CN118071368A

CN118071368A - Information processing device, information processing method, and storage medium

Info

Publication number: CN118071368A
Application number: CN202410111461.XA
Authority: CN
Inventors: 下村豪徳; 土田满
Original assignee: Xiaononghe Co ltd
Current assignee: Xiaononghe Co ltd
Priority date: 2022-07-06
Filing date: 2023-07-03
Publication date: 2024-05-24
Also published as: WO2024009941A1; JP2024020551A; CN117677963A; JP2024007612A; JP7152097B1; JP7398833B1; JP2024008767A

Abstract

Conventionally, there is no platform for collecting and utilizing information on agricultural land. The present invention provides a platform for collecting and utilizing agricultural land information by an information processing apparatus (1), wherein the information processing apparatus (1) comprises: a sensor information receiving unit (121) that receives one or more pieces of sensor information of an agricultural field in association with an agricultural field identifier that identifies the agricultural field; a sensor information storage unit (132) for storing one or more pieces of agricultural information including one or more pieces of sensor information, in association with the agricultural identifier and the time information for specifying the time, the one or more pieces of sensor information being received by the sensor information receiving unit (121); and an information processing unit (133) that performs sensor information processing that is processing using one or more sensor information stored in the agricultural land information storage unit (114).

Description

Information processing device, information processing method, and storage medium

The present application is a divisional application of an application patent application with an application number 202380012408.8, entitled "information processing apparatus, information processing method, and storage medium".

Technical Field

The present invention relates to an information processing device and the like that receives, accumulates, and uses one or more pieces of sensor information associated with an agricultural land identifier at two or more points in time.

Background

Conventionally, there is a carbon dioxide emission right trading system for using plant chlorophyll content of rice leaves based on paddy fields and rice plots (CDM plots) (see patent document 1).

The carbon dioxide emissions rights transaction system includes: a classification step of judging whether a restriction frame of the carbon dioxide emission right exists or not, and classifying the clients by the presence or absence of CDM service areas; calculating the emission right according to a conversion method of the emission right of carbon dioxide; and buying and selling the discharge right obtained in the calculating step through the Internet.

Prior art literature

Patent literature

Patent document 1: japanese patent application laid-open No. 2019-8758

Disclosure of Invention

The invention aims to solve the technical problems

However, in the prior art, there is no platform for collecting and utilizing information of agricultural land.

Technical means for solving the technical problems

An information processing device according to a first aspect of the present invention includes: a sensor information receiving unit that receives one or more pieces of sensor information of an agricultural field in association with an agricultural field identifier that identifies the agricultural field; a sensor information storage unit configured to store one or more pieces of agricultural information including one or more pieces of sensor information in association with the agricultural identifier and the time information specifying the time, the one or more pieces of sensor information being received by the sensor information reception unit; and an information processing unit that performs sensor information processing as processing using the one or more pieces of sensor information stored in the agricultural land information storage unit.

According to the structure, a platform for collecting and utilizing information on agricultural land can be provided.

In addition, in the information processing apparatus according to the second aspect of the present invention, with respect to the first aspect, the one or more pieces of sensor information received by the sensor information receiving unit include water level information acquired by the water level sensor, and the information processing unit includes: a water zero period acquisition unit that acquires two or more pieces of water level information in a time series associated with one agricultural land identifier, and acquires water zero period information that identifies a period in which the water level of the agricultural land identified by the one agricultural land identifier is zero, using the two or more pieces of water level information and the time information paired with each of the two or more pieces of water level information; and a water zero period output unit that outputs the water zero period information acquired by the water zero period acquisition unit.

According to the configuration, the water zero period information can be acquired using the sensor information of the agricultural land.

Further, in the information processing apparatus according to the third aspect of the present invention, with respect to the first aspect, the one or more pieces of sensor information received by the sensor information receiving unit include water level information acquired by the water level sensor, and the agricultural land information includes area information for specifying an area of the agricultural land, the information processing unit includes: a water zero period acquisition unit that acquires two or more pieces of water level information in a time series associated with one agricultural land identifier, and acquires water zero period information that identifies a period in which the water level of the agricultural land identified by the one agricultural land identifier is zero, using the two or more pieces of water level information and the time information paired with each of the two or more pieces of water level information; an emission reduction amount acquisition unit that acquires an emission reduction amount of carbon dioxide in the agricultural land using the water zero period information acquired by the water zero period acquisition unit and the area information of the agricultural land; and an emission reduction amount output unit that outputs the emission reduction amount of carbon dioxide acquired by the emission reduction amount acquisition unit.

According to the configuration, the emission reduction amount of carbon dioxide can be obtained using the water zero period information obtained by using the sensor information of the agricultural land.

Further, in the information processing apparatus according to the fourth aspect of the present invention, the agricultural land information includes position information for specifying the position of the agricultural land, the emission reduction amount acquisition means acquires the methane generation amount corresponding to the position information of the agricultural land from the methane generation amount storage unit storing the methane generation amount of the region corresponding to the position information, substitutes the methane generation amount, the area information included in the agricultural land information of the agricultural land, and the water zero period information acquired by the water zero period acquisition means into an operation expression, and calculates the emission reduction amount of carbon dioxide by executing the operation expression.

According to the configuration, the emission reduction amount of carbon dioxide can be appropriately obtained using the water zero period information obtained by using the sensor information of the agricultural land.

Further, in the information processing apparatus according to the fifth aspect of the present invention, the information processing unit further includes a compensation processing unit that obtains and outputs compensation information corresponding to the emission reduction amount transmitted from the emission reduction amount output unit, in relation to the first aspect.

According to the structure, the farm land owner can be compensated.

Further, the information processing apparatus according to the sixth aspect of the present invention is the information processing apparatus according to the first aspect of the present invention, further comprising a learning model storage unit that stores a learning model in which two or more pieces of teacher data having set information, which is a set of time-series information of one or more pieces of sensor information of an agricultural land, and result information that identifies a harvest result in the agricultural land are learned by a learning process of machine learning, the information processing unit comprising; a result acquisition unit that acquires the collective information of one farm from the farm information storage unit, and performs prediction processing of machine learning using the collective information and the learning model to acquire result information of one farm; and a result output unit that outputs the result information acquired by the result acquisition unit.

According to the configuration, the result information for specifying the harvest result in the agricultural field can be obtained using the time-series sensor information of the agricultural field.

The information processing apparatus according to the seventh aspect of the present invention is the information processing apparatus according to the sixth aspect of the present invention, wherein the information processing unit further includes a watering control means for changing the amount of water supplied to one agricultural land or the timing of supplying water, using the result information output by the result output means.

According to the configuration, the control of watering in the agricultural land can be performed using the time-series sensor information of the agricultural land.

Further, an information processing apparatus according to an eighth aspect of the present invention is the information processing apparatus according to the first aspect, wherein the information processing section includes: a time period specifying unit that obtains time period specifying information for specifying a time period for acquiring the sensor information, using the one or more pieces of sensor information received by the sensor information receiving unit; and a time period output unit that outputs the time period determination information acquired by the time period determination unit.

According to the configuration, an appropriate time for acquiring the sensor information can be determined.

Further, in the information processing apparatus according to the ninth aspect of the invention, the frequency at which the sensor information receiving unit receives one or more pieces of sensor information differs according to the time period, with respect to any one of the first to eighth aspects of the invention.

According to the configuration, the sensor information can be effectively received at an appropriate timing.

ADVANTAGEOUS EFFECTS OF INVENTION

According to the information processing apparatus of the present invention, a platform for collecting and utilizing information of agricultural land can be provided.

Drawings

Fig. 1 is a conceptual diagram of an information system a in the first embodiment.

Fig. 2 is a block diagram of the information system a.

Fig. 3 is a block diagram of the information processing apparatus 1.

Fig. 4 is a flowchart illustrating an example of the operation of the information processing apparatus 1.

Fig. 5 is a flowchart illustrating an example of the operation of the information processing apparatus 1.

Fig. 6 is a flowchart illustrating an example of processing for acquiring the water zero period acquisition information.

Fig. 7 is a flowchart illustrating an example of the emission reduction amount acquisition process.

Fig. 8 is a flowchart illustrating an example of the result prediction processing.

Fig. 9 is a flowchart illustrating an example of this time period determination process.

Fig. 10 is a flowchart illustrating an example of the operation of the sensor 2.

Fig. 11 is a diagram showing the methane production amount management table.

Fig. 12 is a diagram showing the agricultural land management table.

Fig. 13 is an overview of the computer system.

Fig. 14 is a block diagram of the computer system.

Detailed Description

Hereinafter, embodiments of an information processing apparatus and the like will be described with reference to the drawings. In the embodiment, the same reference numerals are given to the same components and the same operations are performed, and therefore, a description thereof will be omitted.

(First embodiment)

In this embodiment, an information system including an information processing device that receives at least one piece of sensor information associated with an agricultural land identifier at least two points in time, and accumulates and uses the sensor information for each agricultural land in time series will be described. Further, agricultural land means a place where agricultural products are cultivated, for example, a field, a dry field, an orchard, a pasture land.

In the present embodiment, an information system including an information processing device that obtains water zero period information using sensor information and outputs the water zero period information will be described.

In the present embodiment, an information system including an information processing device that obtains water zero period information using sensor information and obtains and outputs a reduction amount of carbon dioxide emission using the water zero period information will be described.

