Method for managing farming information, farming information management system, and program

Abstract

To efficiently assist a user to accurately manage information about a field.SOLUTION: The method for managing farming information includes: determining a concave field having a recessed portion among at least one field on the basis of first field information indicating the geographical range of the at least one field; determining a division pattern for dividing the concave field into a plurality of regions on the basis of the shape of the determined concave field; generating second field information obtained by dividing the concave field on the basis of the determined division pattern; and outputting the generated second field information.SELECTED DRAWING: Figure 9A

Description

[Technical Field]

[0001] The present invention relates to a farming information management method, a farming information management system, and a program. [Background technology]

[0002] As the informationization of agriculture advances in recent years, technologies for managing the geographical extent and working area of ​​farm fields have been developed. For example, Patent Document 1 discloses a technology for correcting the shape of a registered farm field based on the position information of working equipment. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Publication No. 2023-37741 Summary of the Invention [Problem to be solved by the invention]

[0004] For example, a field with a concave shape, such as an L-shape, a T-shape, or a U-shape, may have multiple regions extending in different directions. In such a field, crops may be cultivated in different ways in different regions, even within the same field. When crop cultivation types differ, the type of crop, the cultivation schedule and fertilizer amount, and the cultivation conditions, such as the furrow spacing and plant spacing, may differ. Therefore, the inventors have discovered that in a concave field, it may be desirable to manage information by dividing the field into regions with different crop cultivation conditions, rather than managing farming information such as the amount of work, work efficiency, and harvest yield on a field-by-field basis.

[0005] The technology of Patent Document 1 cannot divide a single field into multiple areas, even if the shape of the field is changed depending on the area where the work device actually performed the work. However, when a user manually divides a field, the user must first determine which of one or more registered fields should be divided into multiple areas, then determine how to divide the field and perform the division operation. As such, conventional technology may not be able to effectively support users in accurately managing field information.

[0006] In view of the above circumstances, one object of the present disclosure is to effectively support a user in accurately managing information about a farm field. Other objects can be understood from the following description and explanation of the embodiments. [Means for solving the problem]

[0007] The following describes the means for solving the problems using the numbers and symbols used in the description of the invention. These numbers and symbols are added in parentheses for reference purposes to show an example of the correspondence between the claims and the description of the invention. Therefore, the claims should not be interpreted as being limited by the parenthetical descriptions.

[0008] The farming information management method according to the embodiment includes determining, based on first field information (D1) indicating the geographical range of one or more fields (F, F1 to F3), recessed fields (F1 to F3) in which recesses (C1, C2_1, C2_2, C3) are formed among the one or more fields (F, F1 to F3), determining a division pattern for dividing the recessed fields (F1 to F3) into multiple regions based on the shape of the determined recessed fields (F1 to F3), generating second field information in which the recessed fields (F1 to F3) are divided based on the determined division pattern, and outputting the generated second field information.

[0009] A farming information management method according to another embodiment includes determining, based on first field information (D1) indicating the geographical range of one or more fields (F, F1 to F3), recessed fields (F1 to F3) having recessed portions (C1, C2_1, C2_2, C3), from among the one or more fields (F, F1 to F3), and determining the shape of the determined recessed fields (F1 to F3) and the working areas (WA, WA1_1, WA1_2, WA3_1 to WA3_2) where a working implement (30) has worked in the recessed fields (F1 to F3). 3), outputting proposal information to display an image or character string suggesting user input regarding a division pattern for dividing the recessed fields (F1 to F3); acquiring user input information indicating the division pattern for the recessed fields (F1 to F3) input in accordance with the proposal information; generating second field information by dividing the recessed fields (F1 to F3) based on the division pattern indicated by the user input information; and outputting the generated second field information.

[0010] The farming information management system according to the embodiment includes a recessed field determination unit (120) that determines recessed fields (F1 to F3) among one or more fields (F, F1 to F3) in which recesses (C1, C2, C3) are formed based on first field information (D1) that indicates the geographical range of one or more fields (F, F1 to F3), a division determination unit (140) that determines a division pattern for dividing the recessed fields (F1 to F3) into multiple areas based on the shape of the recessed fields (F1 to F3) determined by the recessed field determination unit (120), an update generation unit (160) that generates second field information obtained by dividing the recessed fields (F1 to F3) based on the division pattern determined by the division determination unit (140), and an information output unit (170) that outputs the second field information.

[0011] The program (P1 to P3) according to the embodiment includes causing a computer (14, 24, 34) to determine, based on first field information (D1) indicating the geographical range of one or more fields (F, F1 to F3), recessed fields (F1 to F3) in which recesses (C1, C2_1, C2_2, C3) are formed, among the one or more fields (F, F1 to F3); determining a division pattern for dividing the recessed fields (F1 to F3) into multiple regions based on the shape of the determined recessed fields (F1 to F3); generating second field information in which the recessed fields (F1 to F3) are divided based on the determined division pattern; and outputting the generated second field information. [Effects of the Invention]

[0012] According to the above embodiment, it is possible to efficiently support a user in managing information about a farm field with high accuracy. [Brief explanation of the drawings]

[0013] [Figure 1] FIG. 1 is a block diagram showing the configuration of a farming information management system according to a first embodiment. [Figure 2A] FIG. 2 is a diagram for explaining a depressed field according to the first embodiment. [Figure 2B] FIG. 2 is a diagram for explaining a depressed field according to the first embodiment. [Figure 2C] FIG. 2 is a diagram for explaining a depressed field according to the first embodiment. [Figure 3] FIG. 2 is a diagram for explaining a working area according to the first embodiment. [Figure 4] 1 is a block diagram showing the configuration of a farming information management device according to a first embodiment. [Figure 5] 1 is a block diagram showing the configuration of a terminal device according to a first embodiment. [Figure 6] 1 is a block diagram showing the configuration of a working device according to a first embodiment. [Figure 7] FIG. 1 is a block diagram showing the functional configuration of a farming information management system according to a first embodiment. [Figure 8]3 is a flowchart showing the processing executed by the farming information management system according to the first embodiment. [Figure 9A] 3 is a flowchart showing the processing executed by the farming information management system according to the first embodiment. [Figure 9B] 3 is a flowchart showing the processing executed by the farming information management system according to the first embodiment. [Figure 10A] FIG. 1 is a conceptual diagram for explaining the processing executed by the farming information management system according to the first embodiment. [Figure 10B] FIG. 1 is a conceptual diagram for explaining the processing executed by the farming information management system according to the first embodiment. [Figure 10C] FIG. 1 is a conceptual diagram for explaining the processing executed by the farming information management system according to the first embodiment. [Figure 10D] FIG. 1 is a conceptual diagram for explaining the processing executed by the farming information management system according to the first embodiment. [Figure 11] FIG. 2 is a diagram showing an example of a proposed image displayed by the farming information management system according to the first embodiment. [Figure 12A] 10 is a flowchart showing the processing executed by the farming information management system according to the second embodiment. [Figure 12B] 10 is a flowchart showing the processing executed by the farming information management system according to the second embodiment. [Figure 13] FIG. 10 is a diagram showing an example of a proposed image displayed by the farming information management system according to the second embodiment. [Figure 14] A figure showing an example of a proposed image displayed by a farming information management system related to a modified example. DETAILED DESCRIPTION OF THE INVENTION

[0014] (Embodiment 1) A farming information management system according to an embodiment will be described below with reference to the drawings. As shown in FIG. 1, the farming information management system 1 includes a farming information management device 10, one or more terminal devices 20, and one or more operation devices 30 that perform work in one or more fields F. The farming information management device 10, the one or more terminal devices 20, and the operation devices 30 can communicate with each other via a network NT. The network NT is, for example, the Internet. In addition, the operation devices 30 can receive positioning signals transmitted by positioning satellites GP.

[0015] The work device 30 may be, for example, an agricultural machine capable of working in the field F, such as a tractor, combine, or harvester. The work device 30 may also be an agricultural drone that works in the field F. The work device 30 is equipped with a power source (e.g., an engine or motor) and can move across the field F using power supplied by the power source when it is running. The work device 30 may also stop moving when the power source is stopped. One or more work devices 30 may each perform agricultural work in one or more fields F, with a predetermined working width perpendicular to the direction of travel. As described below, the work device 30 continuously measures its own position based on a positioning signal from a positioning satellite GP. Hereinafter, the position measured by the work device 30 may be referred to as the measured position, the time when the measured position is measured may be referred to as the positioning time, and information indicating the measured position and the positioning time may be referred to as positioning information.

[0016] The farming information management system 1 manages information indicating the geographical extent of one or more fields F (for example, field information D1 in FIG. 7). The farming information management system 1 may also manage information about the work area in which the work device 30 worked within the field F (for example, work area information D2 in FIG. 7), based on positioning information indicating the results of the work device 30 measuring its own position. For example, the farming information management system 1 may manage farming information such as the map position and shape of the field F, the time of work performed in the field F, or the harvest yield per unit area, based on the field information D1.

[0017] In this embodiment, one or more fields F may include a concave-shaped field F (also referred to as a concave field) in which one or more of the multiple corners formed by the outer edges that form the boundary between the inside and outside of the field F are concave angles. An example of a concave field is one that has an L-shaped concave polygonal shape, such as field F1 in FIG. 2A. For field F1, a concave portion C1 can be defined as a portion that is included in the convex hull of all points inside field F1 but is not included in field F1.

