JP6685856B2 - Farm work plan support device and farm work plan support method - Google Patents

Description

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

  As a background art in this technical field, there is JP-A 2007-310463 (Patent Document 1). In this publication, "the first step of recognizing the growing state of a crop variety in a managed field based on the wavelength component of satellite image data obtained by capturing an area including the managed field and the growing state of the crop variety The database storing the work conditions and the work contents is searched for whether the work conditions corresponding to the growth state of the crop variety recognized in the first step are stored, and if the work conditions are stored, the work conditions are The second step of reading out the work contents stored in association with each other and outputting the work contents for each managed farm field is supported to support the agricultural work in the managed farm field. ”(See summary). .

JP, 2007-310463, A

  The technique described in Patent Document 1 estimates an appropriate timing for performing agricultural work, but does not provide information about loss and the like when performing agricultural work at a timing other than the appropriate timing. For example, it is not always possible to execute agricultural work at the appropriate timing due to the limitation of resources for executing agricultural work.

  Therefore, the technique described in Patent Document 1 cannot support the generation of the farm work plan when the farm work cannot be executed at the appropriate timing. Then, one mode of the present invention aims at estimating the change of work adequacy of agricultural work in a management field.

  In order to solve the above problems, one embodiment of the present invention adopts the following configurations. A farm work plan support device for supporting generation of a plan for farm work in a managed 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 field state, and The image characteristic amount of the managed field, the combination of the work content of the agricultural work and the state of the field, and the work adequacy curve showing the correspondence of the work adequacy curve showing the transition of the work adequacy, are held, and the processor is , The work adequacy estimation process is performed on the management field, and in the work adequacy estimation process, the input of the work content of the agricultural work is received, the image feature amount indicated by the feature amount information, and the image feature amount of the management field. , And the state of the managed field is estimated, and the work adequacy corresponding to the combination of the work content received the input and the estimated state is estimated by referring to the work adequacy 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 adequacy of agricultural work in a managed field. Problems, configurations, and effects other than those described above will be clarified by the following description of the embodiments.

3 is a block diagram showing a configuration example of a farm work plan support system in Example 1. FIG. 3 is an example of a managed field DB in the first embodiment. 3 is an example of a map DB in the first embodiment. 3 is an example of an agricultural work DB in the first embodiment. 3 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 the first embodiment. 3 is an example of a spectrum DB in the first embodiment. 5 is a flowchart illustrating an example of work adequacy calculation in the first embodiment. FIG. 5 is an explanatory diagram showing an example of a method for estimating a managed field state from a spectrum feature amount in the first embodiment. 5A is a first example of a work adequacy curve in agricultural work in Embodiment 1. FIG. 5 is a second example of a work adequacy curve in agricultural work in Embodiment 1. FIG. 6 is an example of a display screen that displays the work adequacy in the first embodiment. It is a block diagram which shows the structural example of the farm work plan support system in Example 2. 9 is a flowchart illustrating an example of work plan determination processing according to the second embodiment. FIG. 9 is an explanatory diagram showing an example of an area group consisting of one or more managed fields in Example 2. FIG. 10 is an explanatory diagram showing an example of a work plan determination method in the second embodiment. It is a block diagram which shows the structural example of the farm work plan support system in Example 3.

  Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings. It should be noted that the present embodiment is merely an example for realizing the present invention and does not limit the technical scope of the present invention. In each drawing, the same reference numerals are attached to the common components.

  The present embodiment describes an agricultural work plan support device that supports the generation of agricultural work plans for a plurality of managed fields. The agricultural work plan support apparatus calculates the work adequacy of each day in each managed field using, for example, the managed field information and the managed field status obtained by analyzing the aerial image. Aerial images are spectral images of one or more bands taken from an aerial platform such as a satellite or aircraft. By analyzing the aerial image, it is possible to determine the work route in consideration of the conditions of all the managed fields within the aerial image range.

  Seeding, rice planting, pest control, pesticide application, fertilizer application, harvesting and agricultural surveys are all examples of agricultural work. The managed field status is, for example, a status determined from the appearance (aerial image) of the managed field in the present embodiment, such as the progress of agricultural work, the growth rate, poor growth, lodging, and pest occurrence in the managed field. The managed field information is information that is input without using the appearance (aerial image) of the managed field in the present embodiment, such as the crops planted in the managed field and the area of the managed field.

  FIG. 1 is a block diagram showing a configuration example of the farm work plan support system of the present embodiment. The farm work support system includes a farm work plan support apparatus 100 and one or more management terminals 200, which are 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 the program stored in the memory 133. The memory 133 includes a ROM which is a non-volatile storage element and a RAM which is a volatile storage element. The ROM stores an immutable program (for example, BIOS) and the like. 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 and 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 may be stored in the memory 133. 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 to which a keyboard 137, a mouse 138, etc. are connected and which receives an input from an operator. The output interface 136 is an interface to which a display 139, a printer and the like are connected and which outputs the execution result of the program in a format that can be visually recognized by the operator.