In the present embodiment, an information system including an information processing apparatus that predicts a harvest result by providing and executing a learning process learning by machine learning to an in-machine learning prediction module and acquiring a learning model including a set of time-series sensor information and two or more teacher data of harvested result information, and a set of time-series sensor information is described.

In the present embodiment, an information system including an information processing device that controls watering in an agricultural field based on a predicted harvest result will be described.

In the present embodiment, an information system including an information processing device that automatically determines when sensor information is collected will be described.

Further, in the present embodiment, an information system including an information processing apparatus in which the frequency of collection of sensor information is different depending on the time period will be described.

In the present embodiment, the information X and the information Y are associated with each other, and the method of associating the information X and the information Y is not limited, and the information Y can be acquired from the information X or the information X can be acquired from the information Y. The information X and the information Y may have links, may exist in the same buffer, may be included in the information Y, or the like.

Fig. 1 is a conceptual diagram of an information system a in the present embodiment. The information system a includes an information processing device 1 and one or more sensors 2. The information system a is generally provided with two or more sensors 2. The information system a includes one or two or more sensors 2 for each of two or more agricultural fields.

The information processing device 1 is a device that receives and stores sensor information acquired by one or more sensors 2. The information processing apparatus 1 is a so-called server, such as a cloud server, an ASP server, or the like, but the kind thereof is not limited.

The sensor 2 has a function of acquiring information. The sensor 2 is arranged on the agricultural land. The positioning on the agricultural field also includes positioning on the perimeter of the agricultural field. The sensor 2 is, for example, a water level sensor, a camera, a temperature sensor, a humidity sensor. The sensor 2 may be, for example, a device having a function of acquiring sensor information stored in a server not shown.

Fig. 2 is a block diagram of the information system a in the present embodiment. Fig. 3 is a block diagram of the information processing apparatus 1.

The information processing apparatus 1 includes a storage unit 11, a receiving unit 12, a processing unit 13, and a transmitting unit 14. The storage unit 11 includes a methane generation amount storage unit 111, a teacher data storage unit 112, a learning model storage unit 113, and an agricultural land information storage unit 114. The receiving unit 12 includes a sensor information receiving unit 121. The processing unit 13 includes a learning unit 131, a sensor information storage unit 132, and an information processing unit 133. The information processing unit 133 includes a water zero period acquisition unit 1331, a water zero period output unit 1332, a emission reduction amount acquisition unit 1333, an emission reduction amount output unit 1334, a result acquisition unit 1335, a result output unit 1336, a watering control unit 1337, a timing determination unit 1338, a timing output unit 1339, and a compensation processing unit 1340.

The sensor 2 includes a sensor storage unit 21, a sensor acquisition unit 22, a sensor transmission unit 23, a sensor reception unit 24, and a sensor setting unit 25.

The storage unit 11 constituting the information processing apparatus 1 stores various information. The various information is, for example, methane generation amount to be described later, teacher data to be described later, learning model to be described later, agricultural land information to be described later.

The methane generation amount storage unit 111 stores the methane generation amount of the region corresponding to the position information. The methane production is generally the production of methane per unit area.

For example, one or more pieces of production amount management information are stored in the methane production amount storage unit 111. The production amount management information includes a region identifier and a methane production amount. The region identifier is information for identifying a region. The region identifier is, for example, an ID, a domain name, a city name, and a prefecture name. The region identifier corresponds to the location information. The correspondence between the region identifier and the location information may be managed by the methane-generating-amount storage unit 111 or by an external device (not shown). The location information may be a region identifier. The correspondence of the region identifier and the location information is determined, for example, from map information.

Two or more pieces of teacher data are stored in the teacher data storage section 112. The teacher data is information that is the basis for constructing a learning model. The teacher data here has set information and result information.

The aggregate information is an aggregate of information of time series of one or more sensor information of the agricultural land. The set information is typically a set of one or more sensor information for a specific period. The specific period is, for example, a period from the first to a predetermined ratio (for example, 3, 5, or 7) of the cultivation period of one harvest. The specific period is, for example, the first half period (for example, from 1 day of 4 months to 15 days of 6 months) of a cultivation period of one harvest (for example, rice). The aggregate information may become an explanatory variable.

The result information means information for determining a harvest result in the agricultural land. The result information is, for example, one or both of harvest yield, taste grade. Taste grade may also be referred to as harvest quality grade. The result information may also become a target variable (interpreted variable).

The learning model storage unit 113 stores a learning model. The learning model is information constructed by a learning process of machine learning, and is information used for a prediction process of machine learning. Here, the learning model is information for obtaining predicted result information by a prediction process for machine learning together with the obtained set information. The learning model is information for learning and acquiring two or more pieces of teacher data by learning processing of machine learning.

The learning model may also be referred to as a learner, classifier, classification model, or the like. The machine learning algorithm is deep learning, random forest, decision tree, SVM, etc., without limitation. For example, a TensorFlow library, a random forest module of R language, various machine learning functions such as fastText, tinySVM, and various existing libraries may be used for machine learning.

One or more pieces of agricultural land information are stored in the agricultural land information storage section 114. In general, two or more pieces of agricultural information are stored in the agricultural information storage 114.

Agricultural land information refers to information about an agricultural land. The agricultural information is typically associated with an agricultural identifier. The agricultural land identifier refers to information identifying an agricultural land. The agricultural land identifier is, for example, an ID of the agricultural land, a name of the agricultural land, an identifier of an owner of the agricultural land (e.g., ID, name), but only if the agricultural land can be identified. The agricultural land information includes more than one sensor information. The agricultural land information may also have more than one agricultural land attribute value.

The sensor information is information acquired by the sensor 2. The sensor information is, for example, water level information, an image, water temperature information, air temperature information, and humidity information.

The water level information is information for determining the water level flowing through the agricultural land or the waterway around the agricultural land. The image is an image of a photographed agricultural field. The water temperature information is information for determining the temperature of water flowing through the agricultural land or a waterway around the agricultural land. The air temperature information is the air temperature around the agricultural land. The humidity information is the humidity of the periphery of the agricultural land.

The sensor information of the agricultural land information storage unit 114 is generally associated with time information for specifying the time of acquiring the sensor information. The time for acquiring the sensor information may be the time for receiving the sensor information. The time information is, for example, year, month, day, minute, second, year, month, day, time, month, day, and time, and the granularity is not limited.

Agricultural property values refer to property values of an agricultural field. The agricultural property value is, for example, position information for determining the position of the agricultural land, area information for determining the area of the agricultural land, and a grade for determining the degree of well being of the agricultural land.

The receiving unit 12 receives various information and instructions. The various information and instructions include, for example, sensor information, a water zero period acquisition instruction, an emission reduction amount acquisition instruction, a learning instruction, a result prediction instruction, and an information acquisition instruction.

The water zero period acquisition instruction is an instruction to acquire water zero period information. The water zero period acquisition instruction includes, for example, information for determining one or more agricultural lands. The water zero period acquisition instruction includes, for example, one or more agricultural land identifiers.

The emission reduction amount acquisition instruction is an instruction to acquire the emission reduction amount of carbon dioxide. The emission reduction amount acquisition instruction includes, for example, information for specifying one or more agricultural lands. The emission reduction amount acquisition instruction includes, for example, one or more agricultural land identifiers.

The learning instruction is an instruction to create a learning model.

The result prediction instruction is an instruction to acquire predicted result information. The result prediction instruction includes, for example, information for determining one or more agricultural lands. The outcome prediction indication, for example, includes more than one agricultural land identifier.

The information acquisition instruction is an instruction to acquire information. The information is, for example, information constituting agricultural land information of the agricultural land information storage section 114, water zero period information, and emission reduction amount of carbon dioxide. The information acquisition instruction includes, for example, information for specifying one or more agricultural fields. The information acquisition instruction includes, for example, one or more agricultural land identifiers.

The receiving unit 12 receives various instructions from a user terminal, not shown, for example.

The sensor information receiving unit 121 receives one or more pieces of sensor information in association with the agricultural land identifier. The sensor information receiving unit 121 may receive the sensor information in association with the time information. Such time information is information for determining the time at which the sensor information is acquired. The sensor information receiving unit 121 may receive the sensor information in association with the information identifier. The information identifier is information for specifying the type of sensor information. The information identifier is, for example, any one of "water level", "water temperature", "image", and the like.

The sensor information receiving unit 121 preferably receives sensor information from one or more sensors 2. However, the sensor information receiving unit 121 may receive the sensor information acquired by the sensor 2 from another device (not shown).

The processing unit 13 performs various processes. The various processes are, for example, processes performed by the learning unit 131, the sensor information storage unit 132, and the information processing unit 133.

The processing unit 13 acquires information corresponding to the information acquisition instruction received by the receiving unit 12, for example, from the storage unit 11. Such information is, for example, one or more sensor information of the agricultural land information storage unit 114.

For example, the processing unit 13 may acquire time-series sensor information corresponding to the information acquisition instruction received by the receiving unit 12 from the storage unit 11, and construct a curve representing the passage of the sensor information with time from the time-series sensor information.

The learning unit 131 performs learning processing of machine learning. That is, the learning unit 131 obtains two or more pieces of teacher data from the teacher data storage unit 112, supplies the two or more pieces of teacher data to a module of the learning process of the machine learning, and executes the module to obtain the learning model. The learning unit 131 preferably stores the acquired learning model in the learning model storage unit 113. The learning unit 131 may acquire the learning model, or another device not shown may acquire the learning model.

