Field evaluation method, field evaluation system, and field evaluation program

Abstract

To provide a field evaluation method, a field evaluation system, and a field evaluation program for computing an evaluation value from an estimated result based on indirect measurement of a filed that can emit greenhouse gases.SOLUTION: A field evaluation method is provided, comprising estimating the condition of a field (9) based on soil data representing the soil quality of the field (9) (S02), computing an evaluation value of the field (9) associated with greenhouse gas emissions based on the condition of the field (9) (S02), and outputting information indicating the evaluation value to the outside (S03).SELECTED DRAWING: Figure 4

Description

[Technical Field]

[0001] The present invention relates to a farm field evaluation method, a farm field evaluation system, and a farm field evaluation program, which can be suitably used for, for example, evaluation of greenhouse gases in a farm field. [Background technology]

[0002] Patent Document 1 (Patent Publication No. 7138390) discloses an information processing device for allocating carbon credit creation methods to carbon credit creators to create demand for carbon credits. Carbon credits are a system that makes it possible to trade the amount of greenhouse gas emissions reductions, which are considered to be one of the causes of global warming, in order to solve the problem of global warming. Patent Document 1 lists examples of methods for creating carbon credits, such as storing biochar in fields, switching on heaters, installing solar panels, and absorbing greenhouse gases through crops.

[0003] However, the reality is that this technology has only been deployed to a small number of farms, and it is not easy, both technically and financially, to measure greenhouse gas emissions and their changes in the fields owned by each farmer. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Patent No. 7138390 Summary of the Invention [Problem to be solved by the invention]

[0005] In view of the above circumstances, one object of the present disclosure is to provide a field evaluation method, a field evaluation system, and a field evaluation program for calculating an evaluation value from results estimated based on indirect measurements of a field that may emit greenhouse gases. Other objects and novel features will become apparent from the description of this specification and the accompanying drawings. [Means for solving the problem]

[0006] 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).

[0007] According to one embodiment, the field evaluation method includes estimating the state of the field (9) based on soil data representing the soil quality of the field (9) (S02), calculating an evaluation value of the field (9) related to greenhouse gas emissions based on the state of the field (9) (S02), and outputting information representing the evaluation value to the outside (S03).

[0008] According to one embodiment, the farm field evaluation system (1) includes a calculation unit (422) that estimates the state of the farm field (9) based on soil data that indicates the soil quality of the farm field (9) and calculates an evaluation value of the farm field (9) related to greenhouse gas emissions based on the state of the farm field (9), and an output unit (423) that outputs information indicating the evaluation value to the outside.

[0009] According to one embodiment, the farm field evaluation program is a program for executing a predetermined process, which includes estimating the state of the farm field (9) based on soil data representing the soil quality of the farm field (9) (S02), calculating an evaluation value of the farm field (9) related to greenhouse gas emissions based on the state of the farm field (9) (S02), and outputting information representing the evaluation value to the outside (S03). [Effects of the Invention]

[0010] According to one embodiment, an evaluation value can be calculated for a farm field that may emit greenhouse gases from a result estimated based on indirect measurements. [Brief explanation of the drawings]

[0011] [Figure 1] FIG. 1 is a diagram showing an example of the configuration of a farm land evaluation system according to an embodiment. [Figure 2] FIG. 2 is a block circuit diagram showing an example of the configuration of a farm field evaluation device according to an embodiment. [Figure 3] FIG. 3 is a block circuit diagram illustrating an example of the configuration of an external terminal according to an embodiment. [Figure 4] FIG. 4 is a flowchart showing one sequence of steps in the farm field evaluation method according to one embodiment. [Figure 5] FIG. 5 is a diagram showing an example of the relationship between changes in oxidation-reduction potential and the generation of greenhouse gases. DETAILED DESCRIPTION OF THE INVENTION

[0012] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS With reference to the accompanying drawings, embodiments for carrying out the field evaluation method, the field evaluation system, and the field evaluation program according to the present disclosure will be described below.

