Information processing device, information processing method, and program

Abstract

To evaluate the functionality of closed conduit drainage water in a farm field using a simplified configuration.SOLUTION: An information processing device (1) comprises an acquisition unit (111) that acquires the red reflectance and near-infrared reflectance of a farm field, a first calculation unit (112) that calculates a value of a dryness index indicating the degree of dryness of the farm field by referring to the red reflectance and near-infrared reflectance, and a second calculation unit (113) that calculates a value of an index indicating the drainage function of the closed conduit by referring to the value of the dryness index calculated by the first calculation unit, the value of the dryness index when the farm field is in a wet state, and the value of the dryness index when the farm field is in a dry state.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to an information processing device, an information processing method, and a program for evaluating the drainage function of an underdrain in a farm field. [Background technology]

[0002] When a field that was previously used as a paddy field is converted into farmland, it is necessary to drain the water from the field, which is why there is a demand for technology to evaluate the drainage of the field.

[0003] For example, Non-Patent Document 1 describes a technique for evaluating drainage using Sentinel-1 satellite data. Specifically, the technique uses the Sentinel-1 satellite data to calculate the backscatter coefficient (σ 0 ) and VV polarized and VH polarized SAR (Synthetic Aperture Radar) images are acquired. Then, σ of VH polarized 0 The section average (dB) is on the X axis, and σ of VV polarization is on the σ axis. 0 Create a graph with the section average (dB) on the Y axis, and measure the σ of the VH polarization. 0 Non-Patent Document 1 describes a configuration in which a section whose section average is equal to or greater than a threshold Z for discrimination is judged to have poor drainage, and a section whose section average is less than the threshold Z for discrimination is judged to have good drainage. [Prior art documents] [Non-patent literature]

[0004] [Non-Patent Document 1] Masato Fukumoto and Kengo Shinohara, Evaluation of Paddy Field Drainage Using Sentinel-1 Satellite Data, December 2022 Summary of the Invention [Problem to be solved by the invention]

[0005] In order to drain moisture from farm fields, it is essential to use underdrainage systems that drain the moisture from the field from underground. The drainage function of underdrainage systems deteriorates year by year due to work in the field, so there is a need for a technology to evaluate the function of underdrainage systems. However, the above-mentioned Non-Patent Document 1 is unable to evaluate the function of underdrainage systems.

[0006] In addition, in the past, the function of underdrainage was evaluated by installing a flow meter at the outlet of the underdrain and measuring the discharge volume. However, it is not realistic to install flow meters in all underdrainage. Therefore, there is a need for a technology that can evaluate the function of underdrainage in agricultural fields with a simple configuration.

[0007] An object of one aspect of the present invention is to realize a technology for evaluating the function of underdrainage in a farm field with a simple configuration. [Means for solving the problem]

[0008] In order to solve the above problem, an information processing device according to one embodiment of the present invention includes an acquisition unit that acquires red reflectance and near-infrared reflectance of one or more fields; a first calculation unit that refers to the red reflectance and near-infrared reflectance and calculates a dryness index value that indicates the degree of dryness of each of the one or more fields; and a second calculation unit that refers to the dryness index value calculated by the first calculation unit, the dryness index value when the field is wet, and the dryness index value when the field is dry, for each of the one or more fields, and calculates a value of an index that indicates the drainage function of an underdrain in the field.

[0009] In order to solve the above problem, an information processing method according to one embodiment of the present invention includes an acquisition process for acquiring the red reflectance and near-infrared reflectance of one or more fields; a first calculation process for calculating a dryness index value indicating the degree of dryness of each of the one or more fields by referring to the red reflectance and near-infrared reflectance; and a second calculation process for calculating, for each of the one or more fields, a dryness index value calculated in the first calculation process, a dryness index value when the field is in a wet state, and a dryness index value when the field is in a dry state, and calculating an index value indicating the drainage function of an underdrain in each of the one or more fields.