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

  The program executed by the processor 131 is provided to the agricultural work plan support apparatus 100 via a removable medium (CD-ROM, flash memory, etc.) or a network, and stored in a non-volatile auxiliary storage device 132 which is a non-temporary storage medium. Is stored. Therefore, the farm work plan support apparatus 100 preferably has an interface for reading data from the removable medium.

  The farm work plan support apparatus 100 is a computer system physically configured on one computer or on a plurality of logically or physically configured computers, and operates on separate threads on the same computer. Alternatively, it may operate on a virtual computer constructed 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 adequacy 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 adequacy calculation program loaded in the memory 133 to perform work. It functions as the adequacy calculation unit 110. The same applies to the other units included in the processor 131.

  The data receiving unit 107 transmits the 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. The data receiving unit 107 and the data transmitting unit 113 may be integrally configured as a data transmitting / receiving unit. In the following description of the processing performed by the farm work plan support apparatus 100, the description of the processing performed by the data receiving unit 107 and the data transmitting unit 113 will be omitted.

  The aerial image analysis unit 109 estimates, for example, the 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 managed field condition estimation unit 122. The spectrum calculation unit 121 calculates, for example, a spectrum feature amount, which is an example of the image feature amount of the aerial image data of each management target field. The management field state estimation unit 122 estimates the state of each management field, for example, using the spectrum feature amount calculated by the spectrum calculation unit 121. The work adequacy calculation unit 110 calculates the work adequacy on each day using the managed farm field state estimated by the aerial image analysis unit 109.

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

  The auxiliary storage device 132 holds a managed field DB (DataBase) 102, a map DB 103, an agricultural 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 addition, in the present embodiment, the auxiliary storage device 132 may not 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 represented by any data structure without depending on the data structure. For example, a properly selected data structure 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 by the auxiliary storage device 132 is represented by a table structure is shown.

  The management terminal 200 is composed of, for example, a computer including a processor, a memory, an auxiliary storage device, a communication interface, an input interface, and an output interface. For example, the management terminal 200 is a portable terminal having a position information acquisition function. Further, 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 and a speaker, and outputs and presents information to the output device.

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

  The coordinate data column 202 stores coordinates that specify the position of each managed field. For example, when the managed 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. Further, for example, when the managed field is specified by a circle, the coordinate data column 202 stores, for example, the center coordinate and radius. Further, the coordinate data column 202 may store only representative points such as the center of gravity of the managed field. The coordinates in the present embodiment are, for example, values represented by latitude and longitude used in the world geodetic system.

  The crop column 203 stores the name of the crop planted in the managed field. The product type column 204 stores the product type name of the crop. In addition, in this embodiment, one variety shall be cultivated 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 managed field.

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

  The used resource column 302 stores the name of the resource that moves on the route. The distance column 303 stores the moving distance when the resource moves on 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 starting point (xa, ya) to the point (xb, yb). However, it is a route that goes straight from the point (xb, yb) to the end point (xc, yc). Further, the route stored in the route information column 304 may include a curve, and in this case, the route information column 304 stores, for example, a function that specifies the curve.

  In the present embodiment, the distance varies depending on the resources used even when moving between the same managed fields. This is because, for example, a combine needs to move along a road, but a squadron such as a UAV (Unmanned Area Vehicle) does not need to move along the road. It should be noted that although the present embodiment describes an example in which there is one type of route from a managed farm field having one resource to another managed farm field, a plurality of types of routes from a managed farm field having one resource to another managed farm field are described. 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 column 401, a work content column 402, a used resource column 403, an hourly work area column 404, an hourly moving cost during working column 405, an hourly managed field moving cost field 406, and a managed field moving speed. Includes column 407.

  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 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 in the case where the corresponding used resource performs the corresponding work content on the corresponding work target.

  The hourly in-work moving cost column 405 stores the hourly in-work moving cost when the corresponding resource uses the corresponding work target to perform the corresponding work content. The hourly managed field transfer cost column 406 stores the hourly managed field transfer cost of the corresponding use resource. The hourly work area column 404 stores the movement speed between the managed 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”. The money required for the movement is an example of the movement cost. Further, the movement cost may be represented by, for example, the amount of fuel required for movement or the like. A plurality of pieces of resource information may be stored for one combination of the work target and the work content. Specifically, for example, a plurality of resources may be used for “harvesting” of “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 rain work availability column 504, and a used time column 505. The resource column 501 stores the name of the resource. The quantity column 502 stores the possessed quantity of the corresponding resource. The available period column 503 stores the available period of the corresponding resource.

