Agricultural information management system, program, and agricultural information management method

The agricultural information management system addresses the challenge of representing yield data for specific areas by generating display images on maps with evaluation data calculated based on the map scale, enhancing user understanding and efficiency in data analysis.

JP7693322B2Active Publication Date: 2025-06-17YANMAR HLDG CO LTD
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Patent Information

Application Number
JP2021014320
Authority / Receiving Office
JP · JP
Patent Type
Patents
Current Assignee / Owner
Filing Date
2021-02-01
Publication Date
2025-06-17
Estimated Expiration
2041-02-01

AI Technical Summary

Technical Problem

Existing agricultural information management systems cannot effectively represent yield data for predetermined areas, limiting user understanding of agricultural data according to map scale.

Method used

An agricultural information management system that includes a data holding unit, a display image generation unit, and a data calculation unit, which holds agricultural data, generates display images on maps by associating aggregation sections with evaluation data, and calculates evaluation data based on the scale of the map displayed.

Benefits of technology

Enables users to easily understand displayed information by providing agricultural data corresponding to the map scale, facilitating efficient data checking and grasping of evaluation data.

✦ Generated by Eureka AI based on patent content.

Smart Images

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Patent Text Reader

Abstract

To provide information to a user according to a scale of a displayed map.SOLUTION: An agricultural information management system 1000 includes a data storage unit 150, a display image generation unit 170, and a data calculation unit 160. The data storage unit 150 stores agricultural data 300 related to cultivation of crops in a plurality of field areas 400. The display image generation unit 170 associates aggregated sections with evaluation data related to the cultivation of the crops in the aggregated sections and generates a display image displayed on a map. The data calculation unit 160 determines the aggregated sections according to a scale of the map displayed in the display image and calculates the evaluation data based on the agricultural data 300.SELECTED DRAWING: Figure 5
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Description

Technical Field

[0001] The present invention relates to an agricultural information management system, a program, and an agricultural information management method.

Background Art

[0002] In recent years, it has been studied to use information on farm work in the field for the analysis of cultivation management.

[0003] Patent Document 1 discloses a system that represents the yield in a pre-registered field in association with the location information of the field. Also disclosed is a system that represents the yield in a small sub-area of the field.

Prior Art Documents

Patent Documents

[0004]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0005] In the technique described in Patent Document 1, the yield for each field can be represented, but the yield in a predetermined area cannot be represented.

[0006] In view of the above situation, one object of the present disclosure is to provide an agricultural information management system that provides a user with information according to the scale of the map to be displayed, for example, agricultural data such as yield. Other objects can be understood from the following description and the description of the embodiments.

Means for Solving the Problems

[0007] The means for solving the problems will be described below using the numbers and symbols used in the embodiments for carrying out the invention. These numbers and symbols are added in parentheses for reference to show an example of the correspondence between the description of the claims and the embodiments for carrying out the invention. Therefore, the claims should not be construed in a limiting manner by the description in parentheses.

[0008] An agricultural information management system (1000) according to an embodiment for achieving the above object includes a data holding unit (150), a display image generation unit (170), and a data calculation unit (160). The data holding unit (150) holds agricultural data (300) related to the cultivation of agricultural crops in a plurality of field areas (400). The display image generation unit (170) generates a display image represented on a map by associating an aggregation section with evaluation data related to the cultivation of agricultural crops in the aggregation section. The data calculation unit (160) determines the aggregation section according to the scale of the map to be displayed on the display image, and calculates evaluation data based on the agricultural data (300).

[0009] A program according to an embodiment for achieving the above object causes an arithmetic device (120, 220) to generate a display image represented on a map by associating an aggregation section with evaluation data related to the cultivation of agricultural crops in the aggregation section. Further, the program causes the arithmetic device (120) to determine the aggregation section according to the scale of the map, and calculate evaluation data based on agricultural data 300 related to the cultivation of agricultural crops in a plurality of field areas (400).

[0010] An agricultural information management method according to an embodiment for achieving the above object generates a display image represented on a map by associating an aggregation section with evaluation data related to the cultivation of agricultural crops in the aggregation section. Further, the agricultural information management method determines the aggregation section according to the scale of the map, and calculates evaluation data based on agricultural data (300) related to the cultivation of agricultural crops in a plurality of field areas (400).

Effects of the Invention

[0011] According to the above-described embodiment, the user can easily understand the displayed information by checking the information corresponding to the scale of the map to be displayed.