[0010] The information processing device according to each aspect of the present invention may be realized by a computer. In this case, the information processing device program that causes the computer to operate as each part (software element) of the information processing device to realize the information processing device on the computer, and the computer-readable recording medium on which the program is recorded, also fall within the scope of the present invention. [Effects of the Invention]

[0011] According to one aspect of the present invention, the function of underdrain drainage in a farm field can be evaluated with a simple configuration. [Brief explanation of the drawings]

[0012] [Figure 1] 1 is a block diagram showing a configuration of an information processing device according to a first embodiment of the present invention. [Figure 2] 1 is a graph showing the relationship between red reflectance and near-infrared reflectance in a farm field. [Figure 3] 1 is a graph showing the relationship between a drainage function index and an underdrain discharge rate according to the first embodiment of the present invention. [Figure 4] FIG. 3 is a diagram showing an example of data output by an output unit according to the first embodiment of the present invention. [Figure 5] 1 is a flowchart showing a flow of processing executed by an information processing device according to a first embodiment of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0013] [Embodiment 1] Hereinafter, one embodiment of the present invention will be described in detail with reference to FIGS.

[0014] (Overview of information processing device 1) The information processing device 1 according to this embodiment is a device that calculates the value of an index indicating the drainage function of an underdrain in each of one or more farm fields. An example of an underdrain in this embodiment is this underdrain. Specific examples of the information processing device 1 include, but are not limited to, a server and a desktop PC (Personal Computer).

[0015] The information processing device 1 calculates the value of an index indicating the drainage function of a culvert by referring to a satellite image SI, which is an image taken by a satellite and includes one or more farm fields as its subject. As an example, the satellite image SI is an image showing the red reflectance of the subject. As another example, the satellite image SI is an image showing the near-infrared reflectance of the subject. In the following, each farm field refers to, but is not limited to, each farm field the size of a plot of land.

[0016] The information processing device 1 also outputs the value of an index indicating the drainage function of the underdrain in each of the farm fields. As one example, the information processing device 1 outputs the value of an index indicating the drainage function of the underdrain in each of the farm fields to another device (for example, a PC or a smartphone). As another example, the information processing device 1 outputs the value of an index indicating the drainage function of the underdrain in each of the farm fields to a display device.

[0017] (Configuration of information processing device 1) The configuration of the information processing device 1 will be described with reference to Fig. 1. Fig. 1 is a block diagram showing the configuration of the information processing device 1 according to this embodiment. As shown in Fig. 1, the information processing device 1 includes a control unit 11, a storage unit 12, an input / output unit 13, and a communication unit 14.

[0018] (Storage unit 12) The storage unit 12 stores data referenced by the control unit 11. Examples of the storage unit 12 include, but are not limited to, a flash memory, a hard disk drive (HDD), a solid state drive (SSD), or a combination thereof.

[0019] Examples of data stored in the storage unit 12 include multiple satellite images SI, a dryness index DI, a minimum dryness index DI_MIN, a maximum dryness index DI_MAX, and a drainage function index DFI. The satellite images SI are as described above. The dryness index DI, the minimum dryness index DI_MIN, the maximum dryness index DI_MAX, and the drainage function index DFI will be described later.

[0020] (Input / output section 13) The input / output unit 13 is an interface for connecting an input device that accepts data input from a user or an output device that outputs data supplied from the control unit 11 to a user. Examples of input devices include, but are not limited to, a keyboard, a mouse, and a touchpad. Examples of output devices include, but are not limited to, a liquid crystal display and a speaker.

[0021] As one example, the input / output unit 13 supplies data indicating an input received via an input device to the control unit 11. As another example, the input / output unit 13 supplies data supplied from the control unit 11 to an output device.

[0022] (Communications Department 14) The communication unit 14 is an interface for transmitting and receiving data via a network. Examples of the communication unit 14 include, but are not limited to, communication chips for various communication standards such as Ethernet (registered trademark), Wi-Fi (Wireless Fidelity) (registered trademark), and wireless communication standards for mobile data communication networks.

[0023] As one example, the communication unit 14 supplies data output from another device via a network to the control unit 11. As another example, the communication unit 14 outputs data supplied from the control unit 11 to another device via a network.

[0024] (Control unit 11) The control unit 11 controls each component included in the information processing device 1. The control unit 11 also includes an acquisition unit 111, a first calculation unit 112, a second calculation unit 113, and an output unit 114, as shown in FIG.

[0025] (Acquisition part 111) The acquisition unit 111 acquires data from the storage unit 12. As one example, the acquisition unit 111 acquires a satellite image SI indicating the red reflectance of the subject via the communication unit 14. As another example, the acquisition unit 111 acquires a satellite image SI indicating the near-infrared reflectance of the subject via the communication unit 14.

[0026] As another example, the acquisition unit 111 acquires the red reflectance and the near-infrared reflectance of one or more farm fields. The acquisition unit 111 supplies the acquired red reflectance and the near-infrared reflectance of one or more farm fields to the first calculation unit 112.

[0027] As an example, the acquisition unit 111 acquires the red reflectance of one or more fields by referring to a satellite image SI, which is an image stored in the storage unit 12 and shows the red reflectance of each of one or more fields. For example, if one red reflectance is shown for a certain field in the satellite image SI, the acquisition unit 111 acquires that red reflectance as the red reflectance of the certain field. On the other hand, if multiple red reflectances are shown for a certain field in the satellite image SI (if red reflectances are shown for each of multiple locations in the certain field), the acquisition unit 111 acquires the average value of the multiple red reflectances as the red reflectance of the certain field.

[0028] As another example, the acquisition unit 111 acquires the near-infrared reflectance of one or more fields by referring to a satellite image SI, which is an image stored in the storage unit 12 and shows the near-infrared reflectance of each of one or more fields. For example, if one near-infrared reflectance is shown for a certain field in the satellite image SI, the acquisition unit 111 acquires that near-infrared reflectance as the near-infrared reflectance of the certain field. On the other hand, if multiple near-infrared reflectances are shown for a certain field in the satellite image SI (if near-infrared reflectances are shown for each of multiple locations in the certain field), the acquisition unit 111 acquires the average value of the multiple near-infrared reflectances as the near-infrared reflectance of the certain field.

[0029] (First calculation unit 112) The first calculation unit 112 calculates the value of a dryness index DI that indicates the degree of dryness of the field. As an example, the first calculation unit 112 calculates the value of a dryness index DI that indicates the degree of dryness of each of one or more field by referring to the red reflectance and near-infrared reflectance acquired by the acquisition unit 111. The first calculation unit 112 stores the calculated value of the dryness index DI in the memory unit 12.

[0030] An example of a method for the first calculation unit 112 to calculate the value of the dryness index DI will be described with reference to Fig. 2. Fig. 2 is a graph showing the relationship between red reflectance and near-infrared reflectance in a farm field.

[0031] Figure 2 is a graph showing the relationship between red reflectance and near-infrared reflectance in three fields (area A, area B, and area C). As shown in Figure 2, in all fields, there is a linear relationship between red reflectance and near-infrared reflectance. The approximate line showing the linear relationship between red reflectance and near-infrared reflectance is also called the soil line.

[0032] For example, in Figure 2, if the red reflectance is x and the near-infrared reflectance is y, the SOIL LINE is expressed by the following equation (1). y=1.1666x+0.0583 (1) Here, the drier the field, the greater the red reflectance and near-infrared reflectance, and the wetter the field, the smaller the red reflectance and near-infrared reflectance. Based on these characteristics, the first calculation unit 112 calculates the value (D) of the dryness index DI using the following equation (1): D=(R 2 +(NIR-k) 2 ) 0.5 ···(1) D: Dryness index DI value R: Red reflectance NIR:Near infrared reflectance k: constant (intercept of the soil line) That is, when the red reflectance and near-infrared reflectance in a certain field are plotted on the xy coordinate, the first calculation unit 112 sets the y-intercept of the soil line as the origin and calculates the distance from the origin to the plotted point as the value D of the dryness index DI.

[0033] Here, the acquisition unit 111 may acquire the red reflectance and near-infrared reflectance after a predetermined number of days have passed since the day when rain fell on the field. As an example, the acquisition unit 111 acquires the red reflectance and near-infrared reflectance two days after the rain fell or three days after the rain fell. With this configuration, the first calculation unit 112 can calculate the value of the dryness index DI, which indicates how dry the field is after a predetermined number of days have passed since the rain fell and the water has been drained through the underdrain.