  The rain work availability column 504 stores the rain work availability of the corresponding resource. The usage time column 505 stores the maximum usage time of the corresponding resource in a unit period (one day in this embodiment). In the present embodiment, an example in which the unit period is one day will be described, but another period may be used as the unit period. The resource DB 105 manages resources having different capacities (available machine availability period, availability of rainy work, usage time, etc.) in different records. If there is a combine that allows rainy work and a combine that does not allow rainy work, 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 managed 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, an area column that stores the name of the area, instead of the managed field ID column 601. In this case, the correspondence between the area name and the managed 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 field 604 stores the average temperature. When the value of the date column 602 is a future date, the weather column 603 corresponding to the date column stores the expected weather, and the average temperature column 604 stores the estimated 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 used 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 the 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 field 703 stores the name of the sensor used to capture the corresponding aerial image. The 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. The aerial image DB 108 may further hold the spectral feature amount of 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 used sensor column 803, and a feature amount vector column 804. It includes a red spectrum column 805 and a near infrared spectrum column 806. The crop column 801 stores the name of the crop. The class column 802 stores the state of the crops planted in the managed field. The used sensor column 803 stores the name of a sensor that captures an image to be described later.

  The feature amount vector column 804 stores each element of the feature amount vector used for estimating the managed field state. In addition, the element of the said feature-value vector contains the feature-value regarding each of 1 or more types of spectra. The elements of the feature amount vector may further include weather information such as precipitation and average temperature, and information such as the type of crop. For example, when the element of the feature amount vector includes precipitation amount information, it is desirable that the value of the class column 802 when the precipitation amount is equal to or more than a predetermined value is a class indicating that there is a large amount of precipitation, such as “precipitation”. This is because it is not easy to directly infer the state of the managed field from the image when the amount of precipitation is very large.

  In the example of FIG. 8, the feature amount vector column 804 includes a red spectrum column 805 and a near infrared spectrum column 806 which are elements of the feature amount 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 reflectance instead of spectrum intensity. Further, a value obtained by combining two or more values such as spectrum intensity and reflectance may be stored in each spectrum field. Hereinafter, in the present embodiment, unless otherwise specified, the feature amount vector includes 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 work adequacy calculation. First, the data receiving unit 107 receives input of managed farm field information, work period, and work content from, for example, the management terminal 200 or the like (S901). Note that the managed field information includes, for example, information on crops or varieties that are planted, progress information on agricultural work, and the like. Specifically, the managed farm field information includes information stored in the managed farm field DB 102, the weather DB 106, and the spectrum DB 114. It should be noted that each DB may hold the managed field information before the processing of step S901. Further, the data receiving unit 107 stores the input managed farm field information in the corresponding DB in step S901.

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

  Subsequently, the managed field status estimation unit 122 estimates the status of each managed field using the calculated feature amount regarding the spectrum (S903). Specifically, the managed field status estimation unit 122 estimates the class to which each managed field belongs. Hereinafter, the method of estimating the state of each managed field will be described with reference to FIG.

  FIG. 10: is explanatory drawing which shows an example of the method of estimating a management farmland state from a spectrum feature-value. FIG. 10 shows a feature amount space having a feature amount used for estimating the state of the managed field as an axis. In the example of FIG. 10, the characteristic amount a (red spectrum intensity in the present embodiment) and the characteristic amount b (intensity of the near-infrared spectrum in the present embodiment) are used for estimating the control field where the crop A is planted. Hereinafter, the processing for the crop A will be described, but the managed field state estimation unit 122 executes the following processing for all the crops stored in the crop column 801 of all the spectrum DB 114.

  First, the managed field state estimation unit 122 refers to the spectrum DB 114, extracts a feature quantity vector corresponding to a record in which the value of the crop column 801 is the crop A, and plots it on the feature quantity space. Note that the managed field state estimation unit 122 may plot only the feature vector of the class corresponding to the work content input in step S901 on the feature space. The correspondence is predetermined, for example. For example, with respect to the work content of “harvest”, a class of “accumulation” that leads to deterioration of the quality of crops is predetermined. When the used sensors corresponding to the extracted feature amount vector are different, the managed farmland state estimation unit 122 may standardize the feature amount vector and then plot it on the feature amount space.

  The lodging cluster 1001 in the example of FIG. 10 is a cluster that includes, from among the extracted feature vectors, a feature amount vector whose class is “Loop”. The lodging cluster 1001 is a cluster that includes, from among the extracted feature vectors, a feature amount vector whose class is “Loop”. Similarly, the cluster 102 before the appropriate harvest date is a cluster including the feature amount vector whose class is “10 days before the optimal harvest date” among the extracted feature vectors, and the cluster 1003 two days before the appropriate harvest date is a cluster of the extracted feature vectors. Among them, it is a cluster including a feature amount vector whose class is “two days before the appropriate harvest time”.

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

  Further, the managed farmland state estimation unit 122 specifies, for example, the spectrum feature amount of which the shooting date and time is the predetermined period, from the spectrum feature amount of the image calculated in step S902. The predetermined period is, for example, the day when step S902 is performed, the start date of the work period, or the like. The managed field status 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 cultivated among the identified spectral feature values. Further, the spectrum feature amount in each managed field is specified, and the feature amount vector having the specified spectrum feature amount as an element is generated.