[0018] The definition of the concave portions of a concave field (for example, C1, C2_1, C2_2, and C3 in Figures 2A to 2C) will be explained. Here, the convex hull of all points inside the concave field is called the convex hull of the concave field. If the concave field is a concave polygon, the convex hull of the concave field is equal to the convex hull of all vertices of the concave field. In the example of Figure 2A, a concave portion C1 is formed in the field F1, which is recessed with respect to the convex hull of the field F1. The concave portion C1 is bounded by an edge S1_1 formed by vertices V1_1 and V1_2, an edge S1_2 formed by vertices V1_2 and V1_3, and an edge S1_3 formed by vertices V1_3 and V1_1. Of the edges of field F1, edges S1_1 and S1_2 form a concave angle of field F1 (in Figure 2A, the angle has vertex V1_2 as its vertex). On the other hand, edge S1_3 is an edge of the outer edge of the convex hull of field F1 that is different from the edges of field F1. Edges that surround a depression but are not edges of field F, such as edge S1_3, are also called auxiliary edges of the depression.

[0019] The field F1 has an area A1_1 extending in a first direction and an area A1_2 extending in a second direction. One or more ridges R are formed in each of the areas A1_1 and A1_2. The ridges R formed in the area A1_1 extend in the first direction (the up-down direction in the drawing in the example of FIG. 2A), and the ridges R formed in the area A1_2 extend in the second direction (the left-right direction in the drawing in the example of FIG. 2A).

[0020] Here, a crop cultivated in a first cropping type may be planted in the ridges R in area A1_1 of field F1, and a crop cultivated in a second cropping type may be planted in the ridges R in area A1_2. In this embodiment, the cropping type may refer to the entire crop cultivation technique, such as the type of crop cultivated, the farm work schedule, the spacing between crop plants, the amount and timing of fertilization, the cultivation season, and the furrow spacing. Different cropping types may result in differences in one or more of multiple cultivation aspects, such as the type of crop, the crop cultivation density, the amount and timing of fertilization, the cultivation season, and the furrow spacing.

[0021] An example of a concave field is a T-shaped concave polygon, such as field F2 in FIG. 2B. Field F2 has recesses C2_1 and C2_2. Recess C2_1 is surrounded by a side S2_1 formed by vertices V2_1 and V2_2, a side S2_2 formed by vertices V2_2 and V2_3, and a side S2_3 formed by vertices V2_3 and V2_1. The concave corner of field F2 corresponding to recess C2_1 is formed by sides S2_1 and S2_2, with vertex V2_2 as its vertex. Meanwhile, recess C2_2 is surrounded by a side S2_4 formed by vertices V2_4 and V2_5, a side S2_5 formed by vertices V2_5 and V2_6, and a side S2_6 formed by vertices V2_6 and V2_4. The reentrant corner of the field F2 corresponding to the recessed portion C2_2 is formed by the side S2_4 and the side S2_5, and has a vertex V2_5 as its vertex.

[0022] Field F2 has an area A2_1 extending in a first direction and an area A2_2 extending in a second direction. One or more ridges R are formed in each of areas A2_1 and A2_2. The ridges R in area A2_1 extend in a first direction (the up-down direction in the drawing in the example of FIG. 2B), and the ridges R in area A2_2 extend in a second direction (the left-right direction in the drawing in the example of FIG. 2B). Crops cultivated in a first cropping type may be cultivated in the ridges R in area A2_1, and crops cultivated in a second cropping type may be cultivated in the ridges R in area A2_2.

[0023] An example of a concave field is a field F3 in FIG. 2C that has a U-shaped concave polygonal shape. Field F3 has a recess C3. Recess C3 is surrounded by a side S3_1 formed by vertices V3_1 and V3_2, a side S3_2 formed by vertices V3_2 and V3_3, a side S3_3 formed by vertices V3_3 and V3_4, and a side S3_4 formed by vertices V3_4 and V3_1. Field F3 corresponding to recess C3 has two recessed angles: an angle formed by sides S3_1 and S3_2 with vertex V3_2 as its vertex, and an angle formed by sides S3_2 and S3_3 with vertex V3_3 as its vertex.

[0024] Field F3 has an area A3_1 extending in a first direction, an area A3_2 extending in a second direction, and an area A3_3 extending in a third direction. In the example of FIG. 2C, the first and third directions are the up-down direction in the figure, and the second direction is the left-right direction in the figure. One or more ridges R are formed in each of areas A3_1, A3_2, and A3_3. The ridges R in area A3_1 extend in the first direction, the ridges R in area A3_2 extend in the second direction, and the ridges R in area A3_3 extend in the third direction. Crops cultivated using a first cropping type may be cultivated on the ridges R in area A3_1, crops cultivated using a second cropping type may be cultivated on the ridges R in area A3_2, and crops cultivated using a third cropping type may be cultivated on the ridges R in area A3_3.

[0025] As shown in FIGS. 2A to 2C, a recessed field may include multiple regions (for example, regions A1_1, A1_2, A2_1, A2_2, and A3_1 to A3_3 in FIGS. 2A to 2C) each having ridges R extending in different directions. The multiple regions within a single recessed field may cultivate different crops. Hereinafter, when the multiple regions within a recessed field are not to be distinguished from one another, they may be simply referred to as region A.

[0026] As shown in Fig. 3, the implement 30 may perform work while moving over an area A of a field F. In Fig. 3, the position of the implement 30 measured while working in the field F is indicated by a black circle, and the movement trajectory is indicated by a dotted line. As will be described later, the farming information management system 1 manages information about work areas WA (for example, work area information D2 in Fig. 7) in which agricultural work has been performed on crops cultivated with the same cropping type in the current season's cultivation plan. If there are multiple areas A in the same field F (for example, fields F1 to F3, which are recessed fields), where crops are cultivated with different cropping types, the work area information D2 may include information about multiple work areas WA whose geographical ranges roughly coincide with those of each area A.

[0027] Hereinafter, for multiple areas with geographical extents (for example, field F, area A, and work area WA), the geographical extent included in all of the multiple areas may be referred to as a common area, and the entire geographical extent included in any of the areas may be referred to as a merged area.

[0028] As described above, in a recessed field such as fields F1 to F3 shown in FIGS. 2A to 2C, a single field F may contain multiple areas A, each corresponding to a different cropping type. At least some of the agricultural work performed in these areas A may differ. For example, if the spacing between plants or the amount of fertilizer application differs for each area A, the work content and harvest yield per unit area will differ for each area A. This may result in a loss of accuracy in the information when aggregating work efficiency and unit yield for the entire field F. Alternatively, if the work content and date and time differ for each area A, it will be difficult to manage the work schedule for the entire field F. In this way, it may be more convenient for users to manage information about a recessed field for each area A rather than for each field F. In this embodiment, the farming information management system 1 suggests to the user that among the fields F stored in the field information D1, recessed fields such as the L-shaped field F1, the T-shaped field F2, and the U-shaped field F3 be divided into areas A and managed accordingly. Therefore, the farming information management system 1 can efficiently support the user in determining which fields F to divide the information about by closely examining the contents of the field information D1.

[0029] The configuration of the farming information management system 1 will now be described. As shown in Figure 4, the farming information management device 10 included in the farming information management system 1 comprises an input / output device 12, a calculation device 14, a communication device 16, and a storage device 18. The farming information management device 10 is, for example, a computer with server functionality. The functions of the farming information management device 10 may be provided in the cloud via a network NT.

[0030] Information for the arithmetic device 14 to execute processing is input to the input / output device 12. The input / output device 12 also outputs the results of processing executed by the arithmetic device 14. The input / output device 12 includes various input devices and output devices, such as a keyboard, a mouse, a microphone, a display, a speaker, and a touch panel.

[0031] The communication device 16 is communicatively connected to the network NT and communicates with devices external to the farming information management device 10 (e.g., terminal devices 20 and work devices 30) via the network NT. The communication device 16 transfers information acquired from external devices to the calculation device 14. It also transfers information generated by the calculation device 14 to external devices. The communication device 16 includes various interface devices with data communication functions, such as a NIC (Network Interface Card) and a USB (Universal Serial Bus).

[0032] The storage device 18 stores a program P1 and other data including various data and instructions for the farming information management device 10 of this embodiment to execute the processes described below. The storage device 18 is used as a non-transitory tangible storage medium for storing these data and instructions. The program P1 may be provided as a computer program product recorded on a computer-readable storage medium M1. The storage medium M1 may be a portable physical medium such as a CD (Compact Disc), a DVD (Digital Versatile Disc), or a USB (Universal Serial Bus) memory. Alternatively, the storage medium M1 may be a storage device of an external server that stores the program P1. In this case, the program P1 may be provided as a computer program product that can be downloaded from the server.

[0033] The arithmetic device 14 reads and executes a program P1 including instructions and data for executing at least a part of the processing described below from the storage device 18. The arithmetic device 14 includes, for example, a central processing unit (CPU).

[0034] As shown in Fig. 5, the terminal device 20 included in the farming information management system 1 includes an input / output device 22, a calculation device 24, a communication device 26, and a storage device 28. The terminal device 20 is, for example, a mobile device such as a tablet or a smartphone. The terminal device 20 may also be a stationary personal computer or a notebook computer.

[0035] Information for the arithmetic device 24 to execute processing is input to the input / output device 22. Furthermore, the input / output device 22 outputs the results of processing executed by the arithmetic device 24. The input / output device 22 includes various input devices and output devices. Furthermore, the input / output device 22 includes a touch panel or display that functions as a screen S on which the trajectory of the working device 30 is displayed. In cases where the terminal device 20 is a personal computer, the input / output device 22 may include a keyboard, a mouse, a microphone, etc.

[0036] The communication device 26 is communicatively connected to the network NT and communicates with devices external to the terminal device 20 (e.g., the farming information management device 10) via the network NT. The communication device 26 transfers information acquired from the external devices to the calculation device 24. It also transfers information generated by the calculation device 24 to the external devices. The communication device 26 includes various interface devices with communication functions, such as transceivers used for wireless communication such as wireless LANs (Local Area Networks) and cellular networks.