[0034] (Second calculation unit 113) The second calculation unit 113 calculates the value of the drainage function index DFI, which indicates the drainage function of the underdrain in the field. As an example, for each of one or more fields, the second calculation unit 113 refers to the value of the dryness index DI calculated by the first calculation unit 112, the value of the dryness index when the field is wet (minimum dryness index DI_MIN), and the value of the dryness index when the field is dry (maximum dryness index DI_MAX), and calculates the value of the drainage function index DFI, which indicates the drainage function of the underdrain in the field. The second calculation unit 113 stores the calculated value of the drainage function index DFI in the memory unit 12.

[0035] The value of the minimum dryness index DI_MIN when the field is wet and the value of the maximum dryness index DI_MAX when the field is dry may be acquired from a user by the acquisition unit 111 or may be calculated by the first calculation unit 112. The value of the minimum dryness index DI_MIN and the value of the maximum dryness index DI_MAX are stored in the memory unit 12.

[0036] As an example of a calculation method by the first calculation unit 112, the first calculation unit 112 creates a graph plotting red reflectance and near-infrared reflectance for a predetermined period for a field for which the drainage function of an underdrain is to be evaluated, as shown in Fig. 2. The first calculation unit 112 then sets the smallest dryness index DI value among the points plotted on the graph as the minimum dryness index DI_MIN value when the field is in a wet state. Similarly, the first calculation unit 112 sets the largest dryness index DI value among the points plotted on the graph as the maximum dryness index DI_MAX value when the field is in a dry state.

[0037] As another example of a calculation method by the first calculation unit 112, the first calculation unit 112 calculates, for a plurality of fields, the value of the minimum dryness index DI_MIN when the field is wet and the value of the maximum dryness index DI_MAX when the field is dry using the method described above.The first calculation unit 112 then sets the average values ​​of the minimum dryness index DI_MIN and the maximum dryness index DI_MAX for the plurality of fields as the value of the minimum dryness index DI_MIN and the value of the maximum dryness index DI_MAX for the target field, respectively.

[0038] Moreover, the second calculation unit 113 calculates the value (Da) of the drainage function index DFI using, for example, the following formula (3). Da=(D-Dmin) / (Dmax-Dmin) ···(3) Da: Drainage function index (DFI) value D: Dryness index DI value Dmin: The minimum dryness index DI_MIN when the field is wet Dmax: The maximum dryness index DI_MAX when the field is dry The relationship between the drainage function index DFI and the function of underdrain drainage will now be described with reference to Fig. 3. Fig. 3 is a graph showing the relationship between the drainage function index DFI and the underdrain discharge rate. Here, the underdrain discharge rate is a value calculated using the following formula (4). Culvert discharge rate = Culvert discharge volume / precipitation (4) That is, the underdrain discharge rate is a value that indicates the ratio of the amount of underdrain drainage to the amount of precipitation.

[0039] FIG. 3 is a graph showing the value Da calculated using the above-mentioned formula (3) and the underdrain discharge rate calculated using formula (4). As shown in FIG. 3, the value Da and the underdrain discharge rate have a linear relationship. That is, the larger the value Da, the higher the drainage function of the underdrain, and the smaller the value Da, the lower the drainage function of the underdrain. In this way, the value Da calculated by the second calculation unit 113 can be said to be the value of the drainage function index DFI, which indicates the drainage function of the underdrain.

[0040] (output unit 114) The output unit 114 outputs data to the input / output unit 13 or via the communication unit 14. As an example, the output unit 114 outputs the value of the drainage function index DFI, which indicates the drainage function of the underdrain in each of one or more farm fields.

[0041] An example of data output by the output unit 114 will be described with reference to Fig. 4. Fig. 4 is a diagram showing an example of data output by the output unit 114 according to this embodiment.

[0042] The output unit 114 may output the map after indicating the value of the drainage function index, which indicates the drainage function of the underdrain, for each of one or more fields on the map. As an example, the output unit 114 may divide the value of the drainage function index DFI into multiple ranges and output a map that makes it possible to identify which range the value of the drainage function index DFI of each field falls within.