  Note that the managed field state estimation unit 122 may standardize each feature amount vector when the used sensor corresponding to the image data from which the identified spectral feature amount is calculated is different. The managed farm field state estimation unit 122 generates, for each managed farm field on which the crop A is planted, for example, a representative feature amount vector in the managed farm field. For example, the average value of the feature amount vectors in a certain managed field where the crop A is planted is an example of the representative feature amount vector in the managed field.

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

  In addition, the managed farmland state estimation unit 122 calculates a representative feature amount vector (a representative feature amount vector calculated from the feature amount vector before the standard when the feature amount vector is standardized) for each representative feature amount vector. Even if the value of the class corresponding to the representative characteristic amount is stored in the column 804, the used sensor corresponding to the representative characteristic amount is stored in the used sensor column 803, and the value “Crop A” is stored in the column 801 in the column 804. Good.

  If the representative feature amount vector does not belong to any cluster, the managed field state estimation unit 122 estimates that the class of the managed field corresponding to the representative feature amount vector is unknown, and the estimated result is the management terminal 200. May be notified. Further, when the representative feature amount vector does not belong to any cluster, the managed field state estimation unit 122 determines that the cluster having the closest distance to the representative feature amount vector (if there are a plurality of clusters having the closest distance, It may be considered that the representative feature amount vector belongs to the one selected cluster).

  The example in which the managed field state estimation unit 122 calculates the representative feature quantity vector and estimates the class of each managed farm field from the representative feature quantity vector has been described, but each feature quantity vector is plotted on the feature quantity space. After specifying the class corresponding to each feature amount vector, the class of each managed field may be estimated using each specified class. For example, the managed field status estimation unit 122 may estimate the class with the highest appearance frequency among the classes corresponding to the feature amount vectors of each managed field as the class of the managed field.

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

  The work adequacy calculating unit 110 acquires, for example, a work adequacy curve corresponding to a combination of the work content and the class of the management field, for each of the management fields. The work adequacy curve is a curve showing the transition of the work adequacy. In addition, the correspondence between the combination of the work content and the class of the managed field and the work adequacy curve is, for example, predetermined. Further, the work adequacy calculation unit 110 may correct the acquired work adequacy curve using the information in the weather DB 106. In the present embodiment, the work adequacy 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 adequacy curve in agricultural work. FIG. 11A illustrates an example in which the work adequacy is (harvest amount) × (unit price of harvest). The work adequacy curve is, for example, a curve showing a function having date as an independent variable and work adequacy as a dependent variable. It should be noted that the date at the origin, that is, the start point of the adequacy calculation is the date corresponding to the estimated state of the managed field.

  The work adequacy curve 1101 is an example of a work adequacy curve corresponding to a managed field whose class is “appropriate harvest time”. In the management field, since the proper harvest time is at the start time, the work appropriateness curve 1101 has the highest work suitability for a certain period from the start time, and after the certain period elapses, for example, the quality of the harvested product. Is lower, the workability is lower. In the work adequacy curve 1102, the work adequacy is increased, for example, because the harvest amount is improved after 10 days, which is an appropriate harvest period. Also in the work adequacy curve 1102, the work adequacy decreases after a lapse of a certain period from the start of the appropriate harvest period.

  Note that, for example, as the work adequacy for harvesting, for example, an integrated temperature from the start of a predetermined growth stage may be used. The cumulative temperature is the sum of the daily average temperatures from the recording start date to the recording end date. For example, the heading period is an example of the predetermined growth stage. For example, the work adequacy calculation unit 110 estimates the start date of the heading period of each managed field, and refers to the weather DB 106 to calculate the integrated temperature from each sunrise period in each managed field. The upper limit of the integrated temperature may be a predetermined harvest appropriate integrated temperature. The proper harvesting cumulative temperature differs depending on the type of crop, variety, cultivation area, etc., and is preset by the user.

  FIG. 11B is a second example of the work adequacy curve in agricultural work. The work adequacy curve 1103 is an example of the work adequacy curve that corresponds to the managed field where the class is “Loop” and is corrected by the rainfall forecast. In a managed field where the crops have lodged, the rains submerge the crops in water, significantly reducing the quality of the crop. Therefore, in the work adequacy curve 1103, the work adequacy ahead of the day on which rainfall is expected sharply drops.

  The work adequacy curve 1104 is a work adequacy curve 1104 corresponding to a managed field whose class is “fallen” when it does not rain. In calculating the work adequacy, the work adequacy calculation unit 110 first selects the work adequacy curves 1104 corresponding to the “harvest” and “lost” classes. Next, the work adequacy calculation unit 110 refers to the weather DB 106, for example, and multiplies the work adequacy represented by the work adequacy curve 1104 by a constant number after the day when rainfall is expected to obtain the work adequacy curve 1104. By performing the correction, the work adequacy 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.