[0037] The storage device 28 stores a program P2 and other data including various data and instructions for the farming information management system 1 of this embodiment to execute the processes described below. The storage device 28 is used as a non-transitory storage medium for storing these data and instructions. The program P2 may be provided as a computer program product recorded on a computer-readable storage medium M2. The storage medium M2 may be a portable physical medium such as a CD, DVD, or USB memory. Alternatively, the storage medium M2 may be a storage device of an external server that stores the program P2. In this case, the program P2 may be provided as a computer program product that can be downloaded from the server.

[0038] The arithmetic unit 24 reads and executes a program P2 including instructions and data for executing at least a part of the processing described below from the storage device 28. For example, the arithmetic unit 24 includes a central processing unit (CPU) and the like.

[0039] As shown in FIG. 6, the maintenance device 30 includes an input / output device 32, a calculation device 34, a communication device 36, a storage device 38, and a positioning device 39.

[0040] Information for executing processing by the arithmetic unit 34 is input to the input / output device 32. The input / output device 32 also outputs the results of processing executed by the arithmetic unit 34. The input / output device 32 may also include various input and output devices, such as a speaker, a touch panel, a keyboard, a mouse, a microphone, and a display.

[0041] The communication device 36 is communicatively connected to the network NT and communicates with devices external to the work device 30 (for example, the farming information management device 10) via the network NT. The communication device 36 transfers information acquired from the farming information management device 10 to the calculation device 34. It also transfers information generated by the calculation device 34 to the farming information management device 10. The communication device 36 includes various interface devices with wireless communication capabilities, such as a transceiver for a cellular network or a wireless LAN.

[0042] The storage device 38 stores a program P3 including various data and instructions for the farming information management system 1 of this embodiment to execute the processes described below. The storage device 38 is used as a non-transitory storage medium for storing this data and instructions. The program P3 may be provided as a computer program product recorded on a computer-readable storage medium M3. The storage medium M3 may be a portable physical medium such as a CD, DVD, or USB memory. Alternatively, the storage medium M3 may be a storage device of an external server that stores the program P3. In this case, the program P3 may be provided as a computer program product that can be downloaded from the server.

[0043] The positioning device 39 continuously measures the position of the working device 30. The positioning device 39 is, for example, a GNSS (Global Navigation Satellite System) receiver that receives positioning signals from positioning satellites GP and measures the position and positioning time of the working device 30. Alternatively, the positioning device 39 may measure the position of the working device 30 by self-position estimation using a quantum compass. Furthermore, the positioning device 39 may measure the position of the working device 30 using other known positioning methods, such as the RTK (Real Time Kinematic)-GNSS method or the BLE (Bluetooth (registered trademark) Low Energy) beacon method.

[0044] The arithmetic device 34 reads and executes a program P3, which includes instructions and data for executing at least a portion of the processing described below, from the storage device 38. For example, the arithmetic device 34 includes a central processing unit (CPU). The arithmetic device 34 may be, for example, an ECU (Electronic Control Unit) that is incorporated into the working device 30 and controls each part of the working device 30.

[0045] Next, the functions of the farming information management system 1 will be described with reference to Fig. 7. The operation device 30 realizes the functions of the sampling unit 310 and the output unit 320 in Fig. 7 by the calculation device 34 in Fig. 6 executing the program P3.

[0046] As will be described later, the sampling unit 310 of the task device 30 continuously measures the position and time of the task device 30 at a predetermined timing (for example, every minute) while the power source of the task device 30 is activated, using the positioning device 39. The sampling unit 310 generates positioning information indicating the measured position and time (i.e., the measured position and time of the task device 30).

[0047] The output unit 320 of the operation device 30 transmits the positioning information generated by the sampling unit 310 to the farming information management device 10 using the communication device 36. The positioning information output by the output unit 320 may include information (e.g., an identifier) ​​that identifies the operation device 30.

[0048] The farming information management device 10 of the farming information management system 1 realizes the functions of the information acquisition unit 110, depressed field determination unit 120, candidate determination unit 130, division determination unit 140, proposal unit 150, update generation unit 160, information output unit 170, information storage unit 180, and area determination unit 190 shown in Figure 7 by the calculation device 14 of Figure 4 executing program P1.

[0049] The information storage unit 180 stores information for the farming information management device 10 to execute processing. For example, before starting the processing of FIG. 8 described later, the information storage unit 180 stores field information D1 and a learning model AI. Furthermore, before starting the processing of FIGS. 9A to 9B, the information storage unit 180 stores work area information D2 in addition to the field information D1 and the learning model AI. In this embodiment, the work area information D2 is generated by the processing of FIG. 8. Furthermore, the information storage unit 180 may store setting information such as thresholds used in the processing described later. Furthermore, the information storage unit 180 may store, for each of one or more work devices 30, information indicating the work width when the work device 30 performs work.

[0050] The field information D1 stores information indicating the geographical range of one or more fields F. For example, the field information D1 may include information indicating the position of each vertex of a polygonal field F (e.g., latitude and longitude). For a concave field F, the field information D1 may also include information indicating which vertices are connected by sides and the connection relationships between the vertices. The field information D1 may also store a map image of the geographical range including one or more fields F.

[0051] The work area information D2 stores information indicating the geographical range of the work area WA in one or more fields F. For example, the work area information D2 may include information indicating the position of each vertex of the polygonal work area WA (e.g., latitude and longitude). The work area information D2 may also store information indicating which field F each work area WA is included in (e.g., the identifier of the field F).

[0052] The learning model AI is a machine learning model trained using a template of a concave shape that is the target of the segmentation process in this embodiment. The learning model AI may be, for example, a model realized using technologies such as neural networks or deep learning, trained using training data including data (e.g., data indicating the vectors of each side of a concave polygon or image data) indicating one or more concave shapes (e.g., T-shaped, L-shaped, and U-shaped shapes) and tag information indicating the type of the concave shape. When information indicating the shape of a field F is input, the learning model AI may output a judgment score, which is an index indicating the estimated probability that the field F will be classified into one of multiple concave shapes.

[0053] 7 acquires information necessary for the processing described below from the information storage unit 180 or an external device (for example, the terminal device 20 and the work device 30). The information acquisition unit 110 may provide the acquired information to the depressed field determination unit 120, the candidate determination unit 130, the division determination unit 140, the proposal unit 150, the update generation unit 160, the information output unit 170, the information storage unit 180, and the area determination unit 190.

[0054] In this embodiment, the information acquisition unit 110 generates the field information D1 based on a user input indicating the geographical extent of the field F, which is input using the input / output device 12, for example, before the processing described below is started. For example, the user uses the input / output device 12 to perform a user input to specify multiple vertices of the field F on a map (for example, four vertices for a rectangular field F, or six vertices for an L-shaped field F). The information acquisition unit 110 generates the field information D1 indicating the geographical extent of the field F from this user input. Therefore, the shape of the field F indicated by the field information D1 in this embodiment is composed of a minimum number of sides and vertices. The information acquisition unit 110 may provide this field information D1 to the information storage unit 180. Alternatively, the information storage unit 180 may acquire the field information D1 from an external device (for example, a server device provided by the manufacturer of the working device 30).

[0055] The depressed field determining unit 120 determines a depressed field having a depressed shape from among one or more fields F registered in the field information D1.

[0056] As will be described later, the candidate designator 130 determines a plurality of candidate patterns that are candidates for dividing the concave-shaped field F determined by the concave field designator 120 into two or more sections.

[0057] As will be described later, the division determining unit 140 determines, from among the candidate patterns determined by the candidate determining unit 130, a division pattern that indicates how the field F will actually be divided.

[0058] As will be described later, the proposing unit 150 outputs proposal information to display a proposal image proposing dividing the field F to be treated using the division pattern determined by the division determining unit 140. The proposing unit 150 may acquire input information indicating a user input to divide the field F to be treated, which is input using the displayed proposal image.

[0059] As will be described later, the updating unit 160 generates new field information by dividing the portion of the field information D1 that indicates the range of the field F to be processed, in accordance with the input information acquired by the proposing unit 150.

[0060] As will be described later, the information output unit 170 outputs to the terminal device 20 output information related to the divided field information generated by the update generation unit 160.

[0061] As will be described later, the area determination unit 190 generates and updates work area information D2 that indicates the geographical range of the work area WA in the field F where the work implement 30 has worked, based on the positioning information of the work implement 30.

[0062] The terminal device 20 realizes the function of the display reception unit 210 shown in FIG. 7 by the arithmetic unit 24 of FIG. 5 executing the program P2.

[0063] As will be described later, the display receiving unit 210 displays a proposed image based on the proposed information output by the farming information management device 10. The display receiving unit 210 also receives user input for the displayed proposed image. Furthermore, as will be described later, the display receiving unit 210 displays information about the divided farm field F based on the output information output by the farming information management device 10.

[0064] Next, the processing executed by the farming information management system 1 will be described. The farming information management system 1 starts the processing shown in Fig. 8 in response to the power source of any one of one or more working devices 30 transitioning from a stopped state to an activated state. In the processing of Fig. 8, for example, work area information D2 including information about a new work area WA is generated. The processing of Fig. 8 may be executed, for example, when the power source of a working device 30 that performs work on the entire area A, such as planting crops in the ridges R provided in each area A, enters an activated state.

[0065] 8, first, in step S1002, the sampling unit 310 of the task execution device 30 measures the position and time of the task execution device 30. For example, the sampling unit 310 uses the positioning device 39 to continuously measure the position and time of the task execution device 30 at a predetermined sampling interval (for example, every second).