[0043] For example, the output unit 114 may output the map after superimposing a pattern (or color) corresponding to the range in which the value of the drainage function index DFI of each field falls on the map. For example, as shown in Fig. 4, the output unit 114 may output the map after superimposing different patterns on the field on the map for an area R1 where the drainage function of the underdrain is very low, an area R2 where the drainage function of the underdrain is low, and an area R3 where the drainage function of the underdrain is very high.

[0044] As another example, the output unit 114 may output the map after superimposing the value of the drainage function index DFI itself, which indicates the drainage function of the underdrain in each field on the map. With this configuration, the output unit 114 can notify which fields on the map have deteriorated drainage function.

[0045] Furthermore, the output unit 114 may output data associating information indicating each field with the value of the drainage function index DFI indicating the drainage function of the underdrain in that field. As an example, the output unit 114 may output data associating the address of a field with the value of the drainage function index DFI indicating the drainage function of the underdrain in that field.

[0046] Furthermore, for a field where the value of the drainage function index DFI is equal to or less than a predetermined value, the output unit 114 may output data indicating that the drainage function of the underdrain in that field is low. For example, referring to Fig. 3, when the value of the drainage function index DFI is equal to or less than 0.2, the underdrain discharge rate is low. In other words, Fig. 3 indicates that when the value of the drainage function index DFI is equal to or less than 0.2, the underdrain drainage function is low.

[0047] Therefore, for a field having a drainage function index DFI value of 0.2 or less, the output unit 114 may output data that associates information about the field with information indicating that the drainage function of the underdrain in the field is low. An example of information indicating that the drainage function of the underdrain in the field is text data such as "The drainage function of the underdrain in the field at address X is low."

[0048] (Processing executed by information processing device 1) The flow of the process (information processing method) executed by the information processing device 1 will be described with reference to Fig. 5. Fig. 5 is a flow diagram showing the flow of the process executed by the information processing device 1 according to this embodiment.

[0049] (Acquisition process S11) In acquisition processing S11, acquisition unit 111 acquires the red reflectance and near-infrared reflectance of one or more farm fields. The method by which acquisition unit 111 acquires the red reflectance and near-infrared reflectance of one or more farm fields is as described above. Acquisition unit 111 supplies the acquired red reflectance and near-infrared reflectance of one or more farm fields to first calculation unit 112.

[0050] (First calculation process S12) In the first calculation process S12, the first calculation unit 112 calculates the value of the dryness index DI, which indicates the degree of dryness of each of one or more farm fields, by referring to the red reflectance and near-infrared reflectance acquired by the acquisition unit 111. The method by which the first calculation unit 112 calculates the value of the dryness index DI is as described above. The first calculation unit 112 stores the calculated value of the dryness index DI in the memory unit 12.

[0051] (Second calculation process S13) In the second calculation process S13, the second calculation unit 113 calculates, for each of one or more fields, the value of the dryness index DI calculated by the first calculation unit 112, the value of the minimum dryness index DI_MIN when the field is wet, and the value of the maximum dryness index DI_MAX when the field is dry, and calculates the value of the drainage function index DFI that indicates the drainage function of the underdrain in the field. The method by which the second calculation unit 113 calculates the value of the drainage function index DFI is as described above. The second calculation unit 113 stores the calculated value of the drainage function index DFI in the memory unit 12.

[0052] (Output process S14) In the output process S14, the output unit 114 outputs the value of the drainage function index DFI, which indicates the drainage function of the underdrain in each of one or more farm fields. Examples of data output by the output unit 114 are as described above.

[0053] (Effects of information processing device 1) As described above, the information processing device 1 according to this embodiment includes an acquisition unit 111 that acquires the red reflectance and near-infrared reflectance of one or more fields, a first calculation unit 112 that refers to the red reflectance and near-infrared reflectance and calculates the value of a dryness index DI that indicates the degree of dryness of each of the one or more fields, and a second calculation unit that refers to the value of the dryness index DI calculated by the first calculation unit 112, the value of the minimum dryness index DI_MIN when the field is wet, and the value of the maximum dryness index DI_MAX when the field is dry, for each of the one or more fields, and calculates the value of the drainage function index DFI that indicates the drainage function of the culvert in the field.