[0013] (Embodiment) 1, a farm field evaluation system 1 according to one embodiment includes a farm field evaluation device 4. The farm field evaluation system 1 may further include some or all of a database 2 and an external terminal 5. The farm field evaluation device 4, the database 2, and the external terminal 5 may be connected to a network 3 via wired communication and / or wireless communication.

[0014] The database 2 stores various types of field data related to the field 9. The field data includes basic information such as identification information for identifying the field 9 and location information indicating the location of the field 9, as well as environmental information related to greenhouse gases that may be emitted by the field 9. The database 2 provides these field data to the field evaluation device 4 in response to a request from the field evaluation device 4.

[0015] The field evaluation device 4 calculates an evaluation value representing an evaluation of the field 9 with respect to greenhouse gases, based on the field data of the field 9 provided from the database 2. The field evaluation device 4 may further output a proposal for measures to reduce greenhouse gases that may be emitted by the field 9, based on the evaluation value of the field 9. As an example, the field 9 may transmit the evaluation value and the proposal for measures to the external terminal 5.

[0016] The external terminal 5 may include a smartphone, tablet terminal, personal computer, etc. that has a communication function, a display function, and an input function. The external terminal 5 notifies the user by displaying the evaluation value and the contents of the proposed measures received from the farm field evaluation device 4.

[0017] As shown in Fig. 2, the farm field evaluation device 4 according to one embodiment may be configured as a so-called computer. In the example of Fig. 2, the farm field evaluation device 4 includes a bus 41, a calculation device 42, a storage device 43, a communication device 44, and an input / output device 45. The bus 41 may be configured to realize communication between the calculation device 42, the storage device 43, the communication device 44, and the input / output device 45.

[0018] The arithmetic device 42 executes a field evaluation program according to one embodiment, thereby realizing the processing of an acquisition unit 421, a calculation unit 422, and an output unit 423. The acquisition unit 421, the calculation unit 422, and the output unit 423 are each virtual functional blocks that execute processing realized by the arithmetic device 42 and the storage device 43 working together. The acquisition unit 421 requests and acquires field data for the field 9 from the database 2. The calculation unit 422 calculates an evaluation value for greenhouse gases for the field 9 based on the field data for the field 9. The output unit 423 outputs the evaluation value to the outside.

[0019] The storage device 43 includes a program storage unit 431 and a data storage unit 432. The farm field evaluation program may be read from an external recording medium 430 and stored in the program storage unit 431. The recording medium 430 may be a non-transitory and tangible medium. The data storage unit 432 may store farm field data acquired from the database 2.

[0020] The communication device 44 communicates with external devices including the database 2 and / or the external terminal 5 by wireless communication and / or wired communication via the network 3. The farm field evaluation program may be received by the communication device 44 from the outside and stored in the program storage unit 431.

[0021] The input / output device 45 outputs information to the user and accepts operations input by the user. As an example, the input / output device 45 includes a display device that outputs images, a keyboard and / or a mouse that accepts input, etc.

[0022] 3, the external terminal 5 may be configured as a computer including a bus 51, a calculation device 52, a storage device 53, a communication device 54, and an input / output device 55, similar to the field evaluation device 4. The input / output device 55 may include a touch panel that integrates a display device that outputs images with a touchpad that accepts input by touch operation. The external terminal 5 realizes predetermined processing by the calculation device 52 executing a program stored in the storage device 53. The program may be stored in the storage device 53 from the outside via a recording medium 530 or the communication device 54.

[0023] An example of the configuration of a field evaluation method according to one embodiment will be described with reference to the flowchart in Figure 4. The processing of the field evaluation method may be started when the field evaluation device 4 is started. At this time, the arithmetic device 42 of the field evaluation device 4 executes a field evaluation program, thereby realizing the processing of the field evaluation method.

[0024] When the processing of the flowchart in Fig. 4 starts, step S01 is executed. In step S01, the acquisition unit 421 in Fig. 2 requests field data for the field 9 from the database 2 in Fig. 1, and receives and acquires the field data transmitted from the database 2 in response to the request. The acquired field data may be stored in the data storage unit 432 in Fig. 2.