[0066] Next, in step S1004, the output unit 320 outputs positioning information indicating the position and time measured in step S1002. For example, the output unit 320 outputs multiple pieces of positioning information indicating the position and time of the working device 30 measured in step S1002 to the farming information management device 10 using the communication device 36. In this embodiment, when the power source of the working device 30 transitions to a stopped state, the output unit 320 collectively outputs multiple pieces of positioning information indicating the results of positioning performed by the sampling unit 310 while the power source was in an activated state in this processing. Note that the positioning information output by the output unit 320 may include information indicating the identifier of the working device 30.

[0067] Next, in step S1006, the information acquisition unit 110 of the farming information management device 10 acquires the plurality of pieces of positioning information output by the output unit 320 of the work device 30 in step S1004. The information acquisition unit 110 acquires the plurality of pieces of positioning information output by the work device 30 using the communication device 16 of the farming information management device 10.

[0068] Next, in step S1008, the information acquisition unit 110 acquires the field information D1. For example, the information acquisition unit 110 acquires the field information D1 from the information storage unit 180. If the positioning information acquired in step S1002 includes an identifier of the work device 30 that output the positioning information, the information acquisition unit 110 may acquire information stored in the information storage unit 180 that relates to the working width of the work device 30 identified by the identifier.

[0069] Next, in step S1010, the information acquisition unit 110 extracts positional positions where the work device 30 is working in one or more fields F. For example, the information acquisition unit 110 may extract a positional position corresponding to an estimated speed during work within a geographical range of the field F based on the positional positions and positioning times. To this end, the information acquisition unit 110 may determine the speed at each positional position. As an example, for each positional position indicated by the multiple pieces of positioning information, the information acquisition unit 110 calculates the speed immediately before and immediately after the positional position based on the geographical distance and time difference from the two positional positions immediately before and after the positioning time. The information acquisition unit 110 then determines the speed at the positional position by averaging the speeds immediately before and immediately after the positional position. The information acquisition unit 110 may then extract, from the position information of the work device 30, a positional position where the calculated speed falls within a work speed range determined by settings, as a positional position during work in the field F. If the extracted measured positions are present across multiple fields F, the information acquiring unit 110 may extract the measured positions by dividing them into multiple groups corresponding to the respective fields F.

[0070] Next, in step S1012, the area determination unit 190 determines a working area WA based on the positioned positions extracted in step S1010. For example, the area determination unit 190 determines the convex hull of the positioned positions extracted in step S1010 as the working area WA. If the position information is grouped corresponding to multiple fields F in step S1010, the area determination unit 190 determines the working area WA for each field F separately.

[0071] Note that the work area information D2 generated in the previously executed process of FIG. 8 may contain a work area WA (also referred to as a corresponding work area) determined for a work device 30 that performed work on cultivation of the same crop type within area A. In this case, in step S1012, the area determination unit 190 may overwrite the information on the corresponding work area with information indicating the work area WA based on the positioning position extracted in step S1010 of the current process. Alternatively, the area determination unit 190 may determine a new work area WA generated based on the current work area WA and the corresponding work area as the new work area WA to be registered this time. For example, the area determination unit 190 may determine the common area or combined area of ​​the current work area WA and the corresponding work area as the new work area WA to be registered this time.

[0072] The area determination unit 190 may compare the geographical range of an existing work area WA already stored in the work area information D2 with the geographical range of the work area WA determined in step S1012 of the current process, and if there is an existing work area WA that is similar to the current work area WA beyond a predetermined standard, determine the existing work area WA as the corresponding work area. The similarity index value, which indicates the degree of similarity between the existing work area WA and the corresponding work area, may be calculated using any known method. As an example, the area determination unit 190 determines the difference between the area L1 of the common area between the current work area WA and the existing work area WA and the area L2 of the merged area as the similarity index value. If this similarity index value is equal to or less than a predetermined standard, the area determination unit 190 determines that the two are similar beyond the standard. For example, the area determination unit 190 may determine that the current work area WA and the existing work area WA are similar beyond the standard if the ratio of L1 to L2 (L1 / L2) is 0.9 or greater.

[0073] Furthermore, the area determination unit 190 may further set a condition for the corresponding work area that the time difference between the time of the work corresponding to the current work area WA and the time of the work corresponding to the existing work area WA is less than a predetermined threshold. The time difference may be calculated as the difference between the start time (the oldest time among the positioning times of the positioning positions extracted in step S1010 of the current process) and the time when the work corresponding to the existing work area WA was performed (the latest time among the positioning times of the positioning positions extracted in step S1010 of the process in which the work area WA was determined).

[0074] Next, in step S1014, the information storage unit 180 stores work area information D2 that includes information about the work area WA determined in step S1012. If the information storage unit 180 has already stored work area information D2 generated by a previously executed process of FIG. 8, it stores work area information D2 to which information about the work area WA newly determined in step S1012 of the current process has been added. The information storage unit 180 may store the work area information D2 by associating information indicating the field F that includes the work area WA with information indicating the geographical extent of the work area WA. If the work area information D2 already contains information about the work area WA included in the field F as existing information, the information storage unit 180 generates and stores work area information D2 that includes information about multiple work areas WA included in a single field F.

[0075] When step S1014 is completed, the process of FIG. 8 ends.

[0076] The farming information management system 1 starts the process of dividing the recessed field shown in Figures 9A and 9B in response to, for example, information about the work area WA for the new area A being registered in the work area information D2 by the process of Figure 8. Alternatively, the farming information management system 1 may start the process of Figures 9A and 9B in response to information indicating the geographical extent of the new field F being registered in the field information D1.

[0077] 9A, first, in step S2002, the information acquisition unit 110 acquires the farm field information D1. For example, the information acquisition unit 110 acquires the farm field information D1 from the information storage unit 180.

[0078] Next, in step S2004, the depressed field determination unit 120 determines a depressed field. For example, the depressed field determination unit 120 determines, as a depressed field, one or more fields F registered in the field information D1, based on information indicating the geographical range of each field F, if the matching index, which indicates the degree to which the shape of the field F matches a template of a depressed shape learned by the learning model AI, exceeds a predetermined standard.

[0079] For example, the concave field determination unit 120 inputs input information, which is an image of the shape of each of one or more fields F, to the learning model AI. The concave field determination unit 120 acquires, as output information from the learning model AI, a judgment score for each of one or more fields F, which is an index indicating the estimated probability that the field F will be classified into one of multiple concave shapes. The judgment score for a certain concave shape can be used as a match index indicating the degree to which the shape of the field F matches the concave shape. Based on the shape with the highest judgment score and the absolute value of the judgment score, the concave field determination unit 120 determines whether each field F is a concave field, and if so, which concave shape it corresponds to. For example, if the highest judgment score among the judgment scores obtained as output from the learning model AI is higher than a predetermined threshold, the concave field determination unit 120 determines that the field F is a concave field with the concave shape corresponding to the highest judgment score. The concave shape determined in step S2004 may be referred to as the corresponding shape of the concave field.

[0080] Next, in step S2006, the information acquisition unit 110 acquires work area information for the field F determined to be a depressed field. For example, the information acquisition unit 110 extracts information on a work area WA that geographically overlaps with the field F determined to be a depressed field in step S2004 from the work area information D2 stored in the information storage unit 180.

[0081] Next, in step S2008, the candidate designator 130 determines a candidate pattern for dividing the depressed field. For example, the candidate designator 130 determines a plurality of candidate patterns for dividing the depressed field based on the shape of the depressed field. For example, as shown in FIG. 10A , the candidate designator 130 generates a plurality of candidate patterns for dividing the field F1 using lines (lines Sd1_1 and Sd1_2) that extend a plurality of sides (sides S1_1 and S1_2) that form a reentrant corner of the field F1.

[0082] Note that the line that divides the field F, which is a concave field, in the candidate pattern (and the division pattern described later) may be called a division line. The division line is a line that extends from a representative point of the concave portion of the field F (in this embodiment, the vertex of the concave corner) to the outer edge of the field F. Furthermore, when a concave field is divided using the candidate pattern (and the division pattern described later), the field F after division may be called a divided field.

[0083] In this embodiment, the candidate designator 130 determines the number of divisions, indicating how many divided fields the candidate pattern will divide the field F into, based on the number of working areas WA in the field F to be divided, among the working areas WA acquired in step S2006. In the example of FIG. 10A , the candidate designator 130 generates a candidate pattern for dividing the field F1 into two, in response to the existence of two working areas WA, working areas WA1_1 and WA1_2, in the field F1. Note that even if the field F has a concave shape, the candidate designator 130 may not generate a candidate pattern for the field F if there is only one working area WA or if there is no working area WA at all. In this case, the field F may not be subject to the following division process. Note that the working areas WA that exist within a certain field F are also referred to as internal working areas.

[0084] 10A, the candidate designator 130 designates, as candidate patterns for dividing the field F1 into two, a pattern in which the field F1 is divided by a line Sd1_1 extending from side S1_1 and side S1_2 that form a reentrant corner of the field F1, and a pattern in which the field F1 is divided by a line Sd1_2 extending from side S1_2. Note that, for visibility purposes, the range of the internal working area of ​​the field F (working area WA1_1 to working area WA3_3) is shown hatched in FIGS. 10A to 10D.

[0085] In the example of Figure 10A, if the field F1 is divided using a pattern with line Sd1_1 as the dividing line, the divided fields F1_1a and F1_1b shown in Figure 10B may be generated. In this case, the working area WA1_1, which is one of the corresponding working areas, is divided into the divided working areas WA1_1a and WA1_1b. If the field F1 is divided using a pattern with line Sd1_2 as the dividing line, the divided fields F1_2a and F1_2b shown in Figure 10C may be generated.