Brief Description of the Drawings

[0012]

Figure 1

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Figure 9

Embodiments for Carrying Out the Invention

[0013] (Embodiment 1) The agricultural information management system 1000 according to the present embodiment of the present invention will be described with reference to the drawings. In the present embodiment, as shown in FIG. 1, the agricultural information management system 1000 includes an agricultural information management device 100 and a terminal 200. The agricultural information management device 100 is communicably connected to the terminal 200 and the work vehicle 30 via a network 20, for example, the Internet.

[0014] The work vehicle 30 performs agricultural work by moving within the field. The agricultural information management device 100 acquires operation information in the field from the work vehicle 30, and stores agricultural data representing a work area, a planting amount, an amount of pesticide sprayed, a harvest amount, etc. based on the acquired operation information. The operation information includes information representing the state of the work vehicle 30 when performing work in the field, for example, information representing the speed of the work vehicle 30, the steering angle, the engine speed, the ON / OFF status of various clutches, the position information of the work vehicle 30 at each time, the work period, etc. When the work vehicle 30 is a vehicle that towes a work machine, for example, a tractor, the operation information may include information such as the PTO (power take-off) speed when transmitting power to the work machine, the hitch height and the lift arm angle indicating the posture of the work machine. The work vehicle 30 may be a vehicle integrally formed with a work machine, for example, a combine harvester, etc.

[0015] The agricultural information management device 100 outputs information regarding the stored agricultural data in response to a request from the terminal 200. The terminal 200 displays the output information. For example, as shown in FIG. 2, the terminal 200 displays a display image representing a plurality of field areas 400 on a map. The display image represents regional agricultural data 410 in an area surrounded by two parallel first straight lines and two parallel second straight lines that intersect the first straight line. For example, the display image represents regional agricultural data 410 in an area surrounded by a plurality of straight lines extending in the east-west direction, for example, a plurality of latitude lines 450, and a plurality of straight lines extending in the north-south direction, for example, a plurality of longitude lines 455. Note that the first straight line may be a straight line extending in an arbitrary direction on the map. Also, the second straight line does not have to be orthogonal to the first straight line.

[0016] Further, when an operation to enlarge the scale of the map displayed in the display image is input to the terminal 200, the terminal 200 transmits information representing the scale input to the agricultural information management device 100. The agricultural information management device 100 generates a display image corresponding to the input scale. For example, as shown in FIG. 3, the agricultural information management device 100 generates a display image representing field agricultural data 420 in the field area 400. The terminal 200 displays the generated display image.

[0017] Furthermore, when an operation to enlarge the scale of the map displayed in the display image is input, the terminal 200 transmits information representing the scale input to the agricultural information management device 100. The agricultural information management device 100 generates a display image corresponding to the input scale. For example, as shown in FIG. 4, the agricultural information management device 100 generates a display image representing the small area agricultural data 430 in a small area obtained by dividing the farm area 400 into a plurality of parts. The terminal 200 displays the generated display image.

[0018] In this way, the agricultural information management system 1000 can provide the user with the agricultural data 300 according to the scale of the displayed map. Thereby, the user can efficiently check the agricultural data 300.

[0019] (Configuration of Agricultural Information Management System) The configuration of the agricultural information management device 100 included in the agricultural information management system 1000 will be described. As shown in FIG. 1, the agricultural information management device 100 includes an input / output device 110, an arithmetic device 120, a communication device 130, and a storage device 140. The agricultural information management device 100 is, for example, a computer. Information for the arithmetic device 120 to execute processing is input to the input / output device 110. Further, the input / output device 110 outputs the result of the processing executed by the arithmetic device 120. The input / output device 110 includes various input devices and output devices, and includes, for example, a keyboard, a mouse, a microphone, a display, a speaker, a touch panel, and the like. The input / output device 110 may be omitted.

[0020] The communication device 130 is electrically connected to the network 20 and communicates with each device via the network 20. The communication device 130 transfers the operation information acquired from the work vehicle 30 to the arithmetic device 120. Further, the communication device 130 transfers the signal generated by the arithmetic device 120 to the terminal 200. The communication device 130 includes various interfaces such as, for example, a NIC (Network Interface Card) and a USB (Universal Serial Bus).

[0021] The memory device 140 stores various data, such as agricultural data 300, and an agricultural information management program 310, for generating a display image representing information related to the cultivation of agricultural crops on a map. The memory device 140 is used as a non-transitory tangible storage medium for storing the agricultural information management program 310. The agricultural information management program 310 may be provided as a computer program product recorded on a computer-readable storage medium 1, or may be provided as a computer program product downloadable from a server.