[0025] After step S01 in Fig. 4, step S02 is executed. In step S02, the calculation unit 422 in Fig. 2 calculates an evaluation value for greenhouse gas emissions of the field 9 based on the field data of the field 9. As an example, the calculation unit 422 may first calculate a plurality of partial evaluation values ​​representing a plurality of evaluations of the field 9 based on different criteria, and then calculate the evaluation value as a comprehensive evaluation for greenhouse gas emissions of the field 9 based on the plurality of partial evaluation values. The calculated partial evaluation values ​​and evaluation value may be stored in the data storage unit 432 in Fig. 2.

[0026] Furthermore, the calculation unit 422 may determine, based on the evaluation value and the partial evaluation value, measures that can be taken on the field 9 to reduce greenhouse gas emissions that may be emitted from the field 9. As an example, the calculation unit 422 extracts and determines measures that are suitable for the field 9 from a list of measures stored in the database 2 and / or the data storage unit 432, based on the partial evaluation value and the evaluation value. Information indicating the determined measures may be stored in the data storage unit 432 in FIG. 2.

[0027] After step S02 in Fig. 4, step S03 is executed. In step S03, the output unit 423 in Fig. 2 outputs the evaluation value of the field 9 to the outside. As an example, the output unit 423 may transmit information representing the evaluation value to the external terminal 5. In this case, the external terminal 5 notifies the user of the content of the evaluation value based on the received information, for example by displaying it.

[0028] Furthermore, the output unit 423 may output the information representing the measures to the outside. As an example, the output unit 423 may transmit the information representing the measures to the external terminal 5. In this case, the external terminal 5 notifies the user by, for example, displaying a proposed measure based on the received information.

[0029] After step S03 in FIG. 4, the processing of the farm field evaluation method according to one embodiment ends.

[0030] With reference to Figure 5, the relationship between changes in the state of the field 9 and the greenhouse gases that may be emitted from the field 9 in response to these changes will be described when the field 9 is a paddy field. Figure 5 shows the state of the field 9 divided into seven stages of redox potential. These seven stages include a first stage G1 where the redox potential is the most oxidative, a seventh stage G7 where the redox potential is the most reductive, and intermediate stages G2, G3, G4, G5, G6, G6.

[0031] As time passes while a rice paddy remains flooded, the oxygen in the paddy is consumed due to the metabolism of the organic matter within the paddy. At this time, the redox potential of the paddy becomes more reducing, and the paddy's condition changes from Stage 1 G1 to Stage 7 G7 in Figure 5, producing greenhouse gases such as N2O (nitrous oxide) and CH4 (methane). N2O is said to have a greenhouse effect approximately 300 times that of carbon dioxide, with a residual lifespan of approximately 110 years. CH4 is said to have a greenhouse effect approximately 30 times that of carbon dioxide, with a residual lifespan of approximately 12 years.

[0032] In the first stage G1 shown in Figure 5, the redox potential of the paddy field is the most oxidative, and molecular oxygen (O2) disappears. In the second stage G2, the redox potential of the paddy field is more reductive than in the first stage G1, and denitrification occurs, resulting in the production of nitrate ions (NO3 - ) disappears, and nitrogen gas (N2) and nitrous oxide (N2O) are produced. In the third stage G3, the redox potential of the paddy field is more reducing than in the second stage G2, and divalent manganese (Mn 2+In the fourth stage, G4, the redox potential of the paddy field is more reducing than in the third stage, G3, and iron (Fe 2+ ) is produced. In the fifth stage, G5, the rice paddy's redox potential is more reducing than in the fourth stage, G4, and hydrogen sulfide (H2S) is produced. In the sixth stage, G6, the rice paddy's redox potential is more reducing than in the fifth stage, G5, and methane (CH4) is produced. In the seventh stage, G7, the rice paddy's redox potential is the most reducing, and hydrogen (H2) is produced.