The sensor information storage 132 stores one or more pieces of sensor information received by the sensor information receiving unit 121 and one or more pieces of agricultural land identifiers associated with the one or more pieces of sensor information in association with time information in the agricultural land information storage 114.

The sensor information receiving unit 121 may receive the time information, or the sensor information storage unit 132 may acquire the time information from a clock (not shown).

The information processing unit 133 performs sensor information processing as processing using one or more pieces of sensor information. The one or more sensor information is stored in the agricultural land information storage section 114.

The sensor information processing is, for example, processing performed by one or two or more constituent elements of water zero period acquisition section 1331, water zero period output section 1332, emission reduction amount acquisition section 1333, emission reduction amount output section 1334, result acquisition section 1335, result output section 1336, watering control section 1337, timing determination section 1338, and timing output section 1339, which will be described later.

The water zero period acquisition unit 1331 acquires time-series two or more pieces of water level information associated with an agricultural identifier of an agricultural field to be treated, and acquires water zero period information of the agricultural field identified by the agricultural field identifier by using the two or more pieces of water level information and time information paired with each of the two or more pieces of water level information.

The water zero period information is information for specifying a period during which the water level is zero. The water zero period information is, for example, a set of information indicating a period in which the water level is zero, information specifying a start time to an end time of the period in which the water level is zero, and continuous time information specifying a time in which the water level is zero.

The water zero period output unit 1332 outputs the water zero period information acquired by the water zero period acquisition unit 1331.

Here, the output means, for example, transmission to an external device, accumulation to a storage medium, transmission of a processing result to another processing device, another program, or the like, but may be a concept including display to a display, projection using a projector, printing using a printer, or the like.

Emission reduction amount obtaining section 1333 obtains the emission reduction amount of carbon dioxide in the agricultural land using the water zero period information of the agricultural land to be treated and the area information of the agricultural land. The water zero period information is information acquired by the water zero period acquisition unit 1331. The area information is information stored in the agricultural land information storage section 114.

When the water zero period information is information indicating a long period, emission reduction amount obtaining section 1333 obtains a larger emission reduction amount than when the water zero period information is information indicating a short period.

When the area information is information indicating a large value, emission reduction amount obtaining section 1333 obtains a large emission reduction amount as compared with the case where the area information is information indicating a small value.

Emission reduction amount obtaining section 1333 obtains the emission reduction amount by, for example, an increasing function using the water zero period information as a parameter.

The emission reduction amount obtaining unit 1333 obtains the emission reduction amount by, for example, an increasing function using the area information as a parameter.

Emission reduction amount obtaining section 1333 obtains the methane generation amount corresponding to the position information of the agricultural land from methane generation amount storage unit 111, substitutes the methane generation amount, the area information of the agricultural land, and the water zero period information into an operation expression, and calculates the emission reduction amount of carbon dioxide by executing the operation expression. Further, the methane production amount is the production amount of methane per unit area.

Emission reduction amount obtaining section 1333 multiplies methane generation amount (t/ha) by area information (m ²) of the agricultural land, water level zero period information (t), and a carbon dioxide amount conversion coefficient (e.g., "28"), for example, to calculate emission reduction amount.

The emission reduction amount obtaining unit 1333 may obtain the emission reduction amount as the target variable by prediction processing of machine learning using, for example, an interpretation variable group including area information and water zero period information and a learning model. In this case, emission reduction amount acquisition section 1333 uses a learning model acquired by a learning process of machine learning using two or more teacher data having an interpretation variable group including area information and water zero period information, and emission reduction amount as target variables. Furthermore, the set of explanatory variables preferably has methane production. The algorithm of machine learning here is not limited to deep learning, random forest, decision tree, SVM, and the like as described above.

The emission reduction amount output unit 1334 outputs the emission reduction amount of carbon dioxide acquired by the emission reduction amount acquisition unit 1333.

The result obtaining unit 1335 obtains the set information of the agricultural land to be treated from the agricultural land information storage unit 114, and performs prediction processing of machine learning using the set information and the learning model, thereby obtaining result information of the agricultural land.

The algorithm of the prediction processing of the machine learning is not limited to deep learning, random forest, decision tree, SVM, and the like as described above.

The result output unit 1336 outputs the result information acquired by the result acquisition unit 1335.

The watering control unit 1337 changes the amount of water supplied to the agricultural land or the timing of supplying water using the result information output by the result output unit 1336.

The watering control unit 1337, for example, uses the result information output by the result output unit 1336, and transmits an instruction to change the amount of water supplied to the agricultural land or the timing of supplying water, for example, to an automatic watering machine corresponding to the agricultural land.

In addition, the automatic watering machine is not illustrated. In addition, the automatic watering machine receives the indication and performs watering on the farm land according to the indicated quantity or the indicated opportunity. Furthermore, the handling of watering based on automatic watering machines is a well known technique. In addition, the automatic watering machine performs watering according to the stored information of the quantity and the information of the time. In addition, the automatic watering machine receives and stores water amount or provides information of water timing, and watering is carried out according to the information.

The timing specification unit 1338 obtains timing specification information for specifying a timing at which the sensor information is acquired, using one or more pieces of sensor information received by the sensor information receiving unit 121.

The timing determination unit 1338 obtains timing determination information that increases the frequency of acquiring sensor information, for example, when the amount of change in the sensor information of two or more consecutive time series is equal to or greater than a threshold value.

The timing specification unit 1338 obtains timing specification information for reducing the frequency of acquiring sensor information when, for example, the amount of change in the sensor information of two or more consecutive time series is equal to or smaller than a threshold value.

The time period specifying unit 1338 obtains time period specifying information obtained every 12 hours, for example, when the amount of change in sensor information obtained every 24 hours is equal to or greater than a threshold value. The time period determination information in this case is, for example, "12 points, 24 points per day".

The period output unit 1339 outputs the period determination information acquired by the period determination unit 1338. The period output unit 1339 transmits the period determination information acquired by the period determination unit 1338 to the corresponding sensor 2, for example. The sensor 2 receives and accumulates the time period determination information.

Here, the output means, for example, transmission to an external device, accumulation to a storage medium, transmission to other processing devices, transmission of processing results of other programs, and the like, but may be a concept including display to a display, projection using a projector, printing using a printer, and the like.

The compensation processing unit 1340 performs compensation processing. The compensation process refers to a process for providing the owner of the agricultural land with compensation corresponding to the emission reduction amount of carbon dioxide of the agricultural land acquired by the emission reduction amount acquisition unit 1333. Compensation refers to the benefit provided to the owner of the agricultural land. The content of the compensation is not limited. The compensation is, for example, an amount, a point, a coupon, free of some fees, free of use fees of the information processing apparatus 1, or a deduction.

The compensation processing unit 1340 obtains compensation information corresponding to the emission reduction amount obtained by the emission reduction amount obtaining unit 1333, for example. The compensation information is information for determining compensation. The compensation information is, for example, information indicating an amount of money, information indicating a credit, and information of a coupon. The compensation information is, for example, information (e.g., a tag) for free of any of some fees. The compensation information is, for example, information for free of the use fee of the information processing apparatus 1 or for deduction. The manner, content, etc. of the compensation information are not limited.

In general, the compensation processing unit 1340 obtains compensation information indicating larger compensation as the emission reduction amount obtained by the emission reduction amount obtaining unit 1333 is larger.

The compensation processing unit 1340 calculates compensation information by, for example, an increasing function using the emission reduction amount acquired by the emission reduction amount acquisition unit 1333 as a parameter.

The compensation processing unit 1340 obtains, for example, compensation information paired with the emission reduction amount obtained by the emission reduction amount obtaining unit 1333 from the compensation correspondence table. The compensation correspondence table is a table having two or more pieces of correspondence information. The correspondence information is information that determines a pair of the information of the magnitude of the emission reduction amount and the compensation information.

The compensation processing unit 1340 performs, for example, processing for subtracting an amount corresponding to the emission reduction amount acquired by the emission reduction amount acquisition unit 1333 from the usage fee of the information processing apparatus 1, and requesting only the reduced fee to the owner of the agricultural land corresponding to the emission reduction amount. Such a process is, for example, a process of settling the reduced fee using the credit card number of the owner of the agricultural land.

The transmitting unit 14 transmits various information. The transmitting unit 14 is, for example, information acquired by the processing unit 13 in response to the information acquisition instruction received by the receiving unit 12. The transmitting unit 14 transmits the information acquired by the processing unit 13 to, for example, a user terminal, not shown, which has transmitted the information acquisition instruction.

Various information is stored in the sensor storage unit 21 constituting the sensor 2. The various information includes, for example, an agricultural identifier of the agricultural land corresponding to the sensor 2, an information identifier, a sensor identifier, sensor information, position information of the agricultural land corresponding to the sensor 2, and time period specifying information.

The information identifier is information for identifying the type of the sensor information. The information identifiers are, for example, "water level", "image", "water temperature".

The sensor identifier is information for identifying the sensor. The sensor identifier is, for example, the ID of the sensor or the name of the sensor.

The sensor acquisition unit 22 acquires sensor information. When the sensor 2 is a water level sensor, the sensor acquisition unit 22 acquires water level information. When the sensor 2 is a camera, the sensor acquisition unit 22 acquires an image. The image is typically a still image, but may also be video. When the sensor 2 is a temperature sensor, the sensor acquisition unit 22 acquires water temperature information or air temperature information. When the sensor 2 is a humidity sensor, the sensor acquisition unit 22 acquires humidity information.