[0054] Therefore, the information processing device 1 can calculate the value of the drainage function index DFI, which indicates the drainage function of the underdrain in one or more farm fields, from a satellite image SI showing the red reflectance of the one or more farm fields and a satellite image SI showing the near-infrared reflectance of the one or more farm fields. In other words, the information processing device 1 can evaluate the drainage function of the underdrain with a simple configuration, without installing a flow meter for measuring the amount of water drained from the underdrain.

[0055] Furthermore, the information processing device 1 outputs the value of the drainage function index DFI, which indicates the drainage function of the underdrain in each of one or more farm fields.

[0056] Therefore, the information processing device 1 can notify a user of a field whether the drainage function of the underdrain in the field has deteriorated. Furthermore, when the information processing device 1 notifies a user of the field that the drainage function of the underdrain in the field has deteriorated, the user can recognize that drainage improvement such as subsoil breaking is necessary. Furthermore, by making the user recognize that drainage improvement such as subsoil breaking is necessary, the information processing device 1 can improve farming efficiency and field crop yields.

[0057] The information processing device 1 can be realized by devices such as a server and a desktop PC. Therefore, the information processing device 1 can easily provide a service to evaluate the drainage function of underdrains to companies that provide consulting services for land use using satellite image SI and companies that operate agricultural management systems.

[0058] As described above, the above-described configuration can improve farming efficiency and field crop yields. Such effects also contribute to achieving, for example, Goal 2 of the Sustainable Development Goals (SDGs) advocated by the United Nations, "End hunger, achieve food security and improved nutrition, and promote sustainable agriculture."

[0059] [Software implementation example] The functions of the information processing device 1 (hereinafter referred to as the "device") can be realized by a program that causes a computer to function as the device, and a program that causes a computer to function as each control block of the device (particularly each part included in the control unit 11).

[0060] In this case, the device includes a computer having at least one control device (e.g., a processor) and at least one storage device (e.g., a memory) as hardware for executing the program. The control device and storage device execute the program, thereby realizing the functions described in each of the above embodiments.

[0061] The program may be non-transitory and may be recorded on one or more computer-readable recording media. The recording media may or may not be included in the device. In the latter case, the program may be supplied to the device via any wired or wireless transmission medium.

[0062] Furthermore, some or all of the functions of the control blocks can be realized by logic circuits. For example, an integrated circuit in which a logic circuit that functions as each of the control blocks is formed is also included in the scope of the present invention. In addition, the functions of the control blocks can also be realized by, for example, a quantum computer.

[0063] Furthermore, each process described in each of the above embodiments may be executed by AI (Artificial Intelligence). In this case, the AI ​​may run on the control device or on another device (for example, an edge computer or a cloud server).

[0064] [summary] An information processing device according to aspect 1 of this embodiment includes an acquisition unit that acquires the red reflectance and near-infrared reflectance of one or more fields; a first calculation unit that refers to the red reflectance and near-infrared reflectance and calculates a dryness index value indicating the degree of dryness of each of the one or more fields; and a second calculation unit that refers to the dryness index value calculated by the first calculation unit, the dryness index value when the field is wet (minimum dryness index DI_MIN), and the dryness index value when the field is dry (maximum dryness index DI_MAX) and calculates an index (drainage function index DFI) indicating the drainage function of the underdrain in each of the one or more fields.

[0065] With the above configuration, the information processing device can evaluate the drainage function of the underdrain with a simple configuration.

[0066] The information processing device according to Aspect 2 of this embodiment is in Aspect 1 above, further comprising an output unit that outputs an index value indicating the drainage function of the underdrain in each of the one or more farm fields.

[0067] With the above configuration, the information processing device can notify the user of the field whether the drainage function of the underdrain in the field has deteriorated or not.

[0068] In the information processing device according to aspect 3 of this embodiment, the output unit according to aspect 2 outputs the map after indicating the value of the drainage function index indicating the drainage function of the underdrain in each of one or more fields on the map.

[0069] With the above configuration, the information processing device can notify which fields on the map have deteriorated drainage functions.

[0070] In an information processing device according to aspect 4 of this embodiment, the acquisition unit in any of aspects 1 to 3 above acquires the red reflectance and the near-infrared reflectance after a predetermined number of days have passed since the day when rain fell in the field.

