JP2023117680A - agricultural management system - Google Patents

Abstract

To provide an agricultural management system configured to manage and control growth of agricultural products and share information on the agricultural products.SOLUTION: An agricultural management system includes an agricultural product sensor device, an agricultural management apparatus, and a farmer terminal. The agricultural product sensor device constructs a learning model for a state of an agricultural product, receives an input of agricultural product detection data detected by the agricultural product sensor device, determines a normal/abnormal state of the agricultural product on the basis of the learning model and the agricultural product detection data, estimates optimal growth information of the agricultural product on the basis of past agricultural product state data used as training data, and transmits the determined normal/abnormal state of the agricultural product and the optimal growth information of the agricultural product to the farmer terminal. The farmer terminal displays the determined normal/abnormal state of the agricultural product and the optimal growth information of the agricultural product.SELECTED DRAWING: Figure 1

Description

The present invention relates to agricultural management systems.

2. Description of the Related Art Conventionally, IoT (Internet of Things) technology has been proposed for making farm work more efficient (see, for example, Patent Document 1).

Japanese Patent Application Laid-Open No. 2021-096726

In the agricultural field, there is only a classification based on the concept of production and consumption, and during production, the properties of the soil and crops are measured using sensors according to different characteristics, and the optimum environmental conditions have been prepared for each. Within the combination of "farming (production)" and "storage, transportation, and sales (consumption)," we have only looked at the value of products based on the standards demanded by end-users.

In addition, as agriculture is a mass of know-how, there is an impression that the agricultural industry population is aging, the working age is decreasing, and heavy labor without vacations, etc., and the barriers such as volunteers cannot be broken down.

Furthermore, in the limited farmland soil, uniform cultivation without diversity has progressed, soil and river pollution due to continuous crop failure, pests, and excessive fertilizer application, nitrate gas and nitrogen due to unabsorbed crops and undigested in rhizomes. It is a source of emissions of greenhouse gases such as oxides and carbon dioxide.

Therefore, it is an object of the present invention to provide an agricultural management system capable of managing and controlling the growth of crops and sharing information about the crops.

An agricultural management system (for example, an agricultural management system 1 described later) according to an aspect of the present disclosure includes a crop sensor device (for example, a crop sensor device 2 described later) that detects the state of crops, and manages information about the crops. An agricultural management device (for example, an agricultural management device 3 to be described later) and a farmer terminal (for example, a farmer terminal to be