[0086] In addition, when dividing field F3, there are cases where there are two directions in which the side forming a reentrant angle can be extended, such as side S3_2 of the U-shaped field F3 shown in Fig. 10D. In the example of Fig. 10D, when field F3 is divided along the extension line of side S3_2, there are two possible directions: line Sd3_2a extending to the left of the drawing, and line Sd3_2b extending side S3_2 to the right of the drawing. When determining candidate patterns for dividing field F3, the candidate designator 130 treats lines Sd3_2a and Sd3_2b as independent candidates for dividing lines.

[0087] 10D, field F3 has three internal work areas, work areas WA3_1 to WA3_3, and so the candidate designator 130 determines multiple candidate patterns that can divide field F3 into thirds. Here, there are four possible dividing lines that can divide field F3: line Sd3_1 extending side S3_1, line Sd3_2a extending side S3_2 in a first direction, line Sd3_2b extending side S3_2 in a second direction, and line Sd3_3 extending side S3_3. Of these four lines, the candidate designator 130 selects lines 1 to 4 as dividing lines, and determines as a candidate pattern a pattern that can divide field F3 into thirds. In this example, there are six patterns for extracting two of the four division line candidates, and therefore the candidate designator 130 determines six candidate patterns for dividing the field F3.

[0088] As explained in the example of FIG. 10D, when there are n candidates for dividing lines formed by extending sides forming a reentrant angle, the candidate designator 130 generates, as tentative candidate patterns, patterns for dividing the field F by the dividing lines of each combination of 1 to n of the n candidate dividing lines. Note that m tentative candidate patterns, expressed as m=Σ(nCi); (i=1, 2, 3, ..., n), can be generated. Note that nCi indicates the number of combinations for extracting i elements from n. Of the m tentative candidate patterns, the candidate designator 130 selects a pattern that generates the same number of divided fields as the number of internal work areas as the candidate pattern to be determined in step S2012 shown in FIG. 9A.

[0089] Next, in step S2010, the division determination unit 140 determines a similarity index value for each candidate pattern determined in step S2008. The similarity index value of a candidate pattern indicates the degree of similarity between the area and shape of the divided fields when the concave-shaped field F is divided using that candidate pattern and the area occupied by the internal working area of ​​field F.

[0090] As an example, the division determination unit 140 calculates an individual similarity index value indicating the degree of similarity between the divided field and the internal work area for each field area pair extracted from the divided fields obtained when the field F is divided using each candidate pattern and the internal work area of ​​the field F to be divided. For example, as shown in Figure 10B, for a candidate pattern in which the line Sd1_1 is the division line, the division determination unit 140 calculates an individual similarity index value indicating the degree of similarity between the divided field and the internal work area for each of the pairs of the divided field F1_1a and work area WA1_1, the divided field F1_1a and work area WA1_2, the divided field F1_1b and work area WA1_1, and the divided field F1_1b and work area WA1_2. For example, the division determination unit 140 may determine the individual similarity index value of a field area pair so that the smaller the difference between the area L3 of the common area between the divided field and the individual work area and the area L4 of the merged area, the higher the similarity. As an example, the division determination unit 140 may calculate the value of L3 / L4 as the individual similarity index value of the field area pair.

[0091] Next, the division determination unit 140 determines the similarity index value of the candidate pattern based on the individual similarity index value. Alternatively, the division determination unit 140 determines the field area pair (first pair) with the highest individual similarity index value. The divided field included in this first pair is designated the first divided field, and the internal work area is designated the first internal work area, and the individual similarity index value of this pair is designated the first index value V_1. The division determination unit 140 removes, from the existing field area pairs, those that include the first divided field and the first internal work area. Then, from the remaining field area pairs, it determines the pair (second pair) of the divided field and internal work area with the highest individual similarity index value. The divided field included in this second pair is designated the second divided field, and the internal work area is designated the second internal work area, and the individual similarity index value of this pair is designated the second index value V_2. The division determination unit 140 repeats this operation a number of times (for example, p times) until it is no longer possible to generate pairs of divided fields and internal working areas. The division determination unit 140 may determine the similarity index value of the candidate pattern based on the first index value V_1, the second index value V_2, ..., the p-th index value V_P. The similarity index value of the candidate pattern may be, for example, the product of the first index value V_1, the second index value V_2, ..., the p-th index value V_P, or a numerical value obtained by summing them up.

[0092] For example, as shown in FIG. 10C, if the geographical ranges of the divided field and the internal work area in the first pair of divided field F1_2a and work area WA1_1 and the second pair of divided field F1_2b and work area WA1_2 are nearly the same, the first index value V_1 and the second index value V_2 will be numerical values ​​close to 1. On the other hand, as shown in FIG. 10B, if the geographical ranges of the divided field and the internal work area in the first pair of divided field F1_1a and work area WA1_1 and the second pair of divided field F1_1b and work area WA1_2 are different in part, the first index value V_1 and the second index value V_2 will be numerical values ​​significantly smaller than 1. Note that when the divided field and the internal work area have no common part at all, the individual similarity index value for that field area pair will be 0. In this way, the division determination unit 140 determines the similarity index value of a candidate pattern based on the individual similarity index value, which takes a higher value the more similar the divided field and the internal work area are. The similarity index value of a candidate pattern approaches 0 as the geographical range of one or more divided fields obtained by dividing field F using the candidate pattern differs from one or more internal work areas, and takes the maximum value when they are a perfect match. Note that when the similarity index value of a candidate pattern is calculated by multiplying p index values, the maximum value is 1, and when calculated by summing them up, the maximum value is p.

[0093] In addition, the division determination unit 140 may similarly calculate the similarity index value for all possible combinations when pairing each divided field obtained by dividing field F using a certain candidate pattern with the internal working area of ​​field F, and determine the similarity index value of the largest combination as the similarity index value of the candidate pattern.

[0094] Next, in step S2012 shown in Fig. 9A, the division determination unit 140 determines a division pattern based on the similarity index value of each candidate pattern determined in step S2010. The division pattern may indicate a pattern in which the farming information management system 1 divides the depressed field to be divided. Of the candidate patterns determined in step S2008, the division determination unit 140 determines the pattern with the highest similarity index value determined in step S2010 as the division pattern. Of the candidate patterns, the division pattern is a pattern that can divide the depressed field to be divided in a manner that best matches the shape of the internal work area.

[0095] Next, in step S2014, the proposing unit 150 outputs proposal information indicating that a proposal image proposing dividing the recessed field to be divided based on the division pattern determined in step S2012 will be displayed. For example, the proposing unit 150 includes a proposal image including content (e.g., a character string, a symbol, or an image) proposing to the user to divide the recessed field to be divided using the division pattern determined in step S2012, and a display command for displaying the proposal image on the terminal device 20. Alternatively, the proposal information may include the proposal image but not a command for displaying the proposal image. In this embodiment, the proposing unit 150 uses the communication device 16 to output to the terminal device 20 the proposal information including information indicating the geographical extent of the recessed field to be divided from the field information D1, information indicating the geographical extent of the internal work area of ​​the recessed field from the work area information D2, and information indicating the division pattern. The proposal information may include a map image of a geographical area including the depressed field and information indicating the depressed field (for example, an identifier).

[0096] Next, in step S2016 of FIG. 9B, the display receiving unit 210 of the terminal device 20 displays a proposal image based on the proposal information output in step S2014 of FIG. 9A. For example, as shown in FIG. 11, the display receiving unit 210 displays a proposal image including information indicating the geographical range of field F1, which is a recessed field included in the proposal information, on the screen S of the display device of the input / output device 22 of the terminal device 20. In the example of FIG. 11, the proposal image includes information indicating the division line Sd1_1 of the division pattern included in the proposal information. The proposal image may also include information indicating field F1, which is a recessed field to be divided, and an information box TB including letters or symbols urging the user to divide field F1 using the displayed division pattern.

[0097] 11, the display receiving unit 210 further displays a user interface that allows the user to select whether or not to divide the field F1 using the displayed division pattern, such as a selection form UI. The selection form UI includes radio buttons corresponding to the options and an OK button for confirming the selection.

[0098] In addition, in the example of Figure 11, the display receiving unit 210 displays information indicating the geographical extent of the work areas WA1_1 and WA1_2, which are internal work areas of the field F1, superimposed on information indicating the geographical extent of the field F1, to assist the user in deciding whether or not to divide the field F1.

[0099] Next, in step S2018 of FIG. 9B , the display receiving unit 210 determines whether or not a user input to divide the recessed field has been received. For example, if the display receiving unit 210 detects a user input of selecting, using the input / output device 22, an option to divide the field F1 using the displayed division pattern from among the options in the selection form UI and then selecting the OK button to confirm the result, the display receiving unit 210 determines that a user input to divide the recessed field has been received (step S2018; YES). In this case, the processing of step S2020 is then executed. On the other hand, if the display receiving unit 210 detects a user input of selecting the OK button to confirm the result after selecting an option not to divide the field F1, the display receiving unit 210 determines that a user input to divide the recessed field has not been received (step S2018; NO). In this case, the processing of FIGS. 9A and 9B is terminated. At this time, the information about the target recessed field in the field information D1 is not changed.

[0100] In step S2020, the display receiving unit 210 outputs input information indicating that a user input to divide the depressed field according to the division pattern has been received. For example, the display receiving unit 210 outputs the input information to the farming information management device 10 using the communication device 26. At this time, the input information may include information indicating the depressed field to be divided and information indicating the division pattern specified by the user input.

[0101] Next, in step S2022, the information acquisition unit 110 of the farming information management apparatus 10 uses the communication device 16 to acquire the input information output in step S2020.

[0102] Next, in step S2024, the updating and generating unit 160 generates updated field information from the field information D1 by dividing the recessed field to be divided, based on the input information acquired in step S2022. For example, the updating and generating unit 160 deletes information from the field information D1 that indicates the geographical extent of field F indicated by the input information acquired in step S2022, and adds information about two or more divided fields into which field F is divided. For example, if the division pattern indicated by the input information indicates that field F is to be divided into n fields, the updating and generating unit 160 deletes the information about field F and generates updated field information that includes identifiers indicating the n new divided fields and information indicating the geographical extent of each divided field. The update generating unit 160 may delete the current field information D1 and store the updated field information D1, or may store the updated field information D1 in the information storage unit 180 separately from the current field information D1.

[0103] Next, in step S2026, the information output unit 170 outputs output information related to the updated field information. For example, using the communication device 16, the information output unit 170 outputs to the terminal device 20, for one or more of the divided fields newly generated in step S2024, output information including information indicating the geographical range of the divided field and a map image of the geographical range including the divided field.

[0104] Next, in step S2028, the display receiving unit 210 of the terminal device 20 displays the output information output in step S2026. For example, the information output unit 170 uses the input / output device 22 to display on a map image information indicating one or more geographical ranges of the divided field newly generated in step S2024. When step S2028 ends, the processing of Figures 9A and 9B ends.

[0105] As described above, the farming information management system 1 of this embodiment makes it easy for the user to divide information about the field F, which has a concave shape, into shapes that correspond to the working area WA where the working device 30 worked in the field F. Therefore, the farming information management system 1 can effectively support the user in managing information about the field F with high accuracy.

[0106] The farming information management system 1 of this embodiment generates a division pattern that divides a recessed field in a manner similar to the shape of the internal work area of ​​the recessed field and displays the division pattern, thereby assisting the user in appropriately dividing the recessed field. In this way, the farming information management system 1 can reduce the user's effort in managing the field information D1.

[0107] (Embodiment 2) The farming information management system 1 of this embodiment differs from the farming information management system 1 of embodiment 1 in that, as a process for dividing a recessed field, the system executes the process shown in Figures 12A and 12B instead of the process shown in Figures 9A and 9B. Specifically, the farming information management system 1 differs from the farming information management system 1 of embodiment 1 in that the system executes a process for displaying to the user a plurality of candidate patterns for dividing a recessed field, and the user selects a division pattern from the displayed candidate patterns. In other respects, the farming information management system 1 of this embodiment is similar to the farming information management system 1 of embodiment 1.

[0108] The farming information management system 1 executes the process of generating the work area information D2 shown in FIG. 8, similarly to the first embodiment.

[0109] The farming information management system 1 starts the process of dividing the recessed field shown in Figures 12A and 12B in response to information about the work area WA for the new area A being registered in the work area information D2 by the process of Figure 8. Alternatively, the farming information management system 1 may start the process of Figures 12A and 12B in response to information indicating the geographical extent of the new field F being registered in the field information D1.

[0110] In the processing of Figure 12A, first, the information acquisition unit 110 executes the processing of acquiring field information D1 in step S3002 of Figure 13A, the processing of determining the depressed field in step S3004, and the processing of acquiring work area information of the depressed field in step S3006, similar to steps S2002 to S2006 of Figure 9A.

[0111] Next, in step S3008, the candidate designator 130 determines a candidate pattern for dividing the depressed field determined in step S3004. In step S3008, the candidate designator 130 may determine a candidate pattern in the same manner as in step S2008 of FIG. 9A. Alternatively, the candidate designator 130 of this embodiment may generate a candidate pattern for dividing the field F with the division lines of each combination of 1 to n lines selected from n division line candidates formed by extending the sides forming the reentrant corner, without being limited to the number of internal work areas of the depressed field. In this case, the candidate designator 130 determines m=Σ(nCi); (i=1, 2, 3, ..., n) candidate patterns.

[0112] Next, in step S3014, the proposing unit 150 outputs proposal information indicating that a proposal image proposing that the recessed field to be divided be divided using one of the candidate patterns determined in step S3008 will be displayed. For example, the proposing unit 150 includes information of a display command for causing the terminal device 20 to display a proposal image proposing to the user that the recessed field to be divided be divided using one of the candidate patterns determined in step S3008. Here, the proposal information includes information of a display command for causing the terminal device 20 to display a proposal image that further prompts the user to select a division pattern from multiple candidate patterns if the user wishes to divide the recessed field. Note that the proposal information may be information that includes a proposal image but does not include a display command.

[0113] The proposing unit 150 uses the communication device 16 to output proposed information including information from the field information D1 indicating the geographical range of the recessed field to be divided, information from the work area information D2 indicating the geographical range of the internal work area of ​​the recessed field, and information indicating a plurality of candidate patterns to the terminal device 20. The proposed information may include a map image of the geographical range including the recessed field and information indicating the recessed field (for example, an identifier).

[0114] Next, in step S3016 of Fig. 12B, the display receiving unit 210 of the terminal device 20 displays a proposed image based on the proposal information output in step S3014 of Fig. 12A. For example, as shown in Fig. 13, the display receiving unit 210 displays a proposed image including the geographical range of field F1, which is a recessed field included in the proposal information, on the screen S of the display device of the input / output device 22 of the terminal device 20. In the example of Fig. 13, the proposed image includes information indicating dividing lines Sd1_1 and Sd1_2 of the candidate patterns included in the proposal information. The proposed image also includes information indicating field F1, which is a recessed field to be divided, and an information box TB including characters or symbols prompting the user to select a candidate pattern for dividing field F1.

[0115] 13, the display receiving unit 210 further displays a user interface, such as a selection form UI, that allows the user to select whether to divide the field F1 using one of a plurality of candidate patterns, and if so, which candidate pattern to use for division. The selection form UI includes check boxes corresponding to the plurality of division lines included in the plurality of candidate patterns, a check box corresponding to the option of not dividing the field F1, and a button for confirming the selection result.

[0116] In addition, in the example of Figure 13, the display receiving unit 210 displays information indicating the geographical extent of the work areas WA1_1 and WA1_2, which are internal work areas of the field F1, superimposed on information indicating the geographical extent of the field F1, to assist the user in deciding whether or not to divide the field F1.

[0117] Next, in step S3018 of FIG. 12B , the display receiving unit 210 determines whether or not it has received a user input indicating a division pattern for dividing the recessed field. For example, when the user selects one or more check boxes corresponding to division lines in the selection form UI on the displayed proposal image and then performs an operation to confirm the selection result, the display receiving unit 210 determines that it has received an operation to select a candidate pattern for dividing the field F1 using all of the division lines selected by this operation (step S3018: YES). In this case, the processing of step S3020 is then executed. For example, as shown in FIG. 13 , when the user performs a user operation to select both line Sd1_1 and line Sd1_2 as division lines, the display receiving unit 210 accepts this operation as an operation to select a candidate pattern for dividing the field F1 into three fields, namely, field F1_1, field F1_2, and field F1_3, along line Sd1_1 and line Sd1_2.

[0118] On the other hand, in step S3018 of Fig. 12B, if the user selects a check box in the selection form UI corresponding to the option not to perform division on the displayed proposal image and then performs an operation to confirm the selection result, the display receiving unit 210 determines that the user's operation not to perform division has been received (step S3018; NO). In this case, the processing of Fig. 12A and Fig. 12B is terminated. At this time, the information about the target depressed field in the field information D1 is not changed.

[0119] In step S3020, the display receiving unit 210 outputs input information indicating that a user input to divide the depressed field according to the selected candidate pattern has been received. For example, the display receiving unit 210 outputs the input information to the farming information management device 10 using the communication device 26. At this time, the input information may include information indicating the depressed field to be divided and information indicating the candidate pattern specified by the user input.

[0120] Next, in step S3022, the information acquisition unit 110 of the farming information management apparatus 10 uses the communication device 16 to acquire the input information output in step S3020.

[0121] Next, in step S3023, the division determination unit 140 determines the candidate pattern indicated by the input information acquired in step S3022 in Figure 12B from among the candidate patterns determined in step S3008 in Figure 12A as the division pattern for dividing the target depressed field.

[0122] Next, in step S3024, the updating and generating unit 160 generates updated field information by dividing the depressed field to be divided from the field information D1 based on the division pattern determined in step S2023. The specific processing executed by the updating and generating unit 160 in step S3024 is the same as that in step S2024 in FIG. 9B.

[0123] Next, in step S3026 of Fig. 12B, information output unit 170 outputs the updated farm field information. The specific processing executed by information output unit 170 is similar to that executed in step S2026 of Fig. 9B.

[0124] Next, in step S3028 of Fig. 12B, the display reception unit 210 of the terminal device 20 displays the field information. The specific processing content of the display reception unit 210 is the same as that of step S2028 of Fig. 9B. When step S3028 of Fig. 12B is completed, the processing of Figs. 12A and 12B ends.

[0125] As described above, the farming information management system 1 of this embodiment can divide a recessed field according to a division pattern selected by the user from among multiple candidate patterns, instead of the division pattern determined by the division determination unit 140 of the farming information management device 10. Therefore, the farming information management system 1 of this embodiment can accurately divide the recessed field based on the content visually confirmed by the user, even if, for example, the work area information D2 lacks information about the internal work area of ​​the recessed field to be divided, or if the geographical extent of the internal work area is inaccurate. Therefore, the farming information management system 1 can effectively support the user in accurately managing information about the field F.