[0022] The agricultural data 300 includes information related to the cultivation of agricultural crops in each field, such as the amount of seedlings planted, the amount of agricultural chemicals sprayed, the harvest amount, the harvest amount per unit area, the total working time for each type of work, the work efficiency (e.g., the working area per unit time), the planting conditions (e.g., distances such as the distance between plants, between ridges, and between rows), etc. The agricultural data 300 is calculated based on, for example, the operation information obtained from the work vehicle 30. The work vehicle 30 is equipped with a positioning device, such as a receiver of GNSS (Global Navigation Satellite System), and acquires position information representing the position at each time of movement. The agricultural data 300 is associated with the position information of the work vehicle 30 and represents the amount of seedlings planted at a predetermined position, the amount of agricultural chemicals sprayed at a predetermined position, the harvest amount harvested at a predetermined position, the plant height at a predetermined position, the cutting height at a predetermined position, etc. The agricultural data 300 may include soil information obtained by investigating the soil in the field, such as a soil nutrient value representing the fertilizer nutrients contained in the soil, such as an EC value. The agricultural data 300 may also include growth information (e.g., SPAD value (Soil and Plant Analyzer Development)), vegetation information (e.g., normalized difference vegetation index (NDVI; Normalized Difference Vegetation Index), vegetation coverage rate, visible light image, estimated nitrogen content), etc. For example, the vegetation information is obtained by observing the field from above.

[0023] The agricultural data 300 is read into the arithmetic unit 120 and used for various data processes to generate a display image representing information on crop cultivation on a map. The arithmetic unit 120 reads and executes the agricultural information management program 310 from the storage device 140. For example, the arithmetic unit 120 includes a central processing unit (CPU).

[0024] By reading and executing the agricultural information management program 310, the arithmetic unit 120 realizes a data holding unit 150, a data calculation unit 160, a display image generation unit 170, and a response unit 180 as shown in FIG. 5. The data holding unit 150 holds the agricultural data 300. The data calculation unit 160 calculates evaluation data regarding crop cultivation according to the scale of the map displayed in the display image based on the agricultural data 300. The display image generation unit 170 generates a display image representing the calculated evaluation data on the map. The response unit 180 transmits information representing the generated display image in response to a request from the display unit 250 of the terminal 200.

[0025] Next, the configuration of the terminal 200 will be described. As shown in FIG. 1, the terminal 200 includes an input / output device 210, an arithmetic unit 220, a communication device 230, and a storage device 240. The terminal 200 includes, for example, a computer, a tablet, a mobile phone, etc. Information for the arithmetic unit 220 to execute processing is input to the input / output device 210. Also, the input / output device 210 outputs the result of the processing executed by the arithmetic unit 220. The input / output device 210 includes various input devices and output devices, and includes, for example, a keyboard, a mouse, a microphone, a display, a speaker, a touch panel, etc.

[0026] The communication device 230 is electrically connected to the network 20 and communicates with each device via the network 20. The communication device 230 transfers the information representing the display image acquired from the agricultural information management device 100 to the arithmetic device 220. Also, it transfers the signal generated by the arithmetic device 220 to the agricultural information management device 100. The communication device 230 includes various interfaces such as, for example, a NIC (Network Interface Card) and a USB (Universal Serial Bus).

[0027] The storage device 240 stores various data for displaying the display image on the input / output device 210 of the terminal 200, such as the display program 320. The storage device 240 is used as a non-transitory tangible storage medium for storing the display program 320. The display program 320 may be provided as a computer program product recorded on a computer-readable storage medium 2, or may be provided as a computer program product downloadable from a server. The display program 320 may be provided by being recorded on the storage medium 1.

[0028] By reading and executing the display program 320, the arithmetic device 220 realizes a display unit 250 that, as shown in FIG. 5, cooperates with the input / output device 210 to display the display image acquired from the agricultural information management device 100. The display unit 250 acquires the display image from the agricultural information management device 100 and displays the display image. Also, the display unit 250 updates the scale of the map of the display image according to the user's operation.

[0029] (Operation of the Agricultural Information Management System) When the arithmetic device 120 of the agricultural information management device 100 shown in FIG. 1 receives the operation information from the work vehicle 30, it calculates the agricultural data 300 in each field area. The calculated agricultural data 300 is stored in the storage device 140. The agricultural data 300 may include the agricultural data 300 in small areas obtained by dividing the field area into a plurality of parts.

[0030] When a display operation for displaying agricultural data 300 is input to the input / output device 210 of the terminal 200, the arithmetic unit 220 of the terminal 200 executes a display program 320 from the storage device 240 and starts the process shown in FIG. 6, which is an agricultural information management method. In step S110, the display unit 250 realized by the arithmetic unit 220 generates a request signal for requesting a display image from the arithmetic unit 120 of the agricultural information management device 100 based on the display operation input to the input / output device 210. The request signal includes information representing the scale of the map displayed in the display image.

[0031] When the arithmetic unit 120 of the agricultural information management device 100 receives the request signal, it executes the agricultural information management program 310 and performs the process shown in FIG. 6. In step S120, the data calculation unit 160 realized by the arithmetic unit 120 calculates evaluation data related to the cultivation of crops according to the information representing the scale of the map of the display image included in the request signal. The data calculation unit 160 determines an aggregation section representing the area for calculating the evaluation data according to the scale of the map of the display image, and calculates the evaluation data for each determined aggregation section. The aggregation section is the area surrounded by the latitude line 450 and the longitude line 455 in the example shown in FIG. 2, and is the field area 400 in the example shown in FIG. 3. Also, the aggregation section is a small area obtained by dividing the field area 400 in the example shown in FIG. 4. Details of the process for calculating the evaluation data will be described later.

[0032] In step S130 shown in FIG. 6, the display image generation unit 170 generates a display image represented on a map by associating the determined aggregation plan with the calculated evaluation data. For example, as shown in FIG. 2, the generated display image may represent the aggregation plan as an area surrounded by the latitude line 450 and the longitude line 455, and represent the evaluation data in the aggregation plan as the regional agricultural data 410. Further, as shown in FIG. 3, the display image may represent the aggregation plan as the field area 400, and represent the evaluation data in the aggregation plan as the field agricultural data 420. Furthermore, as shown in FIG. 4, the display image may represent the aggregation plan as a small area obtained by dividing the field area 400, and represent the evaluation data in the aggregation plan as the small area agricultural data 430.

[0033] The evaluation data may be represented by changing the display form representing the aggregation plan, as shown in the agricultural data legend 435 of FIG. 4. For example, the aggregation plans are classified into a plurality of, for example, five according to the evaluation data, and are colored according to the classified categories. When the evaluation data of the aggregation plan is greater than the first threshold, this aggregation plan is classified into the first aggregation classification group. When the evaluation data of the aggregation plan is less than or equal to the first threshold and greater than the second threshold, this aggregation plan is classified into the second aggregation classification group. In this way, the display image generation unit 170 classifies the aggregation classifications from the first aggregation classification group to the fifth aggregation classification group according to the evaluation data, and sets the display form representing the aggregation classifications according to the classified aggregation classification groups. For example, the display image generation unit 170 may represent the aggregation classifications in different colors according to the aggregation classification groups. Further, the display image generation unit 170 may represent the aggregation classifications in different textures according to the aggregation classification groups.

[0034] When the display image generation unit 170 shown in FIG. 5 generates a display image, it transmits information representing the generated display image to the display unit 250 of the terminal 200.

[0035] In step S140 shown in FIG. 6, the display unit 250 of the terminal 200 acquires the display image generated by the display image generation unit 170 of the agricultural information management device 100 and displays the acquired display image on the input / output device 210. The user checks the display image displayed on the input / output device 210 and checks the evaluation data in each area.

[0036] In step S150, the display unit 250 determines whether it has received a switching operation of the display image. When the user inputs an operation for displaying the evaluation data to be checked to the input / output device 210, the display unit 250 determines that it has received a switching operation of the display image. For example, when the user inputs an operation for changing the scale of the map of the display image to the input / output device 210, the display unit 250 determines that it has received a switching operation of the display image. When the display unit 250 determines that it has received a switching operation of the display image, it returns to the process of step S110 and repeats the process. When the display unit 250 determines that it has not received a switching operation of the display image, it executes the process of step S160.

[0037] In step S160, the display unit 250 determines whether it has received an operation to end the display of the display image. When the user inputs an operation for ending the display of the display image to the input / output device 210, the display unit 250 determines that it has received an operation to end the display of the display image. When the display unit 250 determines that it has received an operation to end the display of the display image, it ends the display of the display image. When the display unit 250 determines that it has not received an operation to end the display of the display image, it returns to the process of step S150 and repeats the process.

[0038] In this way, the user can check the evaluation data according to the scale of the map. Thereby, the user can easily grasp the evaluation data.

[0039] (Method for calculating evaluation data) In step S120 of FIG. 6, a method for the data calculation unit 160 of the agricultural information management device 100 to calculate evaluation data will be described. The data calculation unit 160 executes the process shown in FIG. 7 to calculate the evaluation data.

[0040] In step S122, the data calculation unit 160 determines an aggregation section according to the scale of the map displayed in the display image. When the scale of the map is large and a region is displayed in the display image as shown in FIG. 2, the data calculation unit 160 determines, as the aggregation section, a region obtained by dividing the region displayed in the display image into a plurality of parts. For example, the aggregation section is determined independently of the field region 400 (e.g., the position, shape, etc. of the field region 400), such as a region surrounded by a latitude line 450 and a longitude line 455, regardless of geographical information such as the position and shape of the field region 400.

[0041] Also, as shown in FIG. 3, when the scale of the map is such that a plurality of field regions 400 are displayed in the display image, the data calculation unit 160 determines the field region 400 as the aggregation section.

[0042] Furthermore, as shown in FIG. 4, when the scale of the map is such that a small number, for example, three or less, of field regions 400 are displayed in the display image, the data calculation unit 160 determines, as the aggregation section, a small region obtained by dividing the field region 400.

[0043] The data calculation unit 160 may determine the aggregation section by comparing the scale of the map displayed in the display image with two thresholds. For example, when the scale of the map is equal to or greater than the first scale, the data calculation unit 160 determines, as the aggregation section, a region obtained by dividing the region displayed in the display image into a plurality of parts as shown in FIG. 2. When the scale of the map is smaller than the first scale and equal to or greater than the second scale, the data calculation unit 160 determines the field region 400 as the aggregation section as shown in FIG. 3. When the scale of the map is smaller than the second scale, the data calculation unit 160 determines, as the aggregation section, a small region obtained by dividing the field region 400 as shown in FIG. 4.

[0044] In step S124 shown in FIG. 7, the data calculation unit 160 calculates the area of the farmland area 400 included in each determined aggregation section. For example, as shown in FIG. 2, when the aggregation section is an area surrounded by the latitude line 450 and the longitude line 455, the data calculation unit 160 adds the areas of each farmland area 400 included in the aggregation section. Here, as shown in FIG. 8, when the farmland area 400 is included in a plurality of aggregation sections, the farmland area 400 is divided by the boundary line of the aggregation section, and the area of the farmland area 400 included in each aggregation section is calculated. For example, when the boundary line of the aggregation section is the latitude line 450 and the longitude line 455, the data calculation unit 160 divides the farmland area 400 by the latitude line 450 and the longitude line 455. The data calculation unit 160 calculates the area of the divided first divided area 401, the area of the second divided area 402, the area of the third divided area 403, and the area of the fourth divided area 404. The calculated area of the divided area is added to the areas of other farmland areas 400 included in the corresponding aggregation section as the area of the farmland area 400 included in the aggregation section.

[0045] As shown in FIG. 3, when the aggregation section is the farmland area 400, the data calculation unit 160 calculates the area of the farmland area 400 and determines the acquired area as the area of the farmland area 400 included in the aggregation section.

[0046] As shown in FIG. 4, when the aggregation section is a small area obtained by dividing the farmland area 400, the data calculation unit 160 calculates the area of the small area and determines the calculated area as the area of the farmland area 400 included in the aggregation section.

[0047] In step S126 shown in FIG. 7, the data calculation unit 160 calculates evaluation data for the aggregation plan based on the agricultural data 300 of the field areas 400 included in the aggregation plan. For example, as shown in FIG. 2, when the aggregation plan is an area surrounded by the latitude line 450 and the longitude line 455, the data calculation unit 160 calculates evaluation data based on the agricultural data 300 of each field area 400 included in the aggregation plan. For example, when calculating the total harvest amount as the evaluation data, the data calculation unit 160 extracts the total harvest amount of each field area 400 from the agricultural data 300 of each field area 400 included in the aggregation plan. By adding the extracted total harvest amounts, the data calculation unit 160 calculates the total harvest amount in the aggregation plan.

[0048] Also, the data calculation unit 160 may calculate the harvest amount per unit area as the evaluation data. At this time, the data calculation unit 160 calculates the total harvest amount in the aggregation plan. By dividing the calculated total harvest amount by the area of the field areas 400 within the aggregation plan calculated in step S124, the data calculation unit 160 calculates the harvest amount per unit area.

[0049] As shown in FIG. 8, when the field area 400 is included in a plurality of aggregation plans, the data calculation unit 160 calculates the evaluation data of the field area 400 included in the aggregation plan according to the ratio of the area of the divided area obtained by dividing the field area 400 by the boundary line of the aggregation plan to the area of the field area 400. For example, when calculating the total harvest amount as the evaluation data for the aggregation plan including the first divided area 401, the data calculation unit 160 extracts the total harvest amount, which is the agricultural data 300 of the field area 400 corresponding to the evaluation data. The data calculation unit 160 multiplies the extracted total harvest amount by the ratio of the area of the first divided area 401 to the area of the field area 400 to calculate the total harvest amount of the first divided area 401. The total harvest amount of the aggregation plan is calculated by adding the total harvest amount of the first divided area 401 to the total harvest amounts of the other field areas 400. Similarly for the second divided area 402, the third divided area 403, and the fourth divided area 404, the data calculation unit 160 calculates the evaluation data of the corresponding aggregation plan.

[0050] As shown in FIG. 3, when the aggregation plan is the field area 400, the data calculation unit 160 extracts the agricultural data 300 in the field area 400, and determines the extracted agricultural data 300 as the evaluation data of the aggregation plan. For example, when calculating the yield per unit area as the evaluation data, the data calculation unit 160 extracts the yield per unit area in the field area 400, and determines the extracted yield per unit area as the evaluation data in the aggregation plan. Also, the total yield per unit area may be calculated by dividing the total yield in the field area 400 by the area of the field area 400.

[0051] As shown in FIG. 4, when the aggregation plan is a small area obtained by dividing the field area 400, the data calculation unit 160 extracts the agricultural data 300 in the small area, and determines the extracted agricultural data 300 as the evaluation data of the aggregation plan. For example, when calculating the yield per unit area as the evaluation data, the data calculation unit 160 extracts the yield per unit area in the small area, and determines the extracted yield per unit area as the evaluation data in the aggregation plan. Also, the total yield per unit area may be calculated by dividing the total yield in the small area by the area of the small area.

[0052] In this way, the data calculation unit 160 calculates the evaluation data in the aggregation plan.

[0053] (Modification example) The configuration described in the embodiment is an example, and the configuration can be changed as long as the function is not inhibited. For example, the data calculation unit 160 may calculate the meteorological information in the aggregation plan, such as temperature, precipitation, etc. At this time, the display image generation unit 170 generates a display image that represents the calculated meteorological information in association with the aggregation plan.

[0054] The data calculation unit 160 has shown an example of selecting from three types of aggregation sections according to the scale of the map displayed in the display image, but is not limited to this. The data calculation unit 160 may select from two types of aggregation sections according to the scale of the map displayed in the display image. For example, the data calculation unit 160 compares the scale of the map with one threshold value to determine the aggregation section. When the scale of the map is equal to or greater than the first scale, the data calculation unit 160 determines, as the aggregation section, an area obtained by dividing the area displayed in the display image into a plurality of areas. When the scale of the map is smaller than the first scale, the field area 400 is determined as the aggregation section.

[0055] Further, the data calculation unit 160 may compare the scale of the map with three or more threshold values to determine the aggregation section. When the scale of the map is equal to or greater than the first scale, the data calculation unit 160 determines, as the aggregation section, an area surrounded by two parallel first straight lines and two parallel second straight lines that intersect the first straight line. When the scale of the map is smaller than the first scale and equal to or greater than the second scale, the data calculation unit 160 determines, as the aggregation section, an area surrounded by two parallel third straight lines and two parallel fourth straight lines that intersect the third straight line. Here, the interval between adjacent first straight lines is larger than the interval between adjacent third straight lines. Also, the interval between adjacent second straight lines is larger than the interval between adjacent fourth straight lines. In this way, when the data calculation unit 160 uses, as the aggregation section, an area obtained by dividing the area displayed in the display image, it may determine aggregation sections of different sizes according to the scale of the map.

[0056] Further, when the data calculation unit 160 uses, as the aggregation section, an area obtained by dividing the area displayed in the display image, it may determine aggregation sections of different sizes according to the scale of the map without using a threshold value. The data calculation unit 160 may determine, as the aggregation section, an area obtained by dividing the area displayed in the display image into a predetermined number, for example, nine areas.

[0057] As shown in FIG. 8, when the field area 400 is included in a plurality of aggregation sections, the data calculation unit 160 may calculate evaluation data based on the agricultural data 300 of the small areas included in the field area 400. For example, the data calculation unit 160 extracts the small areas included in the first divided area 401. The data calculation unit 160 calculates the evaluation data included in the first divided area 401 based on the agricultural data 300 in the extracted small areas. For example, when calculating the total harvest amount, the data calculation unit 160 adds the total harvest amounts of the respective small areas included in the first divided area 401 to calculate the total harvest amount in the first divided area 401.

[0058] The data calculation unit 160 may use the average value calculated from the agricultural data 300 of the field area 400 included in the aggregation section as the evaluation data of the aggregation section. For example, the data calculation unit 160 extracts the yield per unit area of the field area 400 included in the aggregation section from the agricultural data 300. The data calculation unit 160 calculates the average value of the extracted yield per unit area as the yield per unit area in the aggregation section.

[0059] The data calculation unit 160 may use statistical quantities calculated from the agricultural data 300 of the field area 400 included in the aggregation section, such as the median, the mode, the variation, etc., as the evaluation data of the aggregation section. For example, the data calculation unit 160 calculates, as evaluation data, statistical quantities related to the yield per unit area, the total harvest amount, etc. as data representing the harvest amount in the aggregation section. Also, the data calculation unit 160 calculates, as evaluation data, statistical quantities related to the fertilization amount per unit area, the total fertilization amount, etc. as data representing the fertilization amount in the aggregation section. Further, the data calculation unit 160 calculates, as evaluation data, statistical quantities related to the pesticide application amount per unit area, the total pesticide application amount, etc. as data representing the pesticide application amount in the aggregation section. Furthermore, the data calculation unit 160 calculates, as evaluation data, statistical quantities related to the fuel consumption amount per unit area, the total fuel consumption amount, etc. as data representing the fuel consumption amount in the aggregation section.

[0060] As shown in FIG. 9, the display image generation unit 170 may generate a display image representing the locus 440 of the work vehicle 30 on a map. For example, the display image generation unit 170 acquires the position of the work vehicle 30 at each time from the agricultural data 300, and calculates the locus 440 along which the work vehicle 30 has moved by connecting the positions at each time. The display image generation unit 170 generates a display image representing the calculated locus 440 on a map.

[0061] Furthermore, the display image generation unit 170 may determine whether to display the locus 440 of the work vehicle 30 according to the scale of the map to be displayed in the display image. For example, the display image generation unit 170 may not display the locus 440 of the work vehicle 30 in the field area 400 when the scale of the map is equal to or greater than the first scale, and may display the locus 440 of the work vehicle 30 in the field area 400 when the scale of the map is smaller than the first scale. Also, the display image generation unit 170 may display the locus 440 of the work vehicle 30 that is not included in the field area 400 when the scale of the map is equal to or greater than the first scale, and may not display the locus 440 of the work vehicle 30 that is not included in the field area 400 when the scale of the map is smaller than the first scale.

[0062] The embodiments and modifications described above are merely examples, and the configurations described in each of the embodiments and modifications may be arbitrarily changed or / and arbitrarily combined within a range that does not inhibit the functions. Furthermore, if the required functions can be realized, some of the functions described in the embodiments and modifications may be omitted. For example, the display image generation unit 170 may be executed on the terminal 200. In this case, the data calculation unit 160 of the agricultural information management device 100 transmits the evaluation data calculated in step S120 of FIG. 6 and the map information to the display image generation unit 170 of the terminal 200. The display image generation unit 170 and the display unit 250 of the terminal 200 execute the steps after step S130 shown in FIG. 6. By transmitting the evaluation data from the arithmetic unit 120 of the agricultural information management device 100 to the terminal 200, the communication load is reduced as compared with the case of transmitting the agricultural data 300. Also, the display image generation unit 170 may generate a display image representing only the locus 440 of the work vehicle 30 without representing the evaluation data of the aggregation section.

Explanation of Reference Numerals

[0063] 1, 2: Memory medium 20: Network 30: Work vehicle 100: Agricultural information management device 110: Input / output device 120: Arithmetic unit 130: Communication device 140: Memory device 150: Data holding section 160: Data calculation section 170: Display image generation section 180: Response section 200: Terminal 210: Input / output device 220: Arithmetic unit 230: Communication device 240: Memory device 250: Display section 300: Agricultural data 310: Agricultural information management program 320: Display program 400: Field area 401: First divided area 402: Second divided area 403: Third divided area 404: Fourth divided area 410: Regional agricultural data 420: Field agricultural data 430: Small area agricultural data 435: Agricultural data legend 440: Trajectory 450: Latitude line 455: Longitude line 1000: Agricultural information management system

Claims

1. A data holding unit that holds agricultural data related to the cultivation of crops in a plurality of field areas; A display image generation unit that associates an aggregation plan with evaluation data related to the cultivation of crops in the aggregation plan and generates a display image represented on a map; A data calculation unit that determines the aggregation plan according to the scale of the map displayed in the display image and calculates the evaluation data based on the agricultural data; comprising: When the scale of the map is equal to or greater than a first scale, the data calculation unit determines the aggregation plan regardless of the plurality of field areas An agricultural information management system.