[0033] Considering that paddy fields as the field 9 may emit NO, the denitrification process in the second stage G2 in Figure 5 is related to the generation of NO. More specifically, NO may be emitted from paddy fields as the field 9 when nitrogen applied to the soil by fertilization or the like is metabolized by microorganisms and then released from the soil. Therefore, in one embodiment, the amount of NO emitted from the field 9 is estimated and evaluated from the following three perspectives.

[0034] In one embodiment, the farm field evaluation device 4 evaluates the excessively wet condition of the farm field 9 from a first perspective related to NO emissions. This is because microorganisms involved in denitrification become more active as the humidity of the farm field 9 increases. The humidity of the farm field 9 tends to decrease if the drainage of the farm field 9 is good, and tends to increase if the drainage of the farm field 9 is poor. Therefore, in one embodiment, the calculation unit 422 in FIG. 2 estimates the drainage of the farm field 9 and outputs the result as a first partial evaluation value related to NO. As an example, if the drainage of the farm field 9 is good, the first partial evaluation value is set to 1; if the drainage of the farm field 9 is poor, the second partial evaluation value is set to 10; and if the drainage of the farm field 9 is intermediate, the first partial evaluation value is set to 2 or 3.

[0035] The drainage of the field 9 can be estimated based on the type and quality of the soil of the field 9. For example, if the soil type of the field 9 is gley soil, if the soil type of the field 9 is strong clay, or if no drainage measures such as a culvert are installed, the drainage of the field 9 is estimated to be poor. Furthermore, if the soil type of the field 9 is gray lowland soil or if the soil type of the field 9 is clay, the drainage of the field 9 is estimated to be intermediate. For example, the type and quality of the soil of the field 9 may be determined from a soil map of the region including the field 9. As another example, the drainage of the field 9 may be estimated from an image of the field 9 taken from a satellite. In this case, the backscattering intensity on the surface of the field 9 can be calculated from a SAR (Synthetic Aperture Radar) image of the field 9 taken from a satellite, and it can be estimated based on the backscattering intensity whether the surface of the field 9 is dry and uneven or wet and smooth. Alternatively, the surface temperature of the field 9 can be calculated from a spectral characteristic image of the field 9 taken from a satellite, and it can be estimated based on the temperature whether the surface of the field 9 is dry or wet. Furthermore, by comparing SAR images or spectral characteristic images taken before, after, and after rainfall, it is possible to estimate the rate at which rain that has fallen on the field 9 is drained. Note that the soil map, images taken from a satellite, and the like may be stored in advance in the database 2 of FIG. 1 or in the data storage unit 432 of FIG. 2.

[0036] In a second perspective related to NO emissions, the farm field evaluation device 4 according to one embodiment evaluates the pH of the farm field 9. This is because the metabolic efficiency of microorganisms involved in denitrification is likely to decrease in soil with a pH of less than approximately 5. Therefore, in one embodiment, the calculation unit 422 in FIG. 2 compares the pH of the farm field 9 with a predetermined threshold and outputs the result as a second partial evaluation value related to NO. As an example, if the pH of the farm field 9 is less than the threshold, the second partial evaluation value is set to 1.5, and if the pH of the farm field 9 is equal to or greater than the threshold, the second partial evaluation value is set to 1. Note that, as an example, the threshold may be 5.

[0037] The pH of the field 9 may be an actual measured value obtained by analyzing the soil of the field 9, which may be acquired from the database 2 of FIG. 1 by the acquisition unit 421 of FIG. 2 in step S01 of FIG. 4, or may be estimated by analyzing SAR images of the field 9 taken from a satellite using AI (Artificial Intelligence).

[0038] In a third perspective related to N2O emissions, the farmland evaluation device 4 according to one embodiment evaluates the amount of nitrogen fertilizer applied to the farmland 9 in the past. This is because the greater the amount of nitrogen fertilizer applied, the more likely it is that N2O emissions from the farmland 9 will increase. Therefore, the calculation unit 422 in FIG. 2 according to one embodiment calculates, as the third partial evaluation value, the ratio of the amount of nitrogen fertilizer applied to the farmland 9 to the average amount of nitrogen fertilizer applied to the region including the farmland 9. As an example, the region may be on a prefecture-by-prefecture basis. Information representing the amount of nitrogen fertilizer applied to the farmland 9 and information representing the average amount of nitrogen fertilizer applied to the region may be stored in advance in the database 2 in FIG. 1 or in the data storage unit 432 in FIG. 2.