[0126] (Variation) The configurations described in the embodiments are merely examples, and the configurations can be changed as long as the functions are not impaired.

[0127] For example, one or more of the information acquisition unit 110, depressed field determination unit 120, candidate determination unit 130, division determination unit 140, proposal unit 150, update generation unit 160, information output unit 170, information storage unit 180, and area determination unit 190 of the farming information management device 10 may be realized in a distributed manner by two or more computers. Also, for example, one or more of the functions of the farming information management device 10 may be included in the terminal device 20.

[0128] Furthermore, if the positioning information of the operation device 30 can be acquired from an external device (for example, an external server device that collects positioning information), the information acquisition unit 110 may acquire operation information from this external device instead of the operation device 30. Furthermore, the information acquisition unit 110 may acquire the work area information D2 itself from an external server (for example, a server device provided by the manufacturer of the operation device 30). In this case, the farming information management system 1 does not need to include the operation device 30.

[0129] The farming information management device 10 may also include functional units corresponding to the display reception unit 210 and output unit 220 of the terminal device 20. In this case, the functional unit corresponding to the display reception unit 210 may display the proposed image on the image of the display device of the input / output device 12 of the farming information management device 10 in step S2016 of FIG. 9B and step S3016 of FIG. 12B. Alternatively, or in addition, the functional unit corresponding to the display reception unit 210 of the farming information management device 10 may display output information on the image of the display device of the input / output device 12 in step S2028 of FIG. 9B and step S3028 of FIG. 12B. In this case, the farming information management system 1 does not need to include the terminal device 20.

[0130] Furthermore, the concave shapes targeted by the farming information management system 1 are not limited to the examples shown in Figures 2A to 2C, but may include any concave shape that includes areas A extending in different directions, such as an E-shape or an N-shape.

[0131] Furthermore, the farming information management system 1 may execute processes different from those described above. For example, the farming information management system 1 may omit some of the processes described in the first or second embodiment. As an example, the farming information management system 1 of the second embodiment may omit the process of determining a candidate pattern in step S3008 of FIG. 12A. In this case, in step S3014, the proposing unit 150 outputs proposal information indicating that a proposal image proposing dividing the depressed field to be divided and inputting to specify the division pattern will be displayed.

[0132] In this modification, in step S3016 of Fig. 12B, a proposal image is displayed that suggests that the user input to specify a division pattern, as shown in Fig. 14. For example, the display receiving unit 210 displays a proposal image including the geographical range of field F1, which is a recessed field included in the proposal information, on the screen S of the display device of the input / output device 22 of the terminal device 20, as shown in Fig. 14. In the example of Fig. 14, the proposal image includes an information box TB that includes letters or symbols that prompt the user to specify the positions of two endpoints (end point Pt1 and end point Pt2) of the division line of the desired division pattern.

[0133] In the example of FIG. 14, in response to a user's operation of moving the end points Pt1 and Pt2 using the input / output device 22, the display receiving unit 210 moves the end points Pt1 and Pt2 on the proposed image.

[0134] The display receiving unit 210 further displays a selection form UI that allows the user to select whether or not to divide the field F1 using the division pattern that corresponds to the current endpoints Pt1 and Pt2, as in the selection form UI in Fig. 14. The selection form UI includes radio buttons that correspond to the options and a button for confirming the selection result.

[0135] The display receiving unit 210 can acquire information on a user input indicating a division pattern by displaying such a proposed image and receiving an operation performed by the user on the proposed image.

[0136] This modified farming information management system 1 determines a depressed field to be divided among one or more fields F, prompts the user to input how to divide the depressed field, and reduces the user's effort required to input the division pattern and execute the division.

[0137] Furthermore, the method by which the farming information management system 1 determines whether a field F has a concave shape that is subject to division is not limited to a method using a learning model AI. For example, the concave field determination unit 120 may determine a concave field using an image template of a concave shape. In this case, in step S2004 of FIG. 9A, the concave field determination unit 120 may determine that the shape of the field F is a concave shape corresponding to the template when the degree of similarity between an image template corresponding to the shape of the concave-shaped (e.g., L-shaped) field F and an image showing the shape of the target field F (e.g., field F1 in FIG. 2A) exceeds a predetermined standard.

[0138] Furthermore, when determining candidate dividing lines, if the shape of field F is a complex, concave field, such as when the number of sides of field F indicated in the field information D1 is greater than the number of sides of the corresponding shape determined in step S2004 of Fig. 9A (for example, six sides for an L-shape), the candidate designator 130 may simplify the shape of field F to make it match the corresponding shape. For example, in step S2008 of Fig. 9A, the candidate designator 130 may use a known method such as the Douglas-Peucker algorithm to simplify the shape of field F and then determine candidate division patterns.

[0139] Furthermore, the candidate designator 130 may determine candidate patterns using a method different from that of the above embodiment. For example, if information about ridges R is available as field information D1, the candidate designator 130 may determine, in step S2008 of FIG. 9A , as the candidate dividing line, a straight line extending from a representative point of the recess of the recessed field (e.g., the vertex of a reentrant corner, or the point on the periphery of the recess that is farthest from the auxiliary line of the recess) along the extension direction of the ridge R. In this case, if there are multiple directions in which the ridges R extend, the candidate designator 130 determines, as multiple candidate patterns, patterns that divide the recessed field along any of the candidate dividing lines extending in each direction. Alternatively, the candidate designator 130 may determine, as the candidate dividing line, a straight line extending from the representative point of the recess in the direction of the extension of the periphery of the recessed field. Here, the direction in which the sides forming the concave angle that the candidate determination unit 130 uses to determine the dividing candidate line extend, the direction in which the ridge R extends, and the direction in which the outer edges of the concave field extend may be referred to as the direction in which the representative line of the concave field extends.

[0140] Furthermore, the candidate designator 130 may determine, as a candidate pattern, a pattern for dividing the depressed field into a number of divided fields that differs from the number of internal work areas of the depressed field to be divided. For example, in step S2008 of Fig. 9A, when n representative lines can be defined, the candidate designator 130 may determine candidate patterns for all combinations of dividing the depressed field with 1 to n candidate dividing lines.

[0141] Furthermore, the division determination unit 140 may determine candidate patterns using a method different from that of the above embodiment. For example, in step S2010 of Fig. 9A, the division determination unit 140 may use, as the similarity index value of the candidate pattern, an index value (also referred to as a division index value) that indicates the degree to which the working area WI is preserved when the working area WI is divided along the division lines of the candidate pattern, as the similarity index value of the candidate pattern, as the degree of similarity between the division result obtained by division using each candidate pattern and the internal working area.

[0142] This modification will be described using an example in which a candidate pattern divides a work area WA1_1 of area Sv1 into a divided work area WA1_1a of area Sv1_a and a divided work area WA1_1b of area Sv1_b, as shown in FIG. 10B. In this case, the division determination unit 140 calculates a division index value by dividing the area Sv1 of the original work area WI by the area of ​​the largest divided work area (in the example of FIG. 10B, Sv1_b / Sv1). This division index value takes a maximum value of 1 when the internal work area is not divided at all by the division lines of the candidate pattern, and decreases as the original internal work area is fragmented. When a candidate pattern divides multiple work areas WI, the division determination unit 140 may calculate a division index value for each work area WI and determine a similarity index value for the candidate pattern based on the calculated division index values. As an example, the division determination unit 140 may determine the smallest value among the plurality of division index values, the sum of the plurality of division index values, or a numerical value obtained by multiplying the plurality of division index values ​​as the similarity index value. Then, the division determination unit 140 may determine, as the candidate pattern, the candidate pattern having the largest similarity index value calculated in this manner.

[0143] The above-described embodiments and modifications are merely examples, and the configurations described in each embodiment may be arbitrarily modified and / or combined as long as the functions are not impaired. Furthermore, some of the functions described in the embodiments may be omitted as long as the required functions can be realized.

[0144] (Addendum) The farming information management method, farming information management system, and program described in each embodiment can be described as follows.

[0145] The farming information management method according to the first aspect includes: determining a recessed field in which a recessed portion is formed among the one or more fields based on first field information indicating a geographical range of the one or more fields; determining a division pattern for dividing the depressed field into a plurality of regions based on the determined shape of the depressed field; generating second field information by dividing the depressed field based on the determined division pattern; outputting the generated second field information; and Includes.

[0146] The farming information management method according to the second aspect is the farming information management method according to the first aspect, Determining the recessed field, determining, for each of the one or more fields, a match index indicating the degree to which the shape of the field matches the shape of the one or more polygons; determining, as the depressed field, a field among the one or more fields whose determined coincidence index is higher than a predetermined standard; Includes.

[0147] The farming information management method according to the third aspect is the farming information management method according to the second aspect, The one or more polygons include a T-shape, an L-shape, or a U-shape.

[0148] A farming information management method according to a fourth aspect is a farming information management method according to any one of the first to third aspects, determining, as a plurality of candidate patterns for dividing the depressed field, a plurality of candidate patterns obtained by dividing the depressed field along any of a plurality of dividing lines each extending from a representative point of a depression of the depressed field to an outer edge of the depressed field; determining the division pattern by determining, from among the plurality of determined candidate patterns, a candidate pattern whose result of dividing the depressed field with the candidate pattern satisfies a predetermined criterion in terms of the degree of similarity to a work area in which a work implement has worked in the depressed field; Includes.

[0149] A farming information management method according to a fifth aspect is the farming information management method according to the fourth aspect, The plurality of dividing lines of the candidate pattern are lines extending from a plurality of sides forming a reentrant angle of the recessed field.