The sensor obtaining unit 22 preferably obtains the sensor information when the time period specifying information of the sensor storage unit 21 is specified. The time period specifying information is, for example, a time when the sensor information is acquired (for example, 12:00 a day), and a time of day and month when the sensor information is acquired (for example, 5 months, 25 days, 15 hours, 30 minutes).

The sensor acquisition unit 22 may acquire the sensor information based on reception of an instruction from the outside.

The sensor transmitting unit 23 transmits the sensor information acquired by the sensor acquiring unit 22. The sensor transmitting unit 23 preferably transmits the sensor information in association with the information stored in the sensor storage unit 21. Here, the information stored in the sensor storage unit 21 is, for example, an agricultural land identifier, an information identifier, a sensor identifier, and positional information. The sensor transmitting unit 23 preferably transmits the sensor information in association with the time information. The time information is time information acquired by the sensor transmitting unit 23 from a clock not shown, and is information for specifying the time at which the sensor information is acquired. The sensor transmitting unit 23 preferably transmits the sensor information to the information processing apparatus 1, but may transmit the sensor information to another apparatus (for example, a relay apparatus that relays the sensor information).

The sensor receiving unit 24 receives various information and instructions. The sensor receiving unit 24 receives various information and instructions from the information processing apparatus 1, for example. The various information and indications are, for example, period determination information.

The sensor setting unit 25 stores the time period specifying information received by the sensor 2 in the sensor storage unit 21. The sensor setting unit 25 preferably stores the time period specifying information received by the sensor receiving unit 24 in the sensor storage unit 21, and updates the time period specifying information.

The storage unit 11, the methane generation amount storage unit 111, the teacher data storage unit 112, the learning model storage unit 113, the agricultural land information storage unit 114, and the sensor storage unit 21 are preferably nonvolatile storage media, but may be realized by volatile storage media.

The process of storing information in the storage section 11 or the like is not limited. For example, the information may be stored in the storage unit 11 or the like via a storage medium, the information transmitted via a communication line or the like may be stored in the storage unit 11 or the like, or the information input via an input device may be stored in the storage unit 11 or the like.

The reception unit 12, the sensor information reception unit 121, and the sensor reception unit 24 are usually realized by wireless or wired communication means, but may be realized by means of a means for receiving a broadcast.

In general, the processing unit 13, the learning unit 131, the sensor information storage unit 132, the information processing unit 133, the water zero period acquisition unit 1331, the water zero period output unit 1332, the emission reduction amount acquisition unit 1333, the emission reduction amount output unit 1334, the result acquisition unit 1335, the result output unit 1336, the watering control unit 1337, the timing determination unit 1338, the timing output unit 1339, the compensation processing unit 1340, the sensor acquisition unit 22, and the sensor setting unit 25 may be implemented by a processor, a memory, or the like. In general, the processing steps of the processing section 13 and the like are realized by software stored in a storage medium such as a ROM. However, it may be realized by hardware (dedicated circuit). The processor is CPU, MPU, GPU or the like, and the type thereof is not limited.

The transmitting unit 14, the sensor transmitting unit 23, the water zero period output unit 1332, the result output unit 1336, and the time period output unit 1339 are realized by, for example, wireless or wired communication units, but may be realized by a broadcasting unit.

Next, an operation example of the information system a will be described. First, an operation example of the information processing apparatus 1 will be described with reference to the flowcharts of fig. 4 and 5.

The sensor information receiving unit 121 determines whether or not the sensor information is received (step S401). Step S402 is entered when the sensor information is received, and step S404 is entered when the sensor information is not received.

The sensor information storage unit 132 acquires the sensor information received in step S401, the agricultural land identifier, and the like (step S402). The agricultural identifier or the like contains an agricultural identifier associated with the received sensor information. The agricultural land identifier or the like preferably contains time information. That is, the sensor information storage unit 132 acquires time information associated with the sensor information or acquires time information from a clock not shown.

The sensor information storage 132 stores the sensor information in the agricultural land information storage 114 in association with the agricultural land identifier or the like acquired in step S402 (step S403). Returning to step S401.

The receiving unit 12 determines whether or not a water zero period acquisition instruction is received (step S404). When the water zero period acquisition instruction is received, the process proceeds to step S405, and when the water zero period acquisition instruction is not received, the process proceeds to step S410.

(Step S405) the water zero period acquisition unit 1331 substitutes 1 into the counter i.

(Step S406) the water zero period acquisition unit 1331 refers to the agricultural land information storage unit 114, and determines whether or not there is the ith agricultural land information corresponding to the water zero period acquisition instruction. Step S407 is entered when the ith agricultural land information is present, and step S401 is returned to when it is not present. Further, the case where the i-th agricultural land information exists is the case where the i-th agricultural land exists.

(Step S407) the water zero period acquisition unit 1331 acquires the water zero period acquisition information corresponding to the i-th agricultural land. An example of the process of acquiring information during the water zero period will be described with reference to the flowchart of fig. 6.

The water zero period output unit 1332 outputs water zero period acquisition information corresponding to the i-th agricultural land information (step S408).

The water zero period output unit 1332 also stores the water zero period acquisition information acquired in step S407 in the agricultural land information storage unit 114 in association with the i-th agricultural land information. The water zero period output unit 1332 transmits the water zero period acquisition information acquired in step S407 and the i-th agricultural land identifier to the user terminal that transmitted the incoming water zero period acquisition instruction, for example. The water zero period output unit 1332 transmits the water zero period acquisition information acquired in step S407, for example, to another device (not shown) or another processing unit (not shown) in pairs with the i-th agricultural land identifier.

The water zero period acquisition unit 1331 increments the counter i by 1 (step S409). Returning to step S406.

The receiving unit 12 determines whether or not an emission reduction amount acquisition instruction is received (step S410). When the emission reduction amount acquisition instruction is received, the flow proceeds to step S411, and when the emission reduction amount acquisition instruction is not received, the flow proceeds to step S416.

The emission reduction amount obtaining unit 1333 substitutes 1 into the counter i (step S411).

The emission reduction amount acquisition unit 1333 refers to the agricultural land information storage section 114 and determines whether or not the ith agricultural land information corresponding to the emission reduction amount acquisition instruction is present (step S412). If there is the ith agricultural land information, the process proceeds to step S413, and if there is no information, the process returns to step S401.

The emission reduction amount obtaining unit 1333 obtains the emission reduction amount of carbon dioxide of the ith agricultural land (step S413). An example of the emission reduction amount acquisition process will be described with reference to the flowchart of fig. 7.

The emission reduction amount output unit 1334 outputs the emission reduction amount of carbon dioxide corresponding to the ith agricultural land information (step S414).

Further, the emission reduction amount output unit 1334 accumulates the emission reduction amount acquired in step S413 in the agricultural information storage portion 114 in association with the ith agricultural information, for example. The emission reduction amount output unit 1334 transmits, for example, the emission reduction amount acquired in step S413 to the user terminal that transmitted the emission reduction amount acquisition instruction in pairs with the i-th agricultural land identifier. The emission reduction amount output unit 1334 transmits the emission reduction amount acquired in step S413 to another device (not shown) or another processing unit (not shown) in pairs with the i-th agricultural land identifier, for example.

The emission reduction amount obtaining unit 1333 increments the counter i by 1 (step S415). Returning to step S412.

(Step S416) the receiving unit 12 determines whether or not a learning instruction is received. Step S417 is performed when the learning instruction is received, and step S420 is performed when the learning instruction is not received.

(Step S417) the learning unit 131 obtains two or more pieces of teacher data from the teacher data storage unit 112.

(Step S418) the learning unit 131 supplies the two or more teacher data acquired in step S417 to the module for performing the learning process of the machine learning, and executes the module to acquire the learning model.

(Step S419) the learning unit 131 stores the learning model acquired in step S418 in the learning model storage unit 113. Returning to step S401.

The reception unit 12 determines whether or not a result prediction instruction is received (step S420). Step S421 is performed when the result prediction instruction is received, and step S426 is performed when the result prediction instruction is not received.

The result obtaining unit 1335 substitutes 1 into the counter i (step S421).

The result obtaining unit 1335 refers to the agricultural land information storage section 114 and determines whether or not the i-th agricultural land information corresponding to the result prediction instruction exists (step S422). Step S423 is entered if the ith agricultural land information is present, and step S401 is returned to if it is not present.

(Step S423) the result obtaining unit 1335 performs a process of predicting the result of harvest of the ith agricultural land and obtaining a predicted result. An example of the result prediction processing will be described with reference to the flowchart of fig. 8. In addition, the prediction result is result information.

The result output unit 1336 outputs the prediction result acquired in step S423 (step S424).

Further, the result output unit 1336 stores the prediction result acquired in step S423 in the agricultural land information storage unit 114 in association with the i-th agricultural land information. The result output unit 1336 transmits the prediction result obtained in step S423 to the user terminal that transmitted the result prediction instruction in pair with the i-th agricultural land identifier, for example. The result output unit 1336 transmits the prediction result obtained in step S423 and the i-th agricultural identifier to another device (not shown) or another processing unit (not shown), for example, in pairs.

The result obtaining unit 1335 substitutes 1 into the counter i (step S425). Returning to step S422.

The processing unit 13 determines whether or not the timing of the change of the watering control is the timing (step S426). If the timing is the timing of changing the watering control, the flow proceeds to step S427, and if the timing is not the timing of changing the watering control, the flow proceeds to step S434.

The timing of changing the watering control means a timing of changing the amount of watering or the timing of watering (frequency may be included) in the agricultural land.