[0039] The farm land evaluating device 4 according to one embodiment calculates the product of the first partial evaluation value, the second partial evaluation value, and the third partial evaluation value as a comprehensive evaluation value related to NO emissions for the farm land 9. However, this calculation method is merely an example and does not limit the embodiment. As another example, an evaluation value corresponding to a combination of the first partial evaluation value, the second partial evaluation value, and the third partial evaluation value may be read from a table stored in the data storage unit 432 in FIG. 2.

[0040] Considering that paddy fields as the field 9 can emit CH4, the methane production process is directly related to the generation of CH4 in the sixth stage G6 in Figure 5, but for greater safety, it is preferable to maintain the state of the field 9 within the range from the first stage G1 to the fourth stage G4. Therefore, in one embodiment, the amount of CH4 emissions from the field 9 is estimated and evaluated from the following three perspectives:

[0041] In a first perspective related to CH4 emissions, the farm land evaluating device 4 according to one embodiment evaluates the excessively wet condition of the farm land 9. This is because microorganisms involved in the production of CH4 become more active as the humidity of the farm land 9 increases. Therefore, the first partial evaluation value related to N2O emissions may be used as the first partial evaluation value related to CH4 emissions.

[0042] In a second perspective related to CH4 emissions, the farm field evaluation device 4 according to one embodiment evaluates the soil temperature when plowing work is performed in the farm field 9. This is because, compared to when plowing work is performed in the farm field 9 mainly from winter to early spring, when the soil temperature is below approximately 15°C, microorganisms involved in CH4 generation significantly increase when the work is performed mainly in autumn, when the soil temperature is approximately 15°C or higher. Therefore, the calculation unit 422 in FIG. 2 according to one embodiment compares the soil temperature of the farm field 9 when plowing work is performed with a predetermined threshold and outputs the result as a second partial evaluation value related to CH4. As an example, if the soil temperature of the farm field 9 is below the threshold, the second partial evaluation value is set to 5, and if the soil temperature of the farm field 9 is above the threshold, the second partial evaluation value is set to 1. Note that, as an example, the threshold may be 15°C.

[0043] The soil temperature of the field 9 when the plowing work is performed may be acquired from the database 2 of Figure 1 by the acquisition unit 421 of Figure 2 in step S01 of Figure 4 as recorded information measuring the soil temperature of the field 9, or may be estimated based on a spectral characteristic image of the field 9 taken from an artificial satellite.

[0044] From a third perspective related to CH4 emissions, the farm field evaluating device 4 according to one embodiment evaluates the concentration of free iron oxide in the farm field 9. This is because the higher the concentration of free iron oxide in the farm field 9, the more activated nitrogen fixation by iron-reducing bacteria becomes, and as a result, the more suppressed CH4 generation becomes. Therefore, the calculation unit 422 in FIG. 2 according to one embodiment calculates a third partial evaluation value related to CH4 based on the concentration of free iron oxide in the farm field 9. As one example, if the concentration of free iron oxide is 0.8% or less, the third partial evaluation value is set to 2; if the concentration of free iron oxide is higher than 0.8% and lower than 1.5%, the third partial evaluation value is set to 1; and if the concentration of free iron oxide is 1.5% or higher, the third partial evaluation value is set to 2. Note that these thresholds are merely examples and do not limit one embodiment.

[0045] The concentration of free iron oxide in field 9 increases as the amount of iron material applied to field 9 increases. The calculation unit 422 may estimate the concentration of free iron oxide in field 9 based on a record of application of iron material to field 9 and information indicating the area of ​​field 9, which are included in the field data of field 9.