[0150] A farming information management method according to a sixth aspect is a farming information management method according to the fourth or fifth aspect, outputting proposal information to display a proposal image proposing dividing the depressed field using the determined division pattern; acquiring input information regarding a user input instructing to divide the depressed field using the division pattern shown in the displayed proposed image; Further comprising: Generating the second field information includes generating the second field information based on the division pattern in response to the input information.

[0151] A farming information management method according to a seventh aspect is a farming information management method according to any one of the first to sixth aspects, determining the division pattern includes determining a plurality of candidate patterns that divide the depressed field by lines extending a plurality of sides that form the depressed portion, outputting proposal information to display a proposal image proposing dividing the depressed field using any one of the plurality of division patterns determined; and acquiring input information regarding a user input for selecting one of a plurality of division patterns indicated by the displayed proposed image; Further comprising: Generating the second field information includes generating the second field information based on a selected division pattern indicated by the input information.

[0152] The farming information management method according to the eighth aspect is the farming information management method according to the sixth or seventh aspect, the proposal information further indicates that the proposal information displays a geographical range of the depressed field, a work area in which a work device has performed work in the depressed field, and an image or character string proposing that the depressed field be divided; The method further includes displaying, based on the proposal information, the geographical extent of the depressed field, the work area, and information proposing to divide the depressed field.

[0153] A farming information management method according to a ninth aspect is a farming information management method according to any one of the first to eighth aspects, determining a first working area and a second working area in which the working device has performed work in the recessed field based on position information indicating the positions of one or more working devices working in the recessed field, Determining the division pattern includes determining the division pattern further based on the first working area and the second working area.

[0154] A farming information management method according to a tenth aspect is a farming information management method according to any one of the first to ninth aspects, determining the division pattern includes determining the division pattern further based on a work area in which a work implement has performed work in the depressed field, the working area includes a first working area and a second working area; The first working area is provided with ridges extending in a first direction, and the second working area is provided with ridges extending in a second direction different from the first direction.

[0155] A farming information management method according to an eleventh aspect is a farming information management method according to any one of the first to tenth aspects, determining the division pattern includes determining the division pattern further based on a work area in which a work implement has performed work in the depressed field, The work area includes a first work area and a second work area having different planting densities of crops.

[0156] A farming information management method according to a twelfth aspect is a farming information management method according to any one of the first to eleventh aspects, The method further includes displaying information about the output second field information.

[0157] A farming information management method according to a thirteenth aspect includes: determining a recessed field having a recessed portion among the one or more fields based on first field information indicating a geographical range of the one or more fields; outputting proposal information to display the determined shape of the depressed field, the work area worked in the depressed field, and an image or character string suggesting a user input regarding a division pattern for dividing the depressed field; acquiring the user-input information indicating a division pattern of the depressed field input in accordance with the proposal information; generating second field information obtained by dividing the depressed field based on the division pattern indicated by the user input information; outputting the generated second field information; and Includes.

[0158] The farming information management system according to the fourteenth aspect is a recessed field determination unit that determines a recessed field in which a recessed portion is formed among the one or more fields based on first field information that indicates the geographical range of the one or more fields; a division determination unit that determines a division pattern for dividing the depressed field into a plurality of regions based on the shape of the depressed field determined by the depressed field determination unit; an updating and generating unit that generates second field information by dividing the depressed field based on the division pattern determined by the division determining unit; outputting the second field information generated by the update generation unit; and Equipped with.

[0159] A program according to a fifteenth aspect comprises: On the computer, determining a recessed field in which a recessed portion is formed among the one or more fields based on first field information indicating a geographical range of the one or more fields; determining a division pattern for dividing the depressed field into a plurality of regions based on the determined shape of the depressed field; generating second field information by dividing the depressed field based on the determined division pattern; outputting the generated second field information; and Execute the following. [Explanation of symbols]

[0160] 1...Agricultural information management system 10...Agricultural information management device 12... Input / output device 14...Arithmetic device 16...Communication equipment 18...Storage device 110…Information acquisition department 120...Depressed field determination section 130...Candidate Selection Division 140...Division determination unit 150…Proposal Department 160...Update generation section 170...Information output unit 180...Information storage unit 190…Area determination section 20...Terminal device 22... Input / output device 24...Arithmetic device 26...Communication equipment 28…Storage device 210...Display reception section 30...Work equipment 32... Input / output device 34...Arithmetic device 36...Communication equipment 38…Storage device 39...Positioning device 310...Sampling section 320...Output section F, F1 to F3...field F1_1a, F1_1b, F1_2a, F1_2b, ... divided fields A, A1_1, A1_2, A2_1, A2_2, A3_1~A3_3…Area C1, C2_1, C2_2, C3...recess S1_1~S1_3, S2_1~S2_5, S3_1~3_3...side Sd1_1, Sd1_2, Sd3_1, Sd3_2a, Sd3_2b, Sd3_3... line WA, WA1_1, WA1_2, ... working areas WA1_1a, WA1_1b...Divided work areas NT…Network M1, M2, M3…Storage medium P1, P2, P3...Program R...ridge V1_1~V1_3,V2_1~V2_6,V3_1~V3_4...Vertices D1...Field information D2…Work area information GP...positioning satellite TB…Information Box S...Screen UI…Selection Form

Claims

1. determining a recessed field in which a recessed portion is formed among the one or more fields based on first field information indicating a geographical range of the one or more fields; determining a division pattern for dividing the depressed field into a plurality of regions based on the determined shape of the depressed field; generating second field information by dividing the depressed field based on the determined division pattern; outputting the generated second field information; and Including, Farming information management methods.

2. Determining the recessed field, determining, for each of the one or more fields, a match index indicating the degree to which the shape of the field matches the shape of one or more polygons; determining, as the depressed field, a field among the one or more fields whose determined coincidence index is higher than a predetermined standard; Including, The farming information management method according to claim 1.

3. The one or more polygons include a T-shape, an L-shape, or a U-shape. The farming information management method according to claim 2.

4. determining, as a plurality of candidate patterns for dividing the depressed field, a plurality of candidate patterns obtained by dividing the depressed field along any of a plurality of dividing lines each extending from a representative point of a depression of the depressed field to an outer edge of the depressed field; determining the division pattern by determining, from among the plurality of determined candidate patterns, a candidate pattern whose result of dividing the depressed field with the candidate pattern satisfies a predetermined criterion in terms of the degree of similarity to a work area in which a work implement has worked in the depressed field; Including, The farming information management method according to claim 1.

5. the plurality of dividing lines of the candidate pattern are lines extending from a plurality of sides forming a reentrant angle of the recessed field; The farming information management method according to claim 4.

6. outputting proposal information to display a proposal image proposing dividing the depressed field using the determined division pattern; acquiring input information regarding a user input instructing to divide the depressed field using the division pattern shown in the displayed proposed image; Further comprising: generating the second field information includes generating the second field information based on the division pattern in response to the input information. The farming information management method according to claim 4.

7. determining the division pattern includes determining a plurality of candidate patterns that divide the depressed field by lines extending a plurality of sides that form the depressed portion, outputting proposal information to display a proposal image proposing dividing the depressed field using any one of the plurality of division patterns determined; and acquiring input information regarding a user input for selecting one of a plurality of division patterns indicated by the displayed proposed image; Further comprising: generating the second field information includes generating the second field information based on a selected division pattern indicated by the input information; The farming information management method according to claim 1.

8. the proposal information further indicates that the proposal information displays a geographical range of the depressed field, a work area in which a work device has performed work in the depressed field, and an image or character string proposing that the depressed field be divided; and further comprising displaying, based on the proposal information, a geographical range of the depressed field, the work area, and information proposing to divide the depressed field. The farming information management method according to claim 6 or 7.

9. determining a first working area and a second working area in which the working device has performed work in the recessed field based on position information indicating the positions of one or more working devices working in the recessed field, determining the division pattern includes determining the division pattern further based on the first working area and the second working area. The farming information management method according to claim 1.

10. determining the division pattern includes determining the division pattern further based on a work area in which a work implement has performed work in the depressed field, the working area includes a first working area and a second working area; The first working area is provided with ridges extending in a first direction, and the second working area is provided with ridges extending in a second direction different from the first direction. The farming information management method according to claim 1.

11. determining the division pattern includes determining the division pattern further based on a work area in which a work implement has performed work in the depressed field, The working area includes a first working area and a second working area having different planting densities of crops. The farming information management method according to claim 1.

12. and further comprising displaying information about the output second field information. The farming information management method according to claim 1.

13. determining a recessed field having a recessed portion among the one or more fields based on first field information indicating a geographical range of the one or more fields; outputting proposal information to display the determined shape of the depressed field, the work area worked in the depressed field, and an image or character string suggesting a user input regarding a division pattern for dividing the depressed field; acquiring the user-input information indicating a division pattern of the depressed field input in accordance with the proposal information; generating second field information obtained by dividing the depressed field based on the division pattern indicated by the user input information; and outputting the generated second field information; and Including, Farming information management methods.

14. a recessed field determination unit that determines a recessed field in which a recessed portion is formed among the one or more fields based on first field information that indicates a geographical range of the one or more fields; a division determination unit that determines a division pattern for dividing the depressed field into a plurality of regions based on the shape of the depressed field determined by the depressed field determination unit; an updating and generating unit that generates second field information by dividing the depressed field based on the division pattern determined by the division determining unit; outputting the second field information generated by the update generation unit; and Equipped with Farming information management system.

15. On the computer, determining a recessed field in which a recessed portion is formed among the one or more fields based on first field information indicating a geographical range of the one or more fields; determining a division pattern for dividing the depressed field into a plurality of regions based on the determined shape of the depressed field; generating second field information by dividing the depressed field based on the determined division pattern; outputting the generated second field information; and A program to execute.

Images