The timing of changing the watering control may be periodic, may be received from a user, or may be such that the predicted result obtained by the result obtaining unit 1335 satisfies a predetermined failure condition. The adverse condition is, for example, one or more conditions of a harvest yield or a quality level, for example, a harvest yield of a threshold value or less, a quality level of a threshold value or less, or a threshold value or less.

The result obtaining unit 1335 substitutes 1 into the counter i (step S427).

The result obtaining unit 1335 refers to the agricultural land information storage unit 114 and determines whether or not the ith agricultural land information corresponding to the timing of changing the watering control is present (step S428). Step S429 is entered when the ith agricultural land information is present, and step S401 is returned to when it is not present.

The result obtaining unit 1335 performs the result prediction processing of the i-th agricultural land (step S429). An example of the result prediction process will be described with reference to the flowchart of fig. 8.

(Step S430) the watering control section 1337 determines whether the prediction result obtained in step S429 satisfies the change condition. If the change condition is satisfied, the process proceeds to step S431, and if the change condition is not satisfied, the process proceeds to step S433.

The changing condition is a condition for changing the amount or timing of watering. The change condition is, for example, one or more conditions of a predicted value of the harvest amount or a predicted value of the quality level included in the predicted result, for example, a predicted value of the harvest amount being equal to or smaller than a threshold value or a predicted value of the quality level being equal to or smaller than a threshold value.

The watering control unit 1337 obtains the watering information paired with the agricultural identifier of the i-th agricultural land from the agricultural land information storage section 114 or the received information (step S431). The watering control unit 1337 changes the acquired watering information, and acquires new watering information.

The watering information is information on the current amount or timing of watering. The new watering information includes, for example, an amount of water to increase or decrease the amount of water included in the acquired watering information by a predetermined amount. The new watering information is, for example, information indicating a frequency greater than or less than the frequency indicated by the timing of watering included in the acquired watering information by a predetermined number of times.

(Step S432) the watering control unit 1337 outputs the new watering information acquired in step S431.

Further, for example, the watering control unit 1337 stores the new watering information acquired in step S431 in the agricultural land information storage unit 114 in association with the ith agricultural land information. The watering control unit 1337 transmits the new watering information acquired in step S431 to, for example, an automatic watering device (not shown) provided in the i-th agricultural land (not shown). The watering control unit 1337 transmits the new watering information acquired in step S431 to another device (not shown) or another processing unit (not shown) in pairs with the i-th agricultural land identifier, for example.

The result obtaining unit 1335 increments the counter i by 1 (step S433). Returning to step S428.

(Step S434) the processing unit 13 determines whether or not the timing of the transmission of the information is changed. If the timing is the timing for changing the information transmission timing, the flow proceeds to step S435, and if the timing is not the timing for changing the information transmission timing, the flow proceeds to step S444.

The period determination unit 1338 substitutes 1 into the counter i (step S435).

The timing determination unit 1338 refers to the agricultural land information storage section 114 and determines whether or not the ith agricultural land information corresponding to the timing of changing the information transmission timing is present (step S436). If there is the ith agricultural land information, the process proceeds to step S437, and if there is no information, the process returns to step S401.

The period determination unit 1338 substitutes 1 into the counter j (step S437).

The period determination unit 1338 refers to the agricultural land information storage section 114 and determines whether or not there is a j-th sensor corresponding to the i-th agricultural land information (step S438). Step S439 is entered when there is a j-th sensor corresponding to the i-th agricultural land information, and step S443 is entered when there is no j-th sensor.

The period determination unit 1338 performs (step S439) a process of determining the transmission period of the sensor information in the jth sensor corresponding to the ith agricultural land information. An example of the time period determination process will be described with reference to the flowchart of fig. 9.

The timing output unit 1339 acquires timing determination information paired with the sensor information of the j-th sensor corresponding to the i-th agricultural land information from the agricultural land information storage section 114 or the received information (step S440). Next, the period output unit 1339 determines whether or not the period specifying information acquired in step S439 has been changed from the original period specifying information. If there is a change, the process proceeds to step S441, and if there is no change, the process proceeds to step S442.

The period output unit 1339 outputs the period determination information acquired in step S439 (step S441).

Further, the period output unit 1339 stores the period specification information acquired in step S439 in the agricultural land information storage unit 114 in association with the information of the jth sensor 2 of the ith agricultural land information, for example. The period output unit 1339 transmits the period determination information acquired in step S439 to, for example, the jth sensor 2 of the ith agricultural land. The timing output unit 1339 transmits the timing specification information acquired in step S439, for example, to another device (not shown) or another processing unit (not shown) in pairs with the i-th agricultural land identifier and the j-th sensor 2 identifier.

The period determination unit 1338 increments the counter j by 1 (step S442). Returning to step S438.

The period determination unit 1338 increments the counter i by 1 (step S443). Returning to step S436.

The reception unit 12 determines whether or not an information acquisition instruction has been received (step S444). When the information acquisition instruction is received, the process advances to step S445, and when the information acquisition instruction is not received, the process returns to step S401.

The processing unit 13 acquires information corresponding to the condition included in the information acquisition instruction from the agricultural land information storage unit 114 (step S445).

The transmission unit 14 transmits the information acquired in step S445 to the user terminal (not shown) that transmitted the information acquisition instruction (step S446). Returning to step S401.

In the flowcharts of fig. 4 and 5, the process is terminated by the power-off or an interrupt to terminate the process.

In the flowcharts of fig. 4 and 5, the compensation processing unit 1340 may receive the emission reduction amount of carbon dioxide output by the emission reduction amount output means 1334 in step S414 and perform compensation processing.

Next, an example of the water zero period acquisition process in step S407 will be described with reference to the flowchart in fig. 6.

(Step S601) the water zero period acquisition unit 1331 acquires the agricultural land identifier of the agricultural land to be treated. Next, the water zero period acquisition unit 1331 acquires, from the agricultural land information storage unit 114, two or more pieces of water level information in a time series paired with the agricultural land identifier in pairs with the time information.

Further, the water zero period acquisition unit 1331 preferably acquires all water level information paired with time information of a predetermined period (for example, 1 year, 4 months to 10 months, etc.) from the agricultural land information storage unit 114 in pairs with the time information. Here, water zero period acquisition section 1331 acquires water level information in pairs with time information, the water level information being sorted by time information as a keyword.

The water zero period acquisition unit 1331 substitutes 1 into the counter i (step S602).

(Step S603) the water zero period acquisition unit 1331 determines whether or not the i-th water level information exists among the water level information acquired in step S601. Step S604 is performed when the i-th water level information is present, and step S610 is performed when the i-th water level information is not present.

The water zero period acquisition unit 1331 determines whether the water level determined by the i-th water level information is "0" (step S604). Step S605 is entered if the water level is "0", and step S606 is entered if the water level is not "0".

The water zero period acquisition unit 1331 acquires time information paired with the i-th water level information, and temporarily stores the time information in a buffer not shown (step S605). Step S609 is entered.

(Step S606) the water zero period acquisition unit 1331 determines whether or not there are two or more pieces of time information in a buffer not shown. If there are two or more pieces of time information, the process advances to step S607, and if there are no pieces of time information, the process advances to step S609.

The water zero period acquisition unit 1331 acquires information of a period which is an interval between the first time and the last time in time and is indicated by two or more pieces of time information existing in a buffer not shown in the figure (step S607), and records the information in the buffer not shown in the figure.

(Step S608) the water zero period acquisition unit 1331 deletes two or more pieces of time information stored in a buffer not shown.

(Step S609) the water zero period acquisition unit 1331 increments the counter i by 1. Returning to step S603.

(Step S610) the water zero period acquisition unit 1331 determines whether or not there are two or more pieces of time information in a buffer not shown. If there are two or more pieces of time information, the process proceeds to step S611, and if there are no pieces of time information, the process proceeds to step S613.

The water zero period acquisition unit 1331 acquires information of a period which is an interval between the first time and the last time in time and is indicated as two or more pieces of time information existing in a buffer not shown in the figure (step S611), and records the information in the buffer not shown in the figure.

(Step S612) the water zero period acquisition unit 1331 deletes two or more pieces of time information stored in a buffer not shown.

The water zero period acquisition unit 1331 acquires all the period information stored in the buffer (not shown) (step S613). Here, the water zero period acquisition unit 1331 may not acquire the period information.

(Step S614) the water zero period acquisition unit 1331 adds the information of all the periods acquired in step S613 to acquire water zero period information specifying all the periods of water zero. Returning to the upper processing.

In the flowchart of fig. 6, when one piece of water level information is zero and the water level information of zero is discontinuous in time, the water zero period information is not considered, but when the water level information of zero is discontinuous in time, a period such as a predetermined period (for example, 1 day) may be added to the water zero period information for the one piece of water level information of zero.

In the flowchart of fig. 6, the water zero period information is information indicating a period (for example, 15 days, 53 hours, etc.), but may be a set of time information corresponding to each water level information of zero, the number of time information corresponding to each water level information of zero, etc., as long as it is information constituting a basis for determining a period in which the water level of the agricultural land is zero.

Next, an example of the emission reduction amount acquisition process of step S413 will be described with reference to the flowchart of fig. 7.

(Step S701) the water zero period acquisition unit 1331 acquires water zero period information of the agricultural land to be treated. The water zero period acquisition process will be described with reference to the flowchart of fig. 6.