  The work adequacy calculation unit 110 may weight the calculated work adequacy. The work adequacy calculation unit 110 acquires the area of each management field from the management field DB 102, multiplies the calculated work adequacy by the area of the management field corresponding to the work adequacy, and calculates the management field with a large area. Weighting may be performed so that the work adequacy is preferentially increased. In addition, for example, the user inputs the past harvest amount or the like of each managed field to the agricultural work plan support apparatus 100 via the management terminal 200 or the like, and the work adequacy calculation unit 110 weights the harvest amount or the like. May be used for.

  Further, the work adequacy calculation unit 110 may change the work adequacy correction method according to the purpose of agricultural work and the type of work adequacy. Specifically, for example, when the agricultural work is harvesting of a crop for sale and the work adequacy is an index indicating the quality of the harvested product, the work adequacy calculation unit 110 sets a predetermined value in the work adequacy curve. All work adequacy that is less than or equal to the threshold value may be corrected to a predetermined value (for example, 0). When the work adequacy indicating the quality is equal to or lower than the threshold, the work appropriateness calculation unit 110 corrects the work adequacy curve in this manner, and thus the harvest is not suitable for sale. It can be determined that there is no.

  Hereinafter, an example of the work adequacy when the farm work is the “agricultural survey” will be described. In step S903, the managed farmland state estimation unit 122 generates a representative feature amount vector in the same manner as the method described above. In addition, for example, for each managed farm, the managed farm field state estimation unit 122 calculates the distance between the representative feature quantity vector of the managed farm and each feature quantity vector of the spectrum DB 114. Note that the managed field status estimation unit 122 calculates, for each managed field, only the distance between the representative feature value vector of the managed field and each feature vector corresponding to the crop planted in the managed field of the spectrum DB 114. You may.

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

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

  The work adequacy calculation unit 110 calculates the work adequacy as the work adequacy for the agricultural survey, and thereby the work adequacy of the managed field having features that are not similar to the feature amount recorded in the spectrum DB 114. As a result, the user can collect the data of the managed field having various characteristics.

  FIG. 12 is an example of a display screen that displays the work adequacy. The display screen 1200 is a screen in which the work adequacy is displayed on the image. The display screen 1200 includes work adequacy display areas 1201 to 1203. The work adequacy display area 1201 displays, for example, an aerial image showing the work adequacy of each managed field on the first day of the work period. In the example of FIG. 12, on the first day of the work period, the work adequacy of the managed field having the managed field ID 1 is 5 points, and the work adequacy of the managed field having the management field ID 2 is 5 points, the managed field The work adequacy of the managed field having an ID of 3 is 1 point.

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

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

  The display screen 1200 may have a work adequacy display area corresponding to all days of the work period, or corresponds to a part of the work period determined according to an instruction from the user. It may have only the work adequacy display area.

  Hereinafter, an example of a method of generating the display screen 1200 will be described. The work adequacy calculation unit 110 refers to the coordinate data field 202 of the managed field DB 102 and the coordinate data field 702 of the aerial image DB 108 to acquire image data including all managed fields from the aerial image DB 108. The work adequacy calculation unit 110 refers to the coordinate data column 202 of the managed field DB 102 and displays the work adequacy on the first day of the work period in each managed field on the obtained aerial image, thereby performing the work adequacy. The display content of the display area 1201 is generated.

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

  As described above, the farm work plan support system of the present embodiment can calculate the work adequacy of each managed field on each day using the aerial image. Further, since the farm work plan support apparatus 100 calculates the work adequacy using the aerial image, it is physically and physically monitored by a person or installed with a sensor in each managed field, such as large-scale farming. It is especially effective when cost is difficult. Moreover, the farm work plan support system of the present embodiment can more accurately calculate the work adequacy by considering the weather information.

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

  FIG. 13 is a block diagram showing a configuration example of the farm work plan support system in this 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 unit 115 calculates the movement cost in agricultural work. The work plan determination unit 112 includes, for example, a work plan executability determination unit 123 and a work plan adequacy calculation unit 124, and determines the feasibility and adequacy of the work plan. The work plan determination unit 116 includes, for example, an agricultural work region classification unit 125, an intra-region 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 showing an example of the work plan determination process. First, the data receiving unit 107 receives input of managed farm field information, work period, work content, and resource information from, for example, the management terminal 200 (S1401). The resource information is information input to the resource DB 105. The resource DB 105 may hold resource information in advance before the process of step S1401. Then, the processing of steps S902 to S904 is executed. Subsequently, the agricultural work area classification unit 125 classifies the managed farm field group including the managed farm fields into one or more areas (S1405).

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

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

  First, the work plan executability determination unit 123 specifies, from the agricultural work DB 104, the resource used for the work content input in step S1401, the hourly work area, and the hourly managed farmland movement speed. The work plan executability determining unit 123 acquires the quantity and the usage time of the resources included in the work period whose usable period is input in step S1401 among the identified used resources. The resource is a resource used in the farm work.

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

  Further, the work plan executability determination unit 123 calculates the total area of the managed field in the area with reference to the managed field DB 102, and determines the total area of the managed field and the hourly work area of the resource to perform the agricultural work in the area. This time is calculated. The work plan executability determination unit 123 determines that the agricultural work in the area is not completed in one day when the sum of the time required for the agricultural work in the area and the moving time of the resource exceeds the usage time of the acquired resource. To do. The work plan executability determination unit 123 determines that the agricultural work in the area is completed in one day when the sum of the time required for the agricultural work in the area and the travel time of the resource is equal to or less than the usage time of the acquired resource.

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

  FIG. 15 is an example of an area group including one or more managed fields. The area 1501, the area 1502, and the area 1503 each include one or more managed farm fields, and are areas where agricultural work in the area is completed in one day.

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

  FIG. 16 is an explanatory diagram showing an example of the work plan determination method. FIG. 16 shows an example in which the work period is 3 days and the managed field is divided into three areas, area 1, area 2, and area 3. The work plan adequacy calculating unit 124 calculates, for example, the sum of the work adequacy on the first day of the managed field included in the region 1 calculated in step S904 as the work adequacy on the first day in the region 1. . Similarly, the work plan adequacy calculating unit 124 calculates the work adequacy 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 specifying the distance between the area 1 and the area 2, the area-specific work route determination unit 127 is a record corresponding to the resource used for the agricultural work from the map DB 103, and is a managed field in the area 1 and a managed field in the area 2. Get the distance of the record corresponding to the route of and. The regional work route determination unit 127 determines the minimum distance among the acquired distances as the distance between the area 1 and the area 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 in the same manner.

  Subsequently, the regional work route determination unit 127 acquires, from the farm work DB 104, the hourly inter-managed farm field movement cost and the inter-managed farm field movement speed corresponding to the resources used in the farm work. The regional work route determining unit 127 calculates the travel time between the regions using the inter-managed field movement speed and the distance between the regions, and uses the calculated travel time and the hourly inter-managed field movement cost. , Calculate the travel cost between each area.

  Next, the regional work route determination unit 127 determines a regional work route using the work adequacy of each region on each day and the movement cost between each region. Specifically, for example, the regional work route determination unit 127 determines the interregional migration cost based on the total regional work adequacy when performing agricultural work in different regions on the first day, the second day, and the third day. Calculate the difference obtained by subtracting the total of as the work plan score.

  In the present embodiment, an example in which farm work in one area is performed per day will be described, but farm work in multiple areas may be performed in one day. The area-specific work route determination unit 127 can specify whether the agricultural work is completed in one day or not by performing the same determination as that in step S1406 for each area group including a plurality of areas. When such an area group exists, the agricultural work in the agricultural work plan determined in the example of FIG. 16 is completed within 2 days.

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

  Similarly, the regional work route determination unit 127 calculates the work plan score in all regional patrol orders. The overall work route determination unit 128 determines a predetermined number (for example, one) of work plans in descending order of work plan score. The traveling order of the managed fields in each area is the order in which the movement distance between the fields in the area calculated by the in-area work route determination unit 126 is minimized.

  Returning to the explanation 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 regional work route determination unit 127 provides information indicating to which region each managed field belongs, when and in which area the agricultural work is to be performed, and information indicating the order of traveling of the managed field in each region. Output as a work plan. Further, the regional work route determination unit 127 may also output the work adequacy of each management farm on the work day of the management farm in the work plan.

  In addition, the regional work route determination unit 127 may output the determined work plan together with the work plan score, for example, in the order of the work plan score. Further, the work route determining section 127 for each region may output the work plan on the aerial image, as in the display screen 1200 of FIG. 12.

  The farm work support system of the present embodiment determines a work plan based on the work suitability, the movement cost, and the resource information, thereby satisfying the constraint by the resource and creating a work plan that optimizes the cost and the work appropriateness. You can decide.

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

  FIG. 17 is a block diagram showing a configuration example of the farm work plan support system of this 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 farm field selecting unit 129 selects a management farm field having a high work adequacy from each area.

  When the agricultural work is a harvest amount survey for each area, the work management field selection unit 129 receives, for example, an input of the number of surveyed management fields in each area from the user or the like, and from each area in descending order of work adequacy. Select as many managed fields as there are managed fields. When the number of managed farm fields in the region is less than the number of surveyed managed farm fields, the work managed farm field selection unit 129 selects all the managed farm fields in the region, for example.

  In addition, the work management field selection unit 129 selects the same number of management fields as the number of surveyed management fields from each area so that the value obtained by subtracting the movement cost from the sum of the work adequacy in each area becomes the maximum. Good. In addition, the work management farm field selecting unit 129 may select, for example, a management farm field whose work adequacy is equal to or higher than a predetermined threshold value from each region. The processing from step S1408 is performed on the managed farm field selected by the work management farm field selection unit 129 from each region.

  It should be noted that the present invention is not limited to the above-described embodiments, but includes various modifications. For example, the above-described embodiments have been described in detail in order to explain the present invention in an easy-to-understand manner, 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 / replace other configurations with respect to a part of the configurations of the respective embodiments.

  Further, the above-described respective configurations, functions, processing units, processing means, etc. may be realized by hardware by designing a part or all of them with, for example, an integrated circuit. Further, each of the above-described configurations, functions and the like may be realized by software by a processor interpreting and executing a program for realizing each function. Information such as a program, a table, and a file that realizes each function can be placed 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, and a DVD.

  Further, the control lines and information lines are shown as being considered necessary for explanation, and not all control lines and information lines are shown in the product. In reality, it may be considered that almost all the configurations are connected to each other.

100 farm work plan support device, 102 management field DB, 103 map DB, 104 farm work DB, 105 resource DB, 106 weather DB, 108 aerial image DB, 109 aerial image analysis unit, 110 work adequacy calculation unit, 112 work plan determination unit , 114 spectrum DB, 115 migration 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 memory device,
The storage device is
Feature amount information indicating the correspondence between the image feature amount and the state of the field,
Image feature amount of the management field,
Hold a combination of the work content of the agricultural work and the state of the field, and the work adequacy curve showing the correspondence between the work adequacy curve showing the transition of the work adequacy, and
The processor is
Performing work adequacy estimation processing for the managed field,
In the work adequacy estimation process,
Accept the input of work content of agricultural work,
The image feature amount indicated by the feature amount information and the image feature amount of the management field are compared to estimate the state of the management field,
With reference to the work adequacy information, determine a work adequacy curve corresponding to the combination of the work content received the input and the estimated state,
A farm work plan support device that outputs the transition indicated by the determined work adequacy curve to a display device. The farm work plan support apparatus according to claim 1,
The storage device further holds meteorological information indicating the meteorological condition of the managed field during the work period in the plan,
The processor is
In the work adequacy estimation process,
If the weather indicated by the weather information satisfies a predetermined condition, correct the determined work adequacy curve,
An agricultural work planning support device that outputs the transition indicated by the corrected work adequacy curve to the display device. The farm work plan support apparatus according to claim 2,
The work content is a work of harvesting a crop planted in the control field,
The state of the field indicated by the characteristic amount information includes a lodging state in which a crop in the field has laid down,
The processor is
In the work adequacy estimation process,
When it is determined 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 device that executes a correction to reduce the work adequacy after the date and time of occurrence of rainfall in the determined work adequacy 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 managed field,
The work adequacy curve corresponding to the agricultural survey in the work adequacy information is a straight line indicated by a constant function,
The processor is
In the work adequacy estimation process,
In the estimation of the state of the managed field, the distance between each image feature amount indicated by the feature amount information and the image feature amount of the managed field is calculated,
An agricultural work plan support device that determines a constant in the constant function to be a smaller value as the minimum distance among the calculated distances is larger. The farm work plan support apparatus according to claim 1,
The work period in the plan consists of multiple unit periods,
The storage device further holds area information indicating an area of the managed field, and resource information indicating a working area of a resource used for execution of agricultural work per predetermined time,
The processor is
Performing the work adequacy estimation process for each of the plurality of managed fields,
Generating a plurality of management farm fields consisting of one or more management farm fields from the plurality of management farm fields,
In the generation of the plurality of managed field groups, the plurality of management is performed based on the area information and the resource information so that the farm work by each of the plurality of managed field groups is completed within one unit period. Sort the fields ,
For each of the plurality of unit periods, based on the determined work adequacy curve, calculate the work adequacy of each of the plurality of managed field groups,
The work adequacy of each of the plurality of management field groups is the sum of the work adequacy of the management fields forming the management field group,
The processor is
A plurality of farm work plan candidates are generated, which indicate a group of managed fields where 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 adequacy of the unit period in which each of the plurality of managed farm fields is performed, and calculate the total value of the specified work adequacy,
Based on the calculated total value, from the plurality of farm work plan candidates, select a farm work plan,
A farm work plan support device that outputs the selected farm work plan to the display device. The agricultural 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, referring to the movement cost information, a total value of movement costs between the managed field groups according to the patrol order of the managed field groups indicated by the farm work plan candidate is calculated, and the calculated work adequacy Calculate the difference by subtracting the total value of the movement cost calculated from the total value of degrees,
An agricultural work plan support device that selects an agricultural work plan from the plurality of agricultural work plan candidates based on the calculated difference. The agricultural work plan support device according to claim 5,
The processor is
Generating a plurality of management field group candidates including one or more management fields from the plurality of management fields,
In the generation of the plurality of management field group candidates , based on the area information and the resource information, the plurality of management field group by the resource, in order to complete the agricultural work in each of the plurality of management field group within one unit period Classify managed fields ,