[0071] With the above configuration, the information processing device can calculate the value of a dryness index that indicates how dry the field is after a predetermined number of days have passed since rainfall and the water has been drained through the culvert, and evaluate the drainage function of the culvert in the field.

[0072] An information processing method according to aspect 5 of this embodiment includes an acquisition process for acquiring the red reflectance and near-infrared reflectance of one or more fields; a first calculation process for calculating a dryness index value indicating the degree of dryness of each of the one or more fields by referring to the red reflectance and near-infrared reflectance; and a second calculation process for calculating, for each of the one or more fields, a dryness index value calculated in the first calculation process, a dryness index value when the field is in a wet state, and a dryness index value when the field is in a dry state, and calculating an index value indicating the drainage function of the underdrain in each of the one or more fields.

[0073] With the above configuration, the information processing method achieves the same effects as the information processing device described above.

[0074] A program according to aspect 6 of this embodiment is a program that causes a computer to function as an information processing device, and causes the computer to function as an acquisition unit that acquires the red reflectance and near-infrared reflectance of one or more fields, a first calculation unit that refers to the red reflectance and near-infrared reflectance and calculates a dryness index value that indicates the degree of dryness of each of the one or more fields, and a second calculation unit that refers to the dryness index value calculated by the first calculation unit, the dryness index value when the field is wet, and the dryness index value when the field is dry, for each of the one or more fields, and calculates a value of an index that indicates the drainage function of the underdrain in each field.

[0075] With the above configuration, the program achieves the same effects as the information processing device described above.

[0076] The present invention is not limited to the above-described embodiments, and various modifications are possible within the scope of the claims. Embodiments obtained by appropriately combining the technical means disclosed in different embodiments are also included in the technical scope of the present invention. [Explanation of symbols]

[0077] 1. Information processing equipment 111 Acquisition Department 112 First calculation unit 113 Second calculation section 114 Output section DI dryness index DI_MIN Minimum dryness index DI_MAX Maximum dryness index DFI Drainage Function Index SI satellite imagery

Claims

1. an acquisition unit that acquires red reflectance and near-infrared reflectance of one or more farm fields; a first calculation unit that calculates a dryness index value indicating a degree of dryness of each of the one or more farm fields by referring to the red reflectance and the near-infrared reflectance; a second calculation unit that calculates, for each of the one or more fields, a value of an index that indicates the drainage function of an underdrain in the field by referring to the value of the dryness index calculated by the first calculation unit, the value of the dryness index when the field is wet, and the value of the dryness index when the field is dry; An information processing device comprising:

2. an output unit that outputs an index value indicating the drainage function of the underdrain in each of the one or more farm fields; The information processing device according to claim 1 .

3. the output unit indicates, for each of one or more fields on the map, a value of a drainage function index that indicates the drainage function of an underdrain in the field, and then outputs the map. The information processing device according to claim 2 .

4. the acquisition unit acquires the red reflectance and the near-infrared reflectance after a predetermined number of days have passed since rainfall occurred in the field.

3. The information processing device according to claim 1.

5. an acquisition process for acquiring red reflectance and near-infrared reflectance of one or more fields; a first calculation process of calculating a dryness index value indicating a degree of dryness of each of the one or more farm fields by referring to the red reflectance and the near-infrared reflectance; a second calculation process for calculating, for each of the one or more fields, a value of an index indicating the drainage function of the underdrain in the field by referring to the value of the dryness index calculated in the first calculation process, the value of the dryness index when the field is wet, and the value of the dryness index when the field is dry; An information processing method including:

6. A program that causes a computer to function as an information processing device, The computer an acquisition unit that acquires red reflectance and near-infrared reflectance of one or more farm fields; a first calculation unit that calculates a dryness index value indicating a degree of dryness of each of the one or more farm fields by referring to the red reflectance and the near-infrared reflectance; a second calculation unit that calculates, for each of the one or more fields, a value of an index that indicates the drainage function of an underdrain in the field by referring to the value of the dryness index calculated by the first calculation unit, the value of the dryness index when the field is wet, and the value of the dryness index when the field is dry; A program that functions as a

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