The emission reduction amount acquisition unit 1333 acquires an agricultural land identifier corresponding to the agricultural land to be treated (step S702).

The emission reduction amount acquisition unit 1333 acquires the area information paired with the agricultural identifier acquired in step S702 from the agricultural information storage 114 (step S703).

The emission reduction amount acquisition unit 1333 acquires (step S704) positional information paired with the agricultural land identifier acquired in step S702 from the agricultural land information storage section 114.

The emission reduction amount obtaining unit 1333 refers to the methane generation amount storage unit 111 and obtains the methane generation amount of the agricultural land to be treated using the positional information obtained in step S704 (step S705).

The emission reduction amount obtaining unit 1333 obtains the emission reduction amount of carbon dioxide using the water zero period information, the area information, and the methane generation amount (step S706). Returning to the upper processing.

Next, an example of the result prediction processing in step S423 will be described with reference to the flowchart in fig. 8.

(Step S801) the result acquisition unit 1335 acquires the agricultural land identifier of the agricultural land to be treated.

The result obtaining unit 1335 obtains the set information including one or two or more pieces of sensor information paired with the agricultural land identifier obtained in step S801 from the agricultural land information storage unit 114 (step S802).

The result acquisition unit 1335 acquires the learning model from the learning model storage unit 113 (step S803).

(Step S804) the result acquisition unit 1335 performs a prediction process of machine learning using the set information acquired in step S802 and the learning model acquired in step S803, and acquires predicted result information. Returning to the upper processing.

In the flowchart of fig. 8, the result acquisition unit 1335 preferably constructs a vector supplied to a module that performs prediction processing for machine learning, and executes the vector and the learning model by supplying the vector to the module, using the acquired set information, to acquire the learning model.

Next, an example of the timing determination process of step S439 will be described with reference to the flowchart of fig. 9.

(Step S901) the timing determination unit 1338 acquires the sensor information of the time series of the sensor of the agricultural land of interest from the agricultural land information storage section 114.

The timing determination unit 1338 obtains the amount of change in the sensor value indicated by the sensor information using the time-series two or more pieces of sensor information (step S902). The amount of change is, for example, a sum of differences between two sensor values adjacent to each other in time information. The change amount obtained here is, for example, a sum of the change amounts of one or two or more kinds of sensor information.

The timing determination unit 1338 obtains the change condition corresponding to the sensor to be subjected from the storage unit 11 (step S903).

The change condition is, for example, a condition for changing the frequency of acquisition of the sensor information, and is a condition based on the change amount acquired in step S902. The change condition is, for example, that the amount of change is equal to or less than a threshold value.

The period determination unit 1338 determines whether the change condition acquired in step S903 is satisfied (step S904). If the change condition is satisfied, the process advances to step S905, and if not, the process returns to the upper-level processing.

The timing determination unit 1338 acquires timing determination information of the sensor of the agricultural land of interest from the agricultural land information storage section 114 (step S905).

The timing determination unit 1338 acquires timing determination information that further reduces the frequency of acquisition of the sensor information with respect to the timing determination information acquired in step S905 (step S906). Returning to the upper processing.

For example, when the time period specification information acquired in step S905 is "12 points" per day, the time period specification unit 1338 acquires the time period specification information "every 1 day, 12 points" in which the acquired frequency is reduced.

Next, an example of the operation of the sensor 2 will be described with reference to the flowchart of fig. 10.

The sensor obtaining unit 22 obtains timing specification information stored in the sensor storage unit 21 (step S1001).

The sensor obtaining unit 22 obtains the current time from a clock (not shown) (step S1002).

The sensor obtaining unit 22 uses the time period specification information and the current time to determine whether or not the current time is the time to obtain the sensor information (step S1003). If the timing to acquire the sensor information is the timing to acquire the sensor information, the process advances to step S1004, and if the timing to acquire the sensor information is not the timing, the process advances to step S1008.

The sensor acquiring unit 22 acquires sensor information (step S1004).

The sensor obtaining unit 22 obtains (step S1005) the agricultural land identifier or the like stored in the sensor storage unit 21. The agricultural land identifier and the like include, for example, an information identifier, a sensor identifier, position information, and time information indicating the current time, in addition to the agricultural land identifier.

The sensor acquiring unit 22 constructs the transmitted information (step S1006). The transmitted information includes, for example, information identifier, sensor identifier, position information, and time information in addition to, for example, sensor information and agricultural land identifier.

(Step S1007) the sensor transmitting section 23 transmits the information constructed in step S1006 to the information processing apparatus 1. Returning to step S1001.

The sensor 2 determines whether or not to accept the information (step S1008). When the information is received, the process proceeds to step S1009, and when the information is not received, the process proceeds to step S1010.

The information here includes, for example, agricultural land identifier, information identifier, sensor identifier, position information, and time period specifying information.

The sensor setting unit 25 stores the information received in step S1008 in the sensor storage unit 21 (step S1009). Returning to step S1001.

The sensor receiving unit 24 determines whether or not information is received from the information processing apparatus 1 (step S1010). If the information is received, the process advances to step S1011, and if the information is not received, the process returns to step S1001.

The information here is, for example, time period determination information.

(Step S1011) the sensor setting unit 25 stores the information received in step S1010 in the sensor storage unit 21. Returning to step S1001.

In the flowchart of fig. 10, the process is terminated by an interruption of the power supply off or the process termination.

A specific operation example of the information system a in the present embodiment will be described below. The conceptual diagram of the information system a is fig. 1. The information processing apparatus 1 constituting the information system a is a server. It is assumed that the sensor 2 of the information system a exists in two or more for each agricultural land. Here, it is assumed that the two or more sensors 2 include a water level sensor for each agricultural land, a temperature sensor for acquiring water temperature, and a camera for capturing an image. The sensor 2 constituting the information system a may have another kind of sensor 2.

Now, it is assumed that the methane generation amount storage unit 111 of the information processing apparatus 1 stores a methane generation amount management table shown in fig. 11. The methane production amount management table is a table for managing the production amount of methane per unit area of the region. The methane generation amount management table manages one or more records having "IDs", "region identifiers", and "methane generation amounts". The "ID" is information identifying the record. The "region identifier" is information for identifying a region. The "methane production amount" is the production amount of methane per unit area.

Further, the learning model storage unit 113 stores therein a learning model acquired by the learning unit 131 using two or more pieces of teacher data stored in the teacher data storage unit 112.

Further, the agricultural land information storage section 114 stores an agricultural land management table shown in fig. 12. The agricultural land management table is a table for managing one or more agricultural land information. The agricultural management table manages one or more records having "ID", "agricultural identifier", "agricultural attribute value", "sensor information". Here, the "agricultural property value" has "positional information" and "area information". Here, the "sensor information" includes "water level related information", "water temperature related information", and "image related information". The "water level related information" includes "water level information", "water level time information" and "water level period determination information". The "water temperature related information" includes "water temperature information", "water temperature time information", and "water temperature time period determination information". The "image-related information" has "image file", "image time information", "image period determination information".

The "ID" is information identifying the record. The "water level related information" is information about the water level sensor. The "water temperature related information" is information about a temperature sensor that obtains a water temperature. The "image-related information" is information about a camera that takes an image.

Here, "water level information" is a water level. Further, the value "WL ₁₀₁"、"WL₁₀₂" of "water level information" and the like are assumed to be specific numerical values. The "water level time information" is information indicating the time at which the water level information was acquired. Here, the value "T _L101""T_L102" or the like of the "water level time information" is assumed to be a specific time. The "water level time specifying information" is information for specifying the time at which the water level information is acquired or the timing at which the water level information is acquired. The water level period determination information "12 points and 24 points per day" indicates that water level information is acquired twice at 12 points and 24 points per day.

Here, the "water temperature information" is a water temperature. Further, the value "WT ₁₀₁"、"WT₁₀₂" or the like of "water temperature information" is assumed to be a specific numerical value. The "water temperature time information" is information indicating the time at which the water temperature information is acquired. Here, the value "T _T101"、"T_T102" or the like of the "water temperature time information" is assumed to be a specific time. The "water temperature time specifying information" is information for specifying the time at which the water temperature information is acquired or the timing at which the water temperature information is acquired. The water temperature time period determination information "each hour" indicates that water temperature information is acquired for each hour (for example, 0, 1,2, … … points each day).

The "image file" is a file name of an image of a photographed agricultural land. It is assumed that an image file corresponding to the file name of the image is stored in the storage unit 11. The "image time information" is information indicating the time at which an image was captured. Here, it is assumed that the value "T _F101"、"T_F102" or the like of the "image time information" is a specific time. The "image period determination information" is information that determines the time at which an image is captured or the timing at which an image is captured. The image period determination information "12 points per day" means that images are taken only once at 12 points per day.

It is assumed that the sensor storage unit 21 of each sensor 2 of each agricultural field stores an agricultural field identifier of each agricultural field, an information identifier of information acquired by the sensor 2, and time identification information. For example, it is assumed that the information identifier is any one of "water level", "water temperature", "image", and the like.

The sensor acquisition unit 22 of each sensor 2 of each agricultural field acquires sensor information when the time period specification information of the sensor storage unit 21 is specified. The time period specifying information is preferably time period specifying information indicating that the frequency of acquiring the sensor information is different depending on the time period. This is because there are times when the agricultural land is changed drastically and times when the agricultural land is not changed or the change of the agricultural land is small depending on the time period or season. Further, the data structure of the time period determination information and the like are not limited.