The working suitability of a plurality of management field group candidates each of which selects the management field is above a predetermined threshold, to determine the work object management field group composed of management fields which said selected for the plurality of management each field group candidate ,
The farm work plan support device, wherein the plurality of management farm field groups includes the determined work target management farm field group. The farm work plan support device is a farm work plan support method for supporting generation of a plan for farm work 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,
Image feature amount of the management field,
Hold a combination of the work content of the agricultural work and the state of the field, and the work adequacy curve showing the correspondence between the work adequacy curve showing the transition of the work adequacy, and
The farm work plan support method is
The farm work plan support device,
Performing work adequacy estimation processing for the managed field,
In the work adequacy estimation process,
Accept the input of work content of agricultural work,
The image feature amount indicated by the feature amount information and the image feature amount of the management field are compared to estimate the state of the management field,
With reference to the work adequacy information, determine a work adequacy curve corresponding to the combination of the work content received the input and the estimated state,
A method for supporting agricultural work planning, which outputs the transition indicated by the determined work adequacy curve to a display device. The agricultural work plan support method according to claim 8,
The farm work plan support device further holds meteorological information indicating the weather of the managed field during the work period in the plan,
The farm work plan support method is
The farm work plan support device,
In the work adequacy estimation process,
If the weather indicated by the weather information satisfies a predetermined condition, correct the determined work adequacy curve,
A method for supporting agricultural work planning, which outputs the transition indicated by the corrected work adequacy curve to the display device. The agricultural work plan support method according to claim 9,
The work content is a work of harvesting a crop planted in the control field,
The state of the field indicated by the characteristic amount information includes a lodging state in which a crop in the field has laid down,
The farm work plan support method is
The farm work plan support device,
In the work adequacy estimation process,
When it is determined 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 method for supporting an agricultural work plan, which corrects the work adequacy after the date and time of occurrence of rainfall in the determined work adequacy curve according to a predetermined condition. The agricultural work plan support method according to claim 8,
The work content is an agricultural survey in the managed field,
The work adequacy curve corresponding to the agricultural survey in the work adequacy information is a straight line indicated by a constant function,
The farm work plan support method is
The farm work plan support device,
In the work adequacy estimation process,
In the estimation of the state of the managed field, the distance between each image feature amount indicated by the feature amount information and the image feature amount of the managed field is calculated,
The agricultural work planning support method, wherein the constant in the constant function is determined to be a larger value as the minimum distance among the calculated distances is smaller. The agricultural work plan support method according to claim 8,
The work period in the plan consists of multiple unit periods,
The farm work plan support device further holds area information indicating the area of the managed 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 is
The farm work plan support device,
Performing the work adequacy estimation process for each of the plurality of managed fields,
Generating a plurality of management farm fields consisting of one or more management farm fields from the plurality of management farm fields,
In the generation of the plurality of managed field groups, the plurality of management is performed based on the area information and the resource information so that the farm work by each of the plurality of managed field groups is completed within one unit period. Sort the fields ,
For each of the plurality of unit periods, based on the determined work adequacy curve, calculate the work adequacy of each of the plurality of managed field groups,
The work adequacy of each of the plurality of management field groups is the sum of the work adequacy of the management fields forming the management field group,
The farm work plan support method is
The farm work plan support device,
A plurality of farm work plan candidates are generated, which indicate a group of managed fields where 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 adequacy of the unit period in which each of the plurality of managed farm fields is performed, and calculate the total value of the specified work adequacy,
Based on the calculated total value, from the plurality of farm work plan candidates, select a farm work plan,
A farm work plan support method for outputting the selected farm work plan to the display device. The agricultural work plan support method according to claim 12,
The farm work plan support device further holds movement cost information indicating a movement cost between the plurality of managed fields of the resource,
The farm work plan support method is
The farm work plan support device,
For each of the plurality of farm work plan candidates, referring to the movement cost information, a total value of movement costs between the managed field groups according to the patrol order of the managed field groups indicated by the farm work plan candidate is calculated, and the calculated work adequacy Calculate the difference by subtracting the total value of the movement cost calculated 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. The agricultural work plan support method according to claim 12,
The farm work plan support method is
The farm work plan support device,
Generating a plurality of management field group candidates including one or more management fields from the plurality of management fields,
In the generation of the plurality of management field group candidates , based on the area information and the resource information, the plurality of management field group by the resource, in order to complete the agricultural work in each of the plurality of management field group within one unit period Classify managed fields ,
The working suitability of a plurality of management field group candidates each of which selects the management field is above a predetermined threshold, to determine the work object management field group composed of management fields which said selected for the plurality of management each field group candidate ,
The agricultural work plan support method, wherein the plurality of management farm field groups includes the determined work target management farm field group.

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