[0046] The farm field evaluating device 4 according to one embodiment calculates the product of the first partial evaluation value, the second partial evaluation value, and the third partial evaluation value as a comprehensive evaluation value related to CH4 emissions for the farm field 9. However, this calculation method is merely an example and does not limit the embodiment. As another example, an evaluation value corresponding to a combination of the first partial evaluation value, the second partial evaluation value, and the third partial evaluation value may be read from a table stored in the data storage unit 432 in FIG. 2.

[0047] The calculation unit 422 in FIG. 2 may propose measures to reduce greenhouse gas emissions if the overall evaluation value of the field 9 is calculated to be higher than a predetermined standard, i.e., if it is estimated that greenhouse gas emissions are higher than the predetermined standard. In this case, the calculation unit 422 may preferentially propose particularly effective measures based on the partial evaluation values ​​related to NO or CH. As an example, if it is estimated that the drainage of the field 9 is particularly poor, the calculation unit 422 preferentially proposes measures to improve the drainage of the field 9, such as mechanical work to install open drains or raise ridges, or construction work to install underdrains or slope the field 9. As another example, if the pH of the field 9 is significantly low, the calculation unit 422 preferentially proposes measures such as applying lime to the field 9. As another example, if the amount of nitrogen fertilizer applied in field 9 significantly exceeds the average amount of nitrogen fertilizer applied in the region including field 9, the calculation unit 422 preferentially suggests measures such as reducing the amount of nitrogen fertilizer applied. As another example, if plowing work in field 9 was performed during a period from winter to early spring when the soil temperature is relatively low, the calculation unit 422 preferentially suggests measures to perform plowing work during a period when the soil temperature is relatively high, such as around autumn. As another example, if the amount of iron material applied to field 9 is relatively small, the calculation unit 422 preferentially suggests measures to increase the amount of iron material applied.

[0048] As described above, according to one embodiment, for a farm field 9 that may emit greenhouse gases N2O and CH4, an evaluation value can be calculated from the results of estimation based on indirect measurements. In addition, measures to reduce greenhouse gas emissions from the farm field 9 can be proposed.

[0049] (Addendum) The farm field evaluation method, farm field evaluation system 1, and farm field evaluation program described in each embodiment can be described as follows.

[0050] A farm field evaluation method according to a first aspect includes: Inferring a state of the field based on soil data representing the soil quality of the field; calculating an evaluation value of the field related to greenhouse gas emissions based on the state of the field; outputting information representing the evaluation value to an external device; Includes.

[0051] A farm field evaluation method according to a second aspect is the farm field evaluation method according to the first aspect, and outputting to the outside information indicating measures to reduce the emission of the greenhouse gas in the farm field based on the evaluation value. Further includes:

[0052] A field evaluation method according to a third aspect is the field evaluation method according to the first aspect, The inference is Estimating the drainage of the field based on a soil map of the field or a satellite image of the field. Including, The calculating step includes: Calculating the evaluation value based on the drainage property. Includes.

[0053] A field evaluation method according to a fourth aspect is the field evaluation method according to the third aspect, The inference is estimating the pH of the field based on the satellite image of the field. further comprising The calculating step includes: calculating the evaluation value further based on the pH; Includes.

[0054] A field evaluation method according to a fifth aspect is the field evaluation method according to the third aspect, The calculating step includes: Calculating the evaluation value further based on the amount of nitrogen fertilizer applied to the field. Includes.

[0055] A field evaluation method according to a sixth aspect is the field evaluation method according to the fourth or fifth aspect, The evaluation value relates to the amount of emissions of N2O (nitrous oxide) as the greenhouse gas in the farm field.

[0056] A field evaluation method according to a seventh aspect is the field evaluation method according to the third aspect, The inference is and estimating the soil temperature when plowing work is performed in the field based on the satellite image of the field. further comprising The calculating step includes: calculating the evaluation value further based on the soil temperature; Includes.

[0057] A field evaluation method according to an eighth aspect is the field evaluation method according to the third aspect, The inference is Estimating the concentration of free iron oxide in the field based on the application record information of iron materials. further comprising The calculating step includes: calculating the evaluation value further based on the concentration of the free iron oxide; Includes.