The sensor acquiring unit 22 acquires time information from a clock not shown. The sensor acquisition unit 22 acquires the agricultural land identifier and the information identifier of the sensor storage unit 21. The sensor acquisition unit 22 constructs information including the acquired sensor information, agricultural land identifier, information identifier, and time information. The sensor transmitting unit 23 transmits the information to the information processing apparatus 1.

Next, the sensor information receiving unit 121 of the information processing apparatus 1 receives sensor information or the like transmitted from each sensor 2 of each agricultural land. Next, the sensor information storage 132 stores the received sensor information and the like in the agricultural management table in association with the received agricultural identifier.

Through the above processing, the agricultural land management table of fig. 12 is constructed. Although not shown, it is assumed that the agricultural land management table stores the watering information in pairs with the respective agricultural land identifiers. For example, assume that watering information "5X liters in the morning" is stored in pairs with the agricultural land identifier "F001". "5X liters in the morning" means that X liters of water are provided to the farm at 5 points in the morning each day.

In this case, the following three specific examples will be described. Specific example 1 is a case where a reduction in carbon dioxide emission in an agricultural land is obtained. Specific example 2 is a case where harvest in agricultural land is predicted. Specific example 3 is a case where the control of watering is changed according to the prediction result of the harvest in the agricultural land.

(Concrete example 1)

It is assumed that the reception unit 12 of the information processing apparatus 1 receives an emission reduction amount acquisition instruction including the agricultural land identifier "F001" from a user terminal not shown.

Next, the water zero period acquisition unit 1331 acquires, from the agricultural land management table (fig. 12), a pair of water level information and water level time information paired with the agricultural land identifier "F001". Further, for example, it is assumed that a pair of water level information and water level time information paired with the agricultural identifier "F001" for 180 days (360 groups) is stored in the agricultural land management table.

Next, water zero period acquisition section 1331 sorts the acquired 360 sets in ascending order using the water level time information as a key. Next, water zero period acquisition section 1331 acquires one or more sets of water level information whose continuous water level information is "0". The water zero period acquisition unit 1331 acquires, for each set, a difference between the water level time information at the first time and the water level time information at the last time, which correspond to one or more sets. Next, water zero period obtaining section 1331 calculates the total of the differences between the two pieces of water level time information for each set, and obtains water zero period information (WZ ₀₀₁). That is, the water zero period information "WZ ₀₀₁" is a total of the differences between the two pieces of water level time information for each set, and is information indicating the water zero period (for example, 56 hours).

Further, emission reduction amount acquisition section 1333 acquires area information "B ₀₀₁" paired with agricultural identifier "F001" from the agricultural land management table.

Further, emission reduction amount acquisition section 1333 acquires position information (x ₁₁,y₁₁) paired with agricultural identifier "F001" from the agricultural land management table.

Next, it is assumed that emission reduction amount acquisition section 1333 acquires region identifier "R002" corresponding to position information (x ₁₁,y₁₁) from map information not shown. Here, the location information (x ₁₁,y₁₁) is a map information (latitude and longitude) of one place of the agricultural land identified by the agricultural land identifier "F001", and a technique of acquiring a region identifier corresponding to the (latitude and longitude) using the map information is a known technique.

Next, emission reduction amount obtaining section 1333 obtains methane production amount "X ₂" paired with region identifier "R002" from the methane production amount management table (fig. 11).

Next, the emission reduction amount obtaining unit 1333 obtains an expression (for example, "emission reduction amount=carbon dioxide amount conversion coefficient (for example," 28 ") ×methane generation amount×area information×water level zero period information") that calculates the emission reduction amount of carbon dioxide from the storage portion 11.

Next, assuming that emission reduction amount obtaining section 1333 substitutes obtained methane generation amount "X ₂", area information "B ₀₀₁", water level zero period information "WZ ₀₀₁" into the obtained operation expression, and executes the operation expression, emission reduction amount of carbon dioxide "RC ₀₀₁" is obtained.

Next, the emission reduction amount output unit 1334 accumulates the emission reduction amount "RC ₀₀₁" in pairs with the agricultural land "F001" in the storage portion 11. In addition, the emission reduction amount output unit 1334 transmits the emission reduction amount "RC ₀₀₁" to a user terminal, not shown, in pair with the agricultural land "F001".

In addition, a user terminal, not shown, receives and outputs emission reduction amount "RC ₀₀₁" in pair with agricultural land "F001".

Further, the information processing section 133 and the like use the emission reduction amount "RC ₀₀₁", and what kind of processing is performed is not limited. For example, the emission reduction amount "RC ₀₀₁" is sent to a server (not shown) of the operator of the J credit card, or points related to the J credit card are calculated. Further, the more emissions reduction, the higher the credit associated with the J credit card. The credit associated with the J credit card is calculated, for example, by an increasing function with the emission reduction as a parameter.

As described above, according to the present embodiment, the emission reduction amount of carbon dioxide can be obtained and used. Further, the use of the emission reduction amount may also include a case where the emission reduction amount is confirmed by a person.

(Specific example 2)

Now, it is assumed that a predetermined proportion (for example, half) of the period from the start of production of a culture (for example, rice) to harvest has passed through an agricultural field (for example, a field) identified by an agricultural field identifier "F001".

The processing unit 13 of the information processing apparatus 1 determines the timing to perform the prediction regarding the harvest of the agricultural land identifier "F001".

Next, the result obtaining unit 1335 predicts the result of harvesting the agricultural land identified by the agricultural land identifier "F001" as follows.

That is, first, the result acquisition unit 1335 acquires two or more pieces of sensor information paired with the agricultural land identifier "F001" from the agricultural land management table (fig. 12). Further, two or more pieces of sensor information are set information. The sensor information acquired here includes, for example, water level information and water temperature information. On the other hand, the sensor information acquired here does not include an image, for example.

Then, result acquisition section 1335 constructs a vector having two or more types of sensor information in the acquired time series as elements.

Next, the result acquisition unit 1335 acquires the learning model from the learning model storage unit 113.

Next, result acquisition section 1335 supplies the acquired vector (may also be referred to as aggregate information) and the acquired learning model to a module that performs prediction processing for machine learning, and executes the module to acquire predicted result information. The result information is, for example, a predicted harvest yield. The result information is for example the quality grade of the harvest predicted.

Next, the result output unit 1336 outputs the obtained prediction result. The output here is, for example, a notification to a cultivator or manager or the like who manages in pairs with the agricultural field "F001". The result output unit 1336 may store the obtained prediction result in the storage unit 11 in pairs with the agricultural land identifier "F001".

As described above, according to the present embodiment, prediction regarding future harvest can be performed using time-series sensor information.

(Specific example 3)

Assume that the watering control section 1337 of the information processing device 1 determines that the prediction result (predicted result information) obtained in specific example 2 satisfies the change condition. Further, assume that the prediction result is, for example, "harvest=y ₀₀₁ & quality class=2". Here, the changing conditions are conditions using both the harvest yield and the quality level, and herein, for example, it is assumed that "harvest yield < =y _x & quality level < =2". Also, assume "Y ₀₀₁Y_x<＝Y_x".

Next, assume that the watering control unit 1337 acquires watering information (for example, "5×liter in the morning") paired with the agricultural land identifier "F001" from the agricultural land information storage section 114. Next, assume that the watering control section 1337 changes the acquired watering information "5X liters in the morning" and acquires new watering information "5Y liters in the morning and 5Y liters in the evening". Further, it is assumed that two or more pieces of watering information ("5×liter in the morning", "5×liter in the morning, and" … … ×liter in the evening ") are stored in the storage unit 11 in order to better realize cultivation, and when the change condition is satisfied, the watering control unit 1337 acquires the watering information of the next cultivation level from the storage unit 11.

In addition, the determination method of the new watering information is not limited.

Next, the watering control unit 1337 transmits new watering information "5 in the morning and 5Y liters in the evening" to an automatic watering machine (not shown) corresponding to the agricultural land identifier "F001".

Next, the automatic watering machine receives new watering information "Y liter at 5 a.m. and stores it in its own storage medium".

Then, the automatic watering machine supplies Y liters of water to the agricultural land at each time of 5 in the morning and 5 in the evening according to the watering information "Y liters at 5 in the morning and 5 in the evening".

As described above, according to the present embodiment, watering can be appropriately controlled using the prediction result of harvest.

As described above, according to the present embodiment, a platform for collecting and utilizing information on agricultural land can be provided.

Further, according to the present embodiment, the water zero period information can be acquired using the sensor information of the agricultural land.

Further, according to the present embodiment, the emission reduction amount of carbon dioxide can be obtained using the water zero period information obtained using the sensor information of the agricultural land.

Further, according to the present embodiment, it is possible to obtain result information for specifying the harvest result in the agricultural land using the time-series sensor information of the agricultural land.

In addition, according to the present embodiment, the control of watering in the agricultural land can be performed using time-series sensor information of the agricultural land.

Further, according to the present embodiment, it is possible to determine an appropriate time for acquiring sensor information. Therefore, the communication load between the sensor 2 and the information processing apparatus 1 can be reduced, and power saving of the sensor 2 can be achieved.

Further, according to the present embodiment, sensor information can be effectively received at an appropriate time. Therefore, the communication load between the sensor 2 and the information processing apparatus 1 can be reduced, and power saving of the sensor 2 can be achieved.

