when and which farm work is performed, and information indicating the order of the managed farm in each area. Output as work plan. Further, the regional work route determination unit 127 may output the work appropriateness on the work day of the management field in the work plan for each management field.

  Further, the regional work route determination unit 127 may output the determined work plans together with the work plan scores in the order of the work plan scores, for example. Further, the regional work route determination unit 127 may output the work plan on the aerial image as in the display screen 1200 of FIG.

  The farm work support system according to the present embodiment determines a work plan based on the work suitability level, the movement cost, and the resource information, thereby satisfying the resource constraints and optimizing the cost and work suitability. Can be determined.

  The farm work plan support apparatus 100 according to the present embodiment selects a work field to be managed, and determines a work plan in the selected work field. For example, when a person who is an example of a resource conducts an agricultural survey which is an example of farm work, the cost can be saved by investigating only a part of the management field. The farm work plan support apparatus 100 according to the present embodiment, for example, selects a part of the managed farm fields and determines the work plan so that survey results of various types of managed farm fields can be obtained and the cost can be saved. Hereinafter, in the present embodiment, differences from the second embodiment will be described.

  FIG. 17 is a block diagram illustrating a configuration example of the farm work plan support system according to the present embodiment. The work plan determination unit 116 further includes a work management field selection unit 129. When it is determined in step S1406 that the farm work in each area is completed in one day (S1406: Yes), the work management field selection unit 129 selects a management field with high work suitability from each area.

  When the farm work is a yield survey for each region, the work management field selection unit 129 receives, for example, an input of the number of survey target management fields in each region from the user or the like, and from each region in descending order of work suitability. Select the same number of managed fields as the number of surveyed managed fields. When the number of managed fields in the area is less than the number of managed farm fields, the work management field selection unit 129 selects all the managed fields in the area, for example.

  Further, the work management field selection unit 129 selects the same number of management fields as the number of survey target management fields from each region so that the value obtained by subtracting the movement cost from the sum of the work suitability in each region is maximized. Also good. In addition, the work management field selection unit 129 may select, for example, a management field whose work suitability is a predetermined threshold or more from each region. The process after step S1408 is performed on the management field selected by the work management field selection unit 129 from each region.

  In addition, this invention is not limited to an above-described Example, Various modifications are included. For example, the above-described embodiments have been described in detail for easy understanding of the present invention, and are not necessarily limited to those having all the configurations described. Further, a part of the configuration of a certain embodiment can be replaced with the configuration of another embodiment, and the configuration of another embodiment can be added to the configuration of a certain embodiment. Further, it is possible to add, delete, and replace other configurations for a part of the configuration of each embodiment.

  Each of the above-described configurations, functions, processing units, processing means, and the like may be realized by hardware by designing a part or all of them with, for example, an integrated circuit. Each of the above-described configurations, functions, and the like may be realized by software by interpreting and executing a program that realizes each function by the processor. Information such as programs, tables, and files for realizing each function can be stored in a memory, a hard disk, a recording device such as an SSD (Solid State Drive), or a recording medium such as an IC card, an SD card, or a DVD.

  Further, the control lines and information lines indicate what is considered necessary for the explanation, and not all the control lines and information lines on the product are necessarily shown. Actually, it may be considered that almost all the components are connected to each other.

DESCRIPTION OF SYMBOLS 100 Farm work plan support apparatus, 102 Management farm field DB, 103 Map DB, 104 Farm work DB, 105 Resource DB, 106 Weather DB, 108 Aerial image DB, 109 Aerial image analysis part, 110 Work appropriateness calculation part, 112 Work plan determination part , 114 spectrum DB, 115 movement cost calculation unit, 116 work plan determination unit, 131 processor, 132 auxiliary storage device, 133 memory

Claims (14)

A farm work plan support device for supporting generation of a farm work plan in a managed field,
Including a processor and a storage device;
The storage device
Feature amount information indicating the correspondence between the image feature amount and the state of the field;
An image feature amount of the management field;
The work suitability information indicating the correspondence between the combination of the work contents and the state of the farm work and the work suitability curve indicating the transition of the work suitability is retained,
The processor is
For the managed field, perform work suitability estimation processing,
In the work suitability estimation process,
Accept input of farm work details,
Comparing the image feature amount indicated by the feature amount information with the image feature amount of the management field, to estimate the state of the management field,
Referring to the work suitability information, determine the work suitability curve corresponding to the combination of the work content that has received the input and the estimated state,
A farm work plan support device that outputs a transition indicated by the determined work suitability curve to a display device. The farm work plan support apparatus according to claim 1,
The storage device further holds weather information indicating the weather of the management field during the work period in the plan,
The processor is
In the work suitability estimation process,
When the weather indicated by the weather information satisfies a predetermined condition, the determined work suitability curve is corrected,
A farm work plan support device that outputs a transition indicated by the corrected work suitability curve to the display device. A farm work plan support device according to claim 2,
The work content is a harvesting work of a crop planted in the management field,
The state of the field indicated by the feature amount information includes a lying state in which a crop in the field has fallen,
The processor is
In the work suitability estimation process,
When it is estimated that the state of the management field is the lodging state and it is determined that rainfall occurs in the management field during the work period with reference to the weather information,
An agricultural work plan support apparatus that executes correction for reducing the work suitability after the rain occurrence date and time in the determined work suitability curve according to a predetermined condition. The farm work plan support apparatus according to claim 1,
The work content is an agricultural survey in the management field,
The work suitability curve corresponding to the agricultural survey in the work suitability information is a straight line represented by a constant function,
The processor is
In the work suitability estimation process,
In the estimation of the state of the management field, the distance between each image feature amount indicated by the feature amount information and the image feature amount of the management field is calculated,
The agricultural work plan support apparatus which determines the constant in the said constant function to a smaller value, so that the minimum distance is larger among the calculated distances. The farm work plan support apparatus according to claim 1,
The work period in the plan consists of a plurality of unit periods,
The storage device further holds area information indicating an area of the management farm field, and resource information indicating a work area per predetermined time of resources used for execution of farm work,
The processor is
For each of the plurality of managed fields, the work suitability level estimation process is executed,
Based on the area information and the resource information, the plurality of management fields are classified so that the farm work in each of the plurality of management field groups by the resource is completed within one unit period. Generate a plurality of management field groups consisting of fields,
For each of the plurality of unit periods, based on the determined work suitability curve, calculate the work suitability of each of the plurality of management field groups,
The work appropriateness of each of the plurality of management field groups is the sum of the work appropriateness of the management fields constituting the management field group,
The processor is
Generating a plurality of farm work plan candidates indicating a management field group in which farm work is performed in each of the plurality of unit periods;
For each of the plurality of farm work plan candidates, specify the work suitability of a unit period in which each of the plurality of managed farm groups is farmed, and calculate the total value of the identified work suitability,
Based on the calculated total value, select a farm work plan from the plurality of farm work plan candidates,
A farm work plan support device for outputting the selected farm work plan to the display device. The farm work plan support device according to claim 5,
The storage device further holds movement cost information indicating a movement cost between the plurality of managed fields of the resource,
The processor is
For each of the plurality of farm work plan candidates, with reference to the movement cost information, calculate a total value of the movement costs between the management field groups according to the circulation order of the management field groups indicated by the farm work plan candidates, and calculate the work suitability calculated Calculate the difference by subtracting the total value of the calculated travel costs from the total value of degrees,
A farm work plan support apparatus that selects a farm work plan from the plurality of farm work plan candidates based on the calculated difference. The farm work plan support device according to claim 5,
The processor is
Based on the area information and the resource information, the plurality of management fields are classified so that the farm work in each of the plurality of management field groups by the resource is completed within one unit period. Generate multiple management field group candidates consisting of fields,
For each of the plurality of management field group candidates, select a management field having a high work suitability compared to a predetermined condition, determine a work target management field group composed of the selected management field,
The farm work plan support apparatus, wherein the plurality of management farm field groups includes the determined work target management farm group. A farm work plan support device is a farm work plan support method for supporting generation of a farm work plan in a managed field,
The farm work plan support device
Feature amount information indicating the correspondence between the image feature amount and the state of the field;
An image feature amount of the management field;
The work suitability information indicating the correspondence between the combination of the work contents and the state of the farm work and the work suitability curve indicating the transition of the work suitability is retained,
The farm work plan support method includes:
The farm work plan support device,
For the managed field, perform work suitability estimation processing,
In the work suitability estimation process,
Accept input of farm work details,
Comparing the image feature amount indicated by the feature amount information with the image feature amount of the management field, to estimate the state of the management field,
Referring to the work suitability information, determine the work suitability curve corresponding to the combination of the work content that has received the input and the estimated state,
A farm work plan support method for outputting a transition indicated by the determined work suitability curve to a display device. A farm work plan support method according to claim 8,
The farm work plan support device further holds weather information indicating the weather of the management field during the work period in the plan,
The farm work plan support method includes:
The farm work plan support device,
In the work suitability estimation process,
When the weather indicated by the weather information satisfies a predetermined condition, the determined work suitability curve is corrected,
A farm work plan support method for outputting, to the display device, a transition indicated by the corrected work suitability curve. A farm work plan support method according to claim 9,
The work content is a harvesting work of a crop planted in the management field,
The state of the field indicated by the feature amount information includes a lying state in which a crop in the field has fallen,
The farm work plan support method includes:
The farm work plan support device,
In the work suitability estimation process,
When it is estimated that the state of the management field is the lodging state and it is determined that rainfall occurs in the management field during the work period with reference to the weather information,
A farm work plan support method for executing correction for reducing the work suitability after the rain occurrence date and time in the determined work suitability curve according to a predetermined condition. A farm work plan support method according to claim 8,
The work content is an agricultural survey in the management field,
The work suitability curve corresponding to the agricultural survey in the work suitability information is a straight line represented by a constant function,
The farm work plan support method includes:
The farm work plan support device,
In the work suitability estimation process,
In the estimation of the state of the management field, the distance between each image feature amount indicated by the feature amount information and the image feature amount of the management field is calculated,
The farm work plan support method of determining a constant in the constant function as a larger value as a minimum distance is smaller among the calculated distances. A farm work plan support method according to claim 8,
The work period in the plan consists of a plurality of unit periods,
The farm work plan support device further holds area information indicating the area of the managed farm field, and resource information indicating a work area per predetermined time of resources used for execution of farm work,
The farm work plan support method includes:
The farm work plan support device,
For each of the plurality of managed fields, the work suitability level estimation process is executed,
Based on the area information and the resource information, the plurality of management fields are classified so that the farm work in each of the plurality of management field groups by the resource is completed within one unit period. Generate a plurality of management field groups consisting of fields,
For each of the plurality of unit periods, based on the determined work suitability curve, calculate the work suitability of each of the plurality of management field groups,
The work appropriateness of each of the plurality of management field groups is the sum of the work appropriateness of the management fields constituting the management field group,
The farm work plan support method includes:
The farm work plan support device,
Generating a plurality of farm work plan candidates indicating a management field group in which farm work is performed in each of the plurality of unit periods;
For each of the plurality of farm work plan candidates, specify the work suitability of a unit period in which each of the plurality of managed farm groups is farmed, and calculate the total value of the identified work suitability,
Based on the calculated total value, select a farm work plan from the plurality of farm work plan candidates,
A farm work plan support method for outputting the selected farm work plan to the display device. A farm work plan support method according to claim 12,
The farm work plan support device further holds movement cost information indicating a movement cost of the resource between the plurality of managed fields,
The farm work plan support method includes:
The farm work plan support device,
For each of the plurality of farm work plan candidates, with reference to the movement cost information, calculate a total value of the movement costs between the management field groups according to the circulation order of the management field groups indicated by the farm work plan candidates, and calculate the work suitability calculated Calculate the difference by subtracting the total value of the calculated travel costs from the total value of degrees,
A farm work plan support method for selecting a farm work plan from the plurality of farm work plan candidates based on the calculated difference. A farm work plan support method according to claim 12,
The farm work plan support method includes:
The farm work plan support device,
Based on the area information and the resource information, the plurality of management fields are classified so that the farm work in each of the plurality of management field groups by the resource is completed within one unit period. Generate multiple management field group candidates consisting of fields,
For each of the plurality of management field group candidates, select a management field having a high work suitability compared to a predetermined condition, determine a work target management field group composed of the selected management field,
The farm work plan support method, wherein the plurality of management farm field groups includes the determined work target management farm group.

Images