[0058] A field evaluation method according to a ninth aspect is the field evaluation method according to the seventh or eighth aspect, The evaluation value relates to the amount of CH4 (methane) emitted in the farm field as the greenhouse gas.

[0059] A field evaluation system according to a tenth aspect includes: a calculation unit that estimates the state of the field based on soil data that indicates the soil quality of the field, and calculates an evaluation value of the field related to greenhouse gas emissions based on the state of the field; an output unit that outputs information representing the evaluation value to an external device; Equipped with.

[0060] A field evaluation program according to an eleventh aspect includes: A farm field evaluation program for realizing processing by being executed by a computing device, The process comprises: Inferring a state of the field based on soil data representing the soil quality of the field; calculating an evaluation value of the field related to greenhouse gas emissions based on the state of the field; outputting information representing the evaluation value to an external device; Includes.

[0061] 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]

[0062] 1. Field evaluation system 2 Database 3 Network 4. Field evaluation device 41 Bus 42 Arithmetic unit 421 Acquisition Department 422 Calculation Unit 423 Output Section 43 Storage device 430 Recording Media 431 Program Memory Unit 432 Data storage unit 44 Communication Equipment 45 Input / Output Devices 5 External terminals 51 Bus 52 Arithmetic unit 53 Recording Device 530 Storage medium 54 Communication equipment 55 Input / Output Devices 9. Field G1, G2, G3, G4, G5, G6, G7 stages

Claims

1. Inferring a state of the field based on soil data representing the soil quality of the field; calculating an evaluation value of the field related to greenhouse gas emissions based on the state of the field; outputting information representing the evaluation value to an external device; Contains Field evaluation methods.

2. The farm field evaluation method according to claim 1, and outputting to the outside information indicating measures to reduce the emission of the greenhouse gas in the farm field based on the evaluation value. Also includes Field evaluation methods.

3. The farm field evaluation method according to claim 1, The inference is Estimating the drainage of the field based on a soil map of the field or a satellite image of the field. Including, The calculating step includes: Calculating the evaluation value based on the drainage property. Contains Field evaluation methods.

4. The farm field evaluation method according to claim 3, The inference is estimating the pH of the field based on the satellite image of the field. further comprising The calculating step includes: calculating the evaluation value further based on the pH; Contains Field evaluation methods.

5. The farm field evaluation method according to claim 3, The calculating step includes: Calculating the evaluation value further based on the amount of nitrogen fertilizer applied to the field. Contains Field evaluation methods.

6. The farm field evaluation method according to claim 4 or 5, The evaluation value is the N as the greenhouse gas. ２ Regarding the amount of nitrous oxide (O) emitted in the field Field evaluation methods.

7. The farm field evaluation method according to claim 3, The inference is and estimating the soil temperature when plowing work is performed in the field based on the satellite image of the field. further comprising The calculating step includes: calculating the evaluation value further based on the soil temperature; Contains Field evaluation methods.

8. The farm field evaluation method according to claim 3, The inference is Estimating the concentration of free iron oxide in the field based on the application record information of iron materials. further comprising The calculating step includes: calculating the evaluation value further based on the concentration of the free iron oxide; Contains Field evaluation methods.

9. The farm field evaluation method according to claim 7 or 8, The evaluation value is the value of CH as a greenhouse gas. ４ (methane) emissions from the farmland Field evaluation methods.

10. a calculation unit that estimates a state of the field based on soil data that indicates the soil quality of the field, and calculates an evaluation value of the field related to greenhouse gas emissions based on the state of the field; an output unit that outputs information representing the evaluation value to an external device; Equipped with Field evaluation system.

11. A farm field evaluation program for realizing processing by being executed by a computing device, The process comprises: Inferring a state of the field based on soil data representing the soil quality of the field; calculating an evaluation value of the field related to greenhouse gas emissions based on the state of the field; outputting information representing the evaluation value to an external device; Contains Field evaluation program.

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