The processing in this embodiment mode can also be implemented by software. Moreover, the software may be distributed by a software download or the like. The software may be stored in a storage medium such as a CD-ROM and transmitted. In addition, the same applies to other embodiments in this specification. The software for implementing the information processing apparatus 1 in the present embodiment is a program as described below. That is, the program is a program for causing a computer to function as: a sensor information receiving unit that receives one or more pieces of sensor information of an agricultural field in association with an agricultural field identifier that identifies the agricultural field; a sensor information storage unit that stores one or more pieces of agricultural information including one or more pieces of sensor information in association with the agricultural identifier and the time information of the specified time, the one or more pieces of sensor information being received by the sensor information reception unit; and an information processing unit that performs sensor information processing as processing using the one or more pieces of sensor information stored in the agricultural land information storage unit.

Fig. 13 shows the appearance of a computer that executes the program described in the present specification and realizes the information processing apparatus 1 and the like according to the various embodiments described above. The above-described embodiments may also be implemented by computer hardware and a computer program executed thereon. Fig. 13 is an overview of the computer system 300, and fig. 14 is a block diagram of the system 300.

In FIG. 13, computer system 300 includes a computer 301 that includes a CD-ROM drive, a keyboard 302, a mouse 303, and a monitor 304.

In FIG. 14, a computer 301 includes, in addition to a CD-ROM drive 3012: MPU3013; a bus 3014 connected to a CD-ROM drive 3012 or the like; a ROM3015 for storing a program such as a start-up program; a RAM3016 connected to the MPU3013 and configured to temporarily store commands of an application program and provide a temporary storage space; and a hard disk 3017 for storing application programs, system programs, and data. Although not shown, the computer 301 may further include a network card for providing connection to a LAN.

A program for causing the computer system 300 to execute the functions of the information processing apparatus 1 and the like according to the above embodiment may be stored in the CD-ROM3101, inserted into the CD-ROM drive 3012, and transferred to the hard disk 3017. Alternatively, the program may be transmitted to the computer 301 via a network not shown, and stored in the hard disk 3017. Loaded into RAM3016 when the program is executed. The program may also be loaded directly from the CD-ROM3101 or from a network.

The program may not include an Operating System (OS) or a third-party program that causes the computer 301 to execute the functions of the information processing apparatus 1 and the like of the above-described embodiment. The program may also contain only a part of a command that invokes an appropriate function (module) in a controlled manner and obtains a desired result. How the computer system 300 operates is well known, and detailed description thereof is omitted.

In the above-described program, the step of transmitting information, the step of receiving information, and the like do not include processing performed by hardware, for example, processing performed by a modem, an interface card, and the like in the transmitting step (processing performed by hardware only).

The computer for executing the program may be a single computer or a plurality of computers. That is, the processing may be performed intensively or may be performed dispersedly.

In the above embodiments, it is needless to say that two or more communication units existing in one device may be physically realized by one medium.

In the above embodiments, each process may be realized by performing centralized processing by a single apparatus, or may be realized by performing decentralized processing by a plurality of apparatuses.

The present invention is not limited to the above embodiments, and various modifications are possible, and these are naturally included in the scope of the present invention.

[ Possibility of industrial use ]

As described above, the information processing apparatus according to the present invention has an effect of providing a platform for collecting and utilizing information on agricultural land, and is useful as an information processing apparatus and the like.

Claims

1. An information processing device is provided with:

A learning model storage unit that stores a learning model in which two or more pieces of teacher data having set information, which is a set of time-series information of one or more pieces of sensor information in an agricultural land, and result information that identifies a harvest result in the agricultural land are learned by a learning process of machine learning;

An agricultural land information storage unit for storing agricultural land collection information as a target of the harvest result prediction; and

An information processing unit that obtains the set information of the agricultural land from the agricultural land information storage unit, performs prediction processing of machine learning using the set information and the learning model, obtains result information of the agricultural land, and outputs the result information,

The one or more sensor information includes water level information acquired by a water level sensor,

The information processing unit includes:

A water zero period acquisition unit configured to acquire two or more pieces of water level information of the agricultural land in a time series, and acquire water zero period information for determining a period in which the water level of the agricultural land is zero, using the two or more pieces of water level information and time information paired with the two or more pieces of water level information; and

And a water zero period output unit configured to output the water zero period information acquired by the water zero period acquisition unit.

2. An information processing device is provided with:

An agricultural land information storage section that stores agricultural land information having aggregate information of an agricultural land that is an object of a predicted harvest result and area information that determines an area of the agricultural land; and

The information processing unit includes:

A water zero period acquisition unit that acquires time-series water level information from the agricultural land information storage unit, and acquires water zero period information that identifies a period in which the water level of the agricultural land is zero, using the water level information and time information paired with each of the water level information;

An emission reduction amount acquisition unit configured to acquire an emission reduction amount of carbon dioxide in the agricultural land using the water zero period information acquired by the water zero period acquisition unit and the area information of the agricultural land; and

And an emission reduction amount output unit that outputs the emission reduction amount of carbon dioxide acquired by the emission reduction amount acquisition unit.

3. The information processing apparatus according to claim 2, wherein,

The agricultural land information has position information determining a position of the agricultural land,

The emission reduction amount acquisition means acquires a methane generation amount corresponding to the positional information of the agricultural land from a methane generation amount storage unit storing the methane generation amount of the region corresponding to the positional information, substitutes the methane generation amount, the area information of the agricultural land, and the water zero period information acquired by the water zero period acquisition means into an operation expression, and calculates the emission reduction amount of carbon dioxide by executing the operation expression.

4. The information processing apparatus according to claim 2, wherein,

The information processing unit further includes a compensation processing unit that obtains and outputs compensation information corresponding to the emission reduction amount transmitted from the emission reduction amount output unit.

5. The information processing apparatus according to claim 4, wherein,

The information processing unit further includes a watering control means for changing the amount of water supplied to the agricultural land or the timing of supplying water using the result information.

6. The information processing apparatus according to claim 1 or 2, wherein,

The information processing unit includes: a time period determination unit that obtains time period determination information for determining a time period for acquiring the sensor information, using the one or more pieces of sensor information; and

And a time period output unit configured to output the time period determination information acquired by the time period determination unit.

7. The information processing apparatus according to claim 1 or 2, further comprising:

a sensor information receiving unit that receives one or more pieces of sensor information on an agricultural land;

A sensor information storage unit configured to store agricultural information including one or more sensor information in association with time information of a predetermined time, the one or more sensor information being received by the sensor information receiving unit,

The frequency at which the one or more pieces of sensor information are received by the sensor information receiving unit varies depending on the time.

8. The information processing apparatus according to claim 2, wherein,

The emission reduction amount acquisition unit acquires the emission reduction amount as a target variable through prediction processing by machine learning using a learning model acquired through learning processing by machine learning using two or more teacher data including an interpretation variable group having area information and water zero period information and emission reduction amount as a target variable.

9. An information processing method implemented by a learning model storage section that stores a learning model in which two or more pieces of teacher data having set information that is a set of time-series information of one or more pieces of sensor information of an agricultural land and result information that determines a harvest result in the agricultural land are learned by a learning process of machine learning, an agricultural land information storage section that stores set information of an agricultural land that is an object of predicting the harvest result, and an information processing section that includes:

An information processing step of acquiring, by the information processing unit, the set information of the agricultural land from the agricultural land information storage unit, performing prediction processing of machine learning using the set information and the learning model, acquiring result information of the agricultural land, and outputting the result information,

The information processing step includes:

A water zero period acquisition sub-step of acquiring two or more pieces of water level information of the time series of the agricultural land, and acquiring water zero period information for determining a period in which the water level of the agricultural land is zero, using the two or more pieces of water level information and the time information paired with the two or more pieces of water level information; and

And a water zero period output sub-step of outputting the water zero period information acquired in the water zero period acquisition sub-step.

10. An information processing method implemented by a learning model storage section that stores a learning model in which two or more pieces of teacher data having set information that is a set of time-series information of one or more pieces of sensor information of an agricultural land and result information that determines a harvest result in the agricultural land are learned by a learning process of machine learning, an agricultural land information storage section that stores set information of an agricultural land that is an object of predicting the harvest result, and an information processing section that includes:

The information processing step includes:

A water zero period acquisition sub-step of acquiring time-series two or more pieces of water level information from the agricultural land information storage unit, and acquiring water zero period information for determining a period in which the water level of the agricultural land is zero, using the two or more pieces of water level information and the time information paired with each of the two or more pieces of water level information;

an emission reduction amount obtaining sub-step of obtaining an emission reduction amount of carbon dioxide in the agricultural land using the water zero period information obtained in the water zero period obtaining sub-step and the area information of the agricultural land; and

An emission reduction amount output sub-step of outputting the emission reduction amount of carbon dioxide acquired in the emission reduction amount acquisition sub-step.

11. A program for enabling a computer having access to a learning model storage section and an agricultural land information storage section to function as an information processing section,

The learning model storage unit stores a learning model in which two or more pieces of teacher data having set information of sets of information that are time series of one or more pieces of sensor information of an agricultural land and result information that determines a harvest result in the agricultural land are learned by a learning process of machine learning, the agricultural land information storage unit stores the set information of the agricultural land that is an object of predicting the harvest result,

The information processing unit obtains the set information of the agricultural land from the agricultural land information storage unit, performs prediction processing of machine learning using the set information and the learning model, obtains result information of the agricultural land, and outputs the result information,

The information processing unit includes:

12. A program for enabling a computer having access to a learning model storage section and an agricultural land information storage section to function as an information processing section,

The information processing unit includes: