Field management method, field management system, and field management program

Abstract

To efficiently extract a farm field subjected to special treatment from multiple farm fields included in a management target.SOLUTION: A farm field management method includes: acquiring (S1) distribution information representing at least one distribution among the growing condition of crops or the yield of the crops in multiple individual farm fields (9); extracting (S2) the farm fields (92, 93) whose distribution satisfies a prescribed condition, among the multiple farm fields (9); and notifying (S3) the outside of the extracted farm fields (92, 93).SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to a farm field management method, a farm field management system, and a farm field management program, which can be suitably used, for example, for managing fertilization in a plurality of farm fields. [Background technology]

[0002] It is desirable for the yield of crops grown in a certain field to be uniform regardless of the location within the field. When the yield varies depending on the location of the field, a technique called variable fertilization is used, in which the amount of fertilizer applied to areas with relatively low yields is greater than the amount of fertilizer applied to areas with relatively high yields. To perform variable fertilization, the yield of each of multiple small areas into which the field is divided is examined, and it is determined whether special measures such as variable fertilization are necessary. If necessary, a fertilization map is created in which the amount of fertilizer to be applied for each small area is determined according to the distribution of yields in the field.

[0003] In relation to the above, Patent Document 1 (JP 2020-141623 A) discloses a fertilization map creation device. This fertilization map creation device creates a fertilization map in which the amount of fertilizer to be applied to a field is determined for each small area obtained by dividing the field into a mesh, according to the growth status of crops in each small area.

[0004] In Patent Document 1, a user inputs their user ID into a fertilization map creation device to select a specific field for which they wish to create a fertilization map from among multiple fields owned by the user. The fertilization map creation device extracts multiple fields linked to this user ID from all fields managed by the fertilization map creation device, and the user selects a field from the extracted multiple fields for which a fertilization map will be created. At this time, the user determines whether or not to create a fertilization map for that field by referencing various data linked to each field. Thus, in Patent Document 1, extracting a field that will be subject to special treatment from among multiple fields managed is complicated. [Prior art documents] [Patent documents]

[0005] [Patent Document 1] Patent Publication No. 2020-141623 Summary of the Invention [Problem to be solved by the invention]

[0006] In view of the above situation, the present disclosure aims to identify fields that are subject to special treatment from among multiple fields included in the management target. Fertilization as It is an object of the present invention to provide a field management method, a field management system, and a field management program for efficiently extracting fields that are the subject of the above. Other objects and novel features will become apparent from the description of this specification and the accompanying drawings. [Means for solving the problem]

[0007] The following describes the means for solving the problems using the numbers used in the (Mode for Carrying Out the Invention). These numbers are added to clarify the correspondence between the statements in the (Claims) and the (Mode for Carrying Out the Invention). However, these numbers should not be used to interpret the technical scope of the invention described in the (Claims).

[0008] According to one embodiment, the field management method includes acquiring (S1) distribution information representing the distribution of at least one of the crop growth conditions or crop yields in each of a plurality of fields (9), extracting (S2) fields (92, 93) from the plurality of fields (9) whose distribution satisfies predetermined conditions, and notifying the outside of the extracted fields (92, 93) (S3).

[0009] According to one embodiment, the farm field management system (1) includes an acquisition unit (221), an extraction unit (222), and an output unit (223). The acquisition unit (221) acquires distribution information representing the distribution of at least one of the crop growth conditions or crop yields in each of a plurality of farm fields (9). The extraction unit (222) extracts, from the plurality of farm fields (9), fields (92, 93) whose distribution satisfies a predetermined condition. The output unit (223) notifies the outside of the extracted farm fields (92, 93).

[0010] According to one embodiment, the farm field management program is executed to realize a predetermined process, which includes acquiring (S1) distribution information representing the distribution of at least one of the crop growth conditions or crop yields in each of a plurality of farm fields (9), extracting (S2) fields (92, 93) from the plurality of farm fields (9) whose distribution satisfies a predetermined condition, and notifying (S3) the extracted farm fields (92, 93) to the outside. [Effects of the Invention]

[0011] According to one embodiment, it is possible to efficiently extract fields to be treated individually from among a plurality of fields included in the management target. [Brief explanation of the drawings]

[0012] [Figure 1] FIG. 1 is a diagram showing an example of the configuration of a farm land management system according to an embodiment. [Figure 2] FIG. 2 is a flowchart showing an example of the configuration of a farmland management method according to an embodiment. [Figure 3] FIG. 3 is a diagram illustrating an example of map information according to an embodiment. [Figure 4A] FIG. 4A is a diagram illustrating an example of distribution information according to one embodiment. [Figure 4B] FIG. 4B is a diagram for explaining a method of dividing a farm field into small mesh-like regions in map information according to one embodiment. [Figure 5]FIG. 5 is a diagram illustrating another example of distribution information according to an embodiment. [Figure 6] FIG. 6 is a diagram illustrating yet another example of distribution information according to an embodiment. [Figure 7] FIG. 7 is a diagram illustrating an example of notification information according to an embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0013] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Embodiments for implementing a farm field management method, a farm field management system, and a farm field management program according to the present disclosure will be described below with reference to the accompanying drawings.

[0014] (Embodiment) 1, a farm land management system 1 according to an embodiment includes a farm land management device 2. The farm land management system 1 according to an embodiment may further include an external terminal 3. The farm land management device 2 and the external terminal 3 may be connected to each other via a network 4 so as to be able to communicate with each other.

[0015] The farm land management device 2 according to one embodiment may be configured as a so-called computer. That is, the farm land management device 2 includes a bus 21, a calculation device 22, a storage device 23, a communication device 24, and an input / output device 25. The bus 21 is a member and / or device that connects the calculation device 22, the storage device 23, the communication device 24, and the input / output device 25 so that they can communicate with each other.

[0016] The calculation device 22 includes an acquisition unit 221, an extraction unit 222, and an output unit 223. The storage device 23 includes a field management program storage unit 231, a field data storage unit 232, and a distribution data storage unit 233. The field management program storage unit 231 stores the field management program. The field data storage unit 232 stores the field data. The distribution data storage unit 233 stores the distribution data.

[0017] By executing the farm land management program, the arithmetic device 22 realizes the processing of the acquisition unit 221, extraction unit 222, and output unit 223. In other words, the acquisition unit 221, extraction unit 222, and output unit 223 are virtual function blocks that perform processing realized by the arithmetic device 22 and the farm land management program working together. The processing of these function blocks will be described later.

[0018] The farm land management program may be read from an external recording medium 230 and stored in the farm land management program storage unit 231. The recording medium 230 may be a non-transitory and tangible medium.

[0019] The communication device 24 is controlled by the acquisition unit 221 and the output unit 223, and communicates with external devices including the external terminal 3 by wireless communication and / or wired communication via the network 4. The farm field management program may be received by the communication device 24 from the outside via the network 4 and stored in the farm field management program storage unit 231.

[0020] The input / output device 25 outputs information to the user and accepts operations input by the user. As an example, the input / output device 25 includes a display device that outputs images, a speaker that outputs audio, buttons that accept press operations, a microphone that accepts audio input, a touch panel that accepts touch operations and outputs images, etc.

[0021] The external terminal 3 according to one embodiment may be configured as a so-called computer. That is, the external terminal 3 includes a bus 31, a computing device 32, a storage device 33, a communication device 34, and an input / output device 35. The bus 31 is a member and / or device that connects the computing device 32, the storage device 33, the communication device 34, and the input / output device 35 so that they can communicate with each other.

[0022] The arithmetic unit 32 includes a communication unit 321 and an output unit 323. The storage device 33 includes an external terminal program storage unit 331. The external terminal program storage unit 331 stores an external terminal program.

[0023] The arithmetic device 32 executes the external terminal program to realize the processes of the communication unit 321 and the output unit 323. In other words, the communication unit 321 and the output unit 323 are virtual function blocks that perform processes realized by the arithmetic device 32 and the external terminal program working together. The processes of these function blocks will be described later.

[0024] The external terminal program may be read from an external recording medium 330 and stored in the external terminal program storage unit 331. The recording medium 330 may be a non-transitory and tangible medium.

[0025] The communication device 34 communicates with external devices including the farm land management device 2 by wireless communication and / or wired communication via the network 4, for example, under the control of the communication unit 321. The external terminal program may be received by the communication device 34 from the outside via the network 4 and stored in the external terminal program storage unit 331.

[0026] The input / output device 35 outputs information to the user under the control of the output unit 323. The input / output device 35 may further receive operations input by the user. As an example, the input / output device 25 includes a display device that outputs images, a speaker that outputs audio, buttons that receive press operations, a microphone that receives audio input, a touch panel that receives touch operations and outputs images, and the like.

[0027] An example of the configuration of a farm land management method according to an embodiment will be described with reference to the flowchart of Figure 2. In other words, an example of the operation of the farm land management system 1 according to an embodiment will be described.

[0028] 2 starts, step S1 is executed. In step S1, the arithmetic device 22 of the farm field management device 2 executes a farm field management program to realize the processing of the acquisition unit 221, and the acquisition unit 221 acquires distribution information of the farm field. As an example, the acquisition unit 221 controls the communication device 24 to receive distribution information from an external server or the like via the network 4, and stores the received distribution information in the distribution data storage unit 233 of the storage device 23. The acquisition unit 221 may receive distribution information for each of a plurality of farm fields included in the management target of the farm field management system 1, and store the received plurality of pieces of distribution information in the distribution data storage unit 233 as distribution data.

[0029] The field distribution information acquired by the acquisition unit 221 is, for example, distribution information of yield data representing the yield of crops harvested in each of the multiple fields included in the management target of the field management system 1. Here, the distribution of crop yield in each field may be a set of values ​​representing the yield per unit area in each of multiple small regions obtained by dividing each field into a mesh. Values ​​representing past harvest yields, such as those from the previous year, may also be used.

[0030] Figure 3 is a diagram showing an example of map information 51 according to one embodiment. In Figure 3, the area surrounded by a thick solid line indicates the location and range of multiple fields 9 included in the management target. It should be noted that the distribution information of the fields 9 described above is not information that represents the distribution of multiple fields 9 arranged on the ground.

[0031] After step S1, step S2 is executed. In step S2, the arithmetic unit 22 of the farm land management device 2 executes the farm land management program to realize the processing of the extraction unit 222, and the extraction unit 222 extracts farm land 9 whose distribution information satisfies predetermined extraction conditions from among the multiple farm land 9 included in the management target.

[0032] Here, we will explain a case where the distribution information is crop yield, the first extraction condition is whether the coefficient of variation, which represents the degree of variation in the distribution of yields in the field 9 of interest, is greater than a first threshold, and the second extraction condition is whether the average yield of the field 9 of interest is less than a second threshold. Here, the coefficient of variation is a percentage obtained by dividing the standard deviation by the average. When the field 9 satisfies the first extraction condition, the variation in yield of the field 9 is too high to meet a predetermined standard. In such a field 9, it is preferable to consider measures such as variable fertilization, in which a higher amount of fertilizer is applied in areas with relatively low yields and a lower amount of fertilizer is applied in areas with relatively high yields, in order to equalize the yield. Furthermore, when the field 9 satisfies the second extraction condition, it is estimated that the yield of the field 9 is too low to meet a predetermined standard. In such a field 9, it is preferable to consider measures such as increasing the amount of fertilizer applied throughout the field 9 in order to improve the yield. In the following specific example, the first threshold is 30 and the second threshold is 500 kg / bolt.

[0033] FIG. 4A is a diagram showing an example of distribution information 61 according to one embodiment. In the example of FIG. 4A, to clearly show the yield distribution information 61, a heat map is superimposed on the portion of the map information 51 shown in FIG. 3 that includes the field 91 of interest. The heat map represents the yield in different colors for each of a plurality of small areas that are obtained by dividing the field 91 into a mesh in the first and second directions. As shown in the legend information 71 in FIG. 4A, the maximum value represented by the heat map is 800 kg / tan, and the minimum value represented by the heat map is 300 kg / tan. The actual distribution information 61 includes the numerical value of the yield for each of the small areas of the field 91.

[0034] Note that, as an example, each of the multiple small regions shown in FIG. 4A may be a square of the same dimensions, as shown in FIG. 4B. In the example of FIG. 4B, the first direction and the second direction are the east-west direction (or longitude direction) and the north-south direction (or latitude direction), respectively, and are orthogonal to each other. Also, in the example of FIG. 4B, the mesh spacing in the first direction and the second direction is the same. However, the example of FIG. 4B is merely an example and does not limit the embodiment. As another example, the first direction and the second direction do not have to be orthogonal, and the combination of the first direction and the second direction may be a combination other than the east-west direction (or longitude direction) and the north-south direction (or latitude direction).

[0035] The extraction unit 222 calculates the average value of the yields of all small areas of the field 91, and uses this average value to calculate the coefficient of variation of the yields in each small area of ​​the field 91. The extraction unit 222 also determines whether the calculated coefficient of variation is greater than a first threshold, and determines whether the calculated average value is less than a second threshold. If the determination result shows that the coefficient of variation of the field 91 is equal to or less than the first threshold, and the average value of the field 91 is equal to or greater than the second threshold, the extraction unit 222 does not include the field 91 in the extraction targets.

[0036] In the case of Figure 4A, the coefficient of variation of the yield of field 91 is 13.04, which is less than the first threshold, so the variation in the yield of field 91 meets the standard, and field 91 does not meet the first extraction condition. In addition, the average yield of field 91 is 689.6 kg / tan, which is greater than or equal to the second threshold, so the yield of field 91 also meets the standard, and field 91 does not meet the second extraction condition. Therefore, the yield and variation of field 91 in Figure 4A are presumed to be normal, and field 91 is not included in the extraction targets for which special measures should be considered.

[0037] Figure 5 is a diagram showing another example of distribution information 62 according to one embodiment. In the example of Figure 5, to clearly show the yield distribution information 62, a heat map is superimposed on the portion of the map information 51 shown in Figure 3 that includes the field 92 of interest. The heat map represents the yield in different colors for each of a number of small areas that are obtained by dividing the field 92 into a mesh pattern. As shown in the legend information 72 in Figure 5, the maximum value represented by the heat map is 800 kg / tan, and the minimum value represented by the heat map is 300 kg / tan. The actual distribution information 62 includes the numerical value of the yield for each of the small areas of the field 92.

[0038] In the case of Figure 5, the average yield of field 92 is 548.7 kg / tan, which is above the second threshold, so the yield of field 92 meets the standard and field 92 does not meet the second extraction condition. On the other hand, the coefficient of variation of the yield of field 92 is 36.7, which is above the first threshold, so the variability of the yield of field 92 does not meet the standard and field 92 meets the first extraction condition. Therefore, although the yield of field 92 in Figure 5 is normal, it is inferred that special measures should be considered for the variability, and field 92 is selected as an extraction target.

[0039] In contrast to field 92 in Figure 5, field 9, where the yield variation meets the standard but the yield does not meet the standard, is also selected as a candidate for special measures.

[0040] Figure 6 is a diagram showing yet another example of distribution information 63 according to one embodiment. In the example of Figure 5, to clearly show the yield distribution information 63, a heat map is superimposed on the portion of the map information 51 shown in Figure 3 that includes the field 93 of interest. The heat map represents the yield in different colors for each of a number of small areas that are obtained by dividing the field 93 into a mesh pattern. As shown in the legend information 73 in Figure 6, the maximum value represented by the heat map is 300 kg / tan, and the minimum value represented by the heat map is 100 kg / tan. The actual distribution information 63 includes the numerical value of the yield for each of the small areas of the field 93.

[0041] In the case of Figure 6, the coefficient of variation of the yield of field 93 is 49.24, which is greater than or equal to the first threshold, so the variation in yield of field 93 does not meet the standard, and field 93 meets the first extraction condition. Furthermore, the average yield of field 93 is 192.4 kg / tan, which is less than the second threshold, so the yield of field 93 does not meet the standard, and field 93 also meets the second extraction condition. Therefore, it is inferred that special measures should be considered for both the yield and the variation in yield of field 93 in Figure 6, and field 93 is selected as an extraction target. Here, a field 9 that does not meet the standards in both yield and its variability, such as field 93 in Figure 6, may be extracted as a field 9 that requires priority treatment over a field 9 that does not meet the standards in either yield or its variability, such as field 92 in Figure 5.

[0042] Returning to Fig. 2, after step S2, step S3 is executed. In step S3, the arithmetic device 22 of the field management device 2 executes the field management program to realize processing of the output unit 223, and the output unit 223 notifies the user of the extracted fields 92, 93. As an example, the output unit 223 notifies the user of the extracted information indicating the field 9 that has been extracted as a field for which special measures should be considered, out of the multiple fields 9 included in the management target, by displaying it on the external terminal 3, for example.

[0043] The output unit 223 of the farm land management device 2 controls the communication device 24 to transmit the extracted information to the external terminal 3 via the network 4. Furthermore, the arithmetic device 32 of the external terminal 3 executes an external terminal program to realize the processing of the communication unit 321, and the communication unit 321 controls the communication device 34 to receive the extracted information. The communication unit 321 may store the received extracted information in the storage device 33. Furthermore, the arithmetic device 32 of the external terminal 3 executes an external terminal program to realize the processing of the output unit 323. The output unit 323 generates notification information for notifying the user of the extracted information, and controls the input / output device 35 to output the notification information. The output unit 323 displays an image representing the notification information on a touch panel included in the input / output device 35, for example.

[0044] Fig. 7 is a diagram showing an example of notification information 52 according to one embodiment. The notification information 52 in Fig. 7 highlights fields 92 and 93 extracted in step S2 from among the fields 9 shown in the map information 51 in Fig. 3. Here, field 93 extracted in step S2 as a field 9 requiring priority attention may be highlighted more than the other extracted fields 92. The highlighting may be performed, for example, by using different colors or different line thicknesses.

[0045] Returning to FIG. 2, when step S3 is completed, the processing of the flowchart in FIG. 2 ends.

[0046] By highlighting in this manner, the user can easily identify the fields 92 and 93 for which special measures should be considered, and can easily identify field 93 that has been extracted as a field 9 that requires priority measures among them. Therefore, the user can efficiently take priority measures for field 93 from among the multiple fields 9, and can also efficiently take special measures for field 92. Specifically, the user can efficiently identify, among the multiple fields 9, the field 93 for which the amount of fertilizer should be increased overall, and the fields 92 and 93 for which variable fertilization should be performed to adjust the amount of fertilizer for each small area.

[0047] In other words, the field management device 2 according to one embodiment suggests to the user that the amount of fertilizer applied be increased overall and / or variable fertilization be considered for fields 92, 93 that meet the extraction conditions from among the multiple fields 9 included in the management target.

[0048] (Variation) In the above embodiment, the configuration has been described in which the distribution information 61, 62, 63 of the field 9 is distribution information 61, 62, 63 of yield data that indicates the yield of crops harvested in the field 9. As a variation of this configuration, the distribution information 61, 62, 63 of the field 9 may be the distribution of growth conditions of crops grown in the field 9. The distribution of crop growth conditions may be, for example, distribution information of NDVI (Normalized Difference Vegetation Index) measured in each of a plurality of small regions obtained by dividing each field 9 into a mesh pattern. In this variation, in step S2 of the flowchart in FIG. 2 , the extraction unit 222 extracts, as a field 9 for which measures such as variable fertilization should be considered, those fields 9 for which the degree of variation in NDVI of crops among the plurality of small regions included in the field 9 is greater than a first threshold. Similarly, the extraction unit 222 extracts a field 9 in which the average NDVI value of crops in multiple small areas included in the field 9 is smaller than a second threshold as a field 9 in which measures such as increasing the overall amount of fertilizer should be considered. Furthermore, the extraction unit 222 may extract a field 9 in which the degree of variation in NDVI of crops among multiple small areas included in the field 9 is larger than the first threshold and the average NDVI value of crops in multiple small areas included in the field 9 is smaller than the second threshold as a field 9 in which measures should be taken with priority.

[0049] Furthermore, as another modified example of each configuration described as the above embodiment or its modified example, the distribution information 61, 62, 63 of the field 9 may include distribution information of fertilization data that indicates the amount of fertilizer applied in the field 9 in the past. Here, the distribution information of fertilization data may be fertilization data that indicates the amount of fertilizer applied to each of a plurality of small areas obtained by dividing the field 9 into a mesh pattern. If variable fertilization has been performed in the past and the degree of variation in the crop growth conditions and / or crop yields is greater than a predetermined threshold, the amount of fertilization for each small area may be adjusted based on the variable fertilization performed in the past, and the next variable fertilization to be performed may be determined.

[0050] In the above embodiment, a configuration has been described in which the extracted fields 92, 93 are notified to an external user via the input / output device 35 of the external terminal 3. As a variation of this configuration, the extracted fields 92, 93 may be notified to an external user via the input / output device 25 of the field management device 2. In this case, in step S3 of the flowchart in FIG. 2 , the arithmetic device 22 of the field management device 2 may execute the field management program to realize the processing of the output unit 223, and the output unit 223 may control the input / output device 25 to output the notification information 52. The output unit 223 may, for example, display an image representing the notification information 52 on a touch panel included in the input / output device 25.

[0051] In the above embodiment, a configuration has been described in which the coefficient of variation is used as a numerical value representing the degree of variation in the distribution of the yield of the target field 9. As a modification of this configuration, variance may be used instead of the coefficient of variation to represent the degree of variation. Variance is the square of the standard deviation. As an example, when the mean value is 689.6 and the standard deviation is 89.92, the coefficient of variation is 13.04 and the variance is 8086.30. When variance is used instead of the coefficient of variation, the threshold value used in the extraction condition is appropriately changed from the threshold value corresponding to the coefficient of variation to the threshold value corresponding to the variance.

[0052] The invention made by the inventor has been specifically described above based on the embodiments, but it goes without saying that the present invention is not limited to the embodiments and can be modified in various ways without departing from the spirit of the invention. Furthermore, the features described in the embodiments can be freely combined within the scope of technical compatibility. [Explanation of symbols]

[0053] 1. Field management system 2. Field management device 21 Bus 22 Arithmetic unit 221 Acquisition Department 222 Extraction part 223 Output section 23 Storage device 230 Recording Media 231 Field management program memory section 232 Field data storage unit 233 Distribution Data Storage Unit 24 Communication equipment 25 Input / Output Devices 3 External terminal 31 Bus 32 Arithmetic unit 321 Communications Department 323 Output Section 33 Storage device 330 Recording Media 331 External terminal program storage unit 34 Communication equipment 35 Input / Output Devices 4 Network 51 Map Information 52 Notification Information 61, 62, 63 Distribution information 71, 72, 73 Legend information 9. Field 91 Fields (fields not included in the extraction) Fields 92 and 93 (fields to be extracted)

Claims

1. an acquisition unit acquires distribution information representing a distribution of at least one of a growth condition of a crop or a yield of the crop in each of a plurality of farm fields; an extraction unit extracting a field from the plurality of fields, the distribution of which satisfies a predetermined condition; an output unit notifying the extracted farm field to the outside as a target for fertilization; Including, The obtaining includes: acquiring, as the distribution information in each of the farm fields, a value that represents at least one of the growth status of the crop or the yield of the crop in each of a plurality of small areas obtained by dividing each of the farm fields; Including, The extracting step comprises: extracting the farm fields that satisfy a first extraction condition that is satisfied when the degree of variation in the values ​​in each of the plurality of small regions is greater than a first threshold value, and a second extraction condition that is satisfied when the average value of the values ​​in each of the plurality of small regions is smaller than a second threshold value; Contains Field management methods.

2. The farmland management method according to claim 1, The distribution information is distribution information of NDVI (Normalized Difference Vegetation Index) representing the growth status of the crops in each of a plurality of small areas obtained by dividing each of the plurality of farm fields; Including, The predetermined condition is: The distribution information of the NDVI measured for each of the plurality of small areas of the farm field exists. Contains Field management methods.

3. The farmland management method according to claim 1 or 2, The distribution information is distribution information of yield data representing the yield of the crop in each of a plurality of small areas obtained by dividing each of the plurality of farm fields; Including, The predetermined condition is: the distribution information of the yield data measured for each of the plurality of small areas of the farm field exists; Contains Field management methods.

4. The farmland management method according to any one of claims 1 to 3, The notifying step includes: a field that satisfies both the first extraction condition and the second extraction condition is highlighted and notified so as to be distinguishable from a field that satisfies either the first extraction condition or the second extraction condition; Contains Field management methods.

5. an acquisition unit that acquires distribution information that represents a distribution of at least one of a growth status of a crop or a yield of the crop in each of a plurality of farm fields; an extraction unit that extracts fields whose distribution satisfies a predetermined condition from the plurality of fields; an output unit that notifies the outside of the extracted farm field as a target for fertilization; Equipped with the acquisition unit acquires, as the distribution information in each of the farm fields, a value representing at least one of the growth status of the crop or the harvest amount of the crop in each of a plurality of small areas obtained by dividing each of the farm fields; The extraction unit extracts the farm fields that satisfy a first extraction condition that is satisfied when a degree of variation in the values ​​in each of the plurality of small regions is greater than a first threshold value, and a second extraction condition that is satisfied when an average value of the values ​​in each of the plurality of small regions is smaller than a second threshold value. Field management system.

6. A farmland management program for implementing a predetermined process by executing the program, The process comprises: acquiring distribution information representing a distribution of at least one of a growth condition of a crop or a yield of the crop in each of a plurality of farm fields; extracting fields whose distribution satisfies a predetermined condition from the plurality of fields; notifying the extracted farm field to the outside as a target for fertilization; Including, The obtaining includes: acquiring, as the distribution information in each of the farm fields, a value that represents at least one of the growth status of the crop or the yield of the crop in each of a plurality of small areas obtained by dividing each of the farm fields; Including, The extracting step comprises: extracting the farm fields that satisfy a first extraction condition that is satisfied when the degree of variation in the values ​​in each of the plurality of small regions is greater than a first threshold value, and a second extraction condition that is satisfied when the average value of the values ​​in each of the plurality of small regions is smaller than a second threshold value; Contains Field management program.

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