2. When the scale of the map is equal to or greater than the first scale, the data calculation unit determines, as the aggregation plan, an area obtained by dividing the area displayed in the display image into a plurality of parts The agricultural information management system according to claim 1.

3. When the scale of the map is equal to or greater than the first scale, the aggregation plan represents an area surrounded by two parallel first straight lines and two parallel second straight lines intersecting the first straight line The agricultural information management system according to claim 1 or 2.

4. In a first field area included in a plurality of the aggregation plans among the plurality of field areas, the data calculation unit calculates the evaluation data from the agricultural data based on the ratio between the area included in the aggregation plan in the first field area and the area of the first field area The agricultural information management system according to any one of claims 1 to 3.

5. The data holding unit holds the agricultural data in a plurality of divided areas obtained by dividing a second field area among the plurality of field areas, When the scale of the map is smaller than a second scale, the data calculation unit determines the divided area as the aggregation plan The agricultural information management system according to any one of claims 1 to 4.

6. When the scale of the map is smaller than the first scale and is equal to or greater than the second scale, the data calculation unit determines the field area as the aggregation section. The agricultural information management system according to any one of claims 1 to 5.

7. The data storage unit stores the trajectories of the work vehicles used in the farming operations performed in the plurality of field areas. The display image generation unit When the scale of the map is equal to or greater than the third scale, generates the display image representing the trajectories of the work vehicles outside the plurality of field areas without representing the trajectories of the work vehicles within the plurality of field areas. When the scale of the map is smaller than the third scale, generates the display image representing the trajectories of the work vehicles within the plurality of field areas. The agricultural information management system according to any one of claims 1 to 6.

8. The evaluation data is data representing at least one of the amount of fertilizer applied, the amount of pesticide sprayed, the fuel consumption, the yield, and the soil nutrient value. The agricultural information management system according to any one of claims 1 to 7.

9. A data storage unit that stores the trajectories of the work vehicles used in the farming operations performed in a plurality of fields, A display image generation unit that generates a display image representing the trajectories of the work vehicles on a map, comprising: The display image generation unit When the scale of the map is equal to or greater than the third scale, generates the display image representing the trajectories of the work vehicles outside the plurality of field areas without representing the trajectories of the work vehicles within the plurality of field areas. When the scale of the map is smaller than the third scale, generates the display image representing the trajectories of the work vehicles within the plurality of field areas. An agricultural information management system.

10. Associating an aggregation plan with evaluation data regarding cultivation of agricultural crops in the aggregation plan, and generating a display image represented on a map; Determining the aggregation plan according to the scale of the map, and calculating the evaluation data based on agricultural data regarding cultivation of agricultural crops in a plurality of farm areas; Causing a computing device to execute; Calculating the evaluation data includes: When the scale of the map is equal to or greater than a first scale, determining the aggregation plan regardless of the boundaries of the plurality of farm areas, with the boundary of the aggregation plan exceeding the boundaries of the plurality of farm areas; A program including the above.

11. Associating an aggregation plan with evaluation data regarding cultivation of agricultural crops in the aggregation plan, and generating a display image represented on a map; Determining the aggregation plan according to the scale of the map, and calculating the evaluation data based on agricultural data regarding cultivation of agricultural crops in a plurality of farm areas; Including: Calculating the evaluation data includes: When the scale of the map is equal to or greater than a first scale, determining the aggregation plan regardless of the boundaries of the plurality of farm areas, with the boundary of the aggregation plan exceeding the boundaries of the plurality of farm areas; An agricultural information management method including the above.

12. Keeping the trajectories of work vehicles used in farming operations performed in a plurality of farms; Generating a display image representing the trajectories of the work vehicles on a map; Including: Generating the display image includes: When the scale of the map is equal to or greater than a third scale, generating the display image representing the trajectories of the work vehicles outside the plurality of farm areas without representing the trajectories of the work vehicles within the plurality of farm areas; When the scale of the map is smaller than the third scale, generating the display image representing the locus of the work vehicle within the plurality of farmland areas; An agricultural information management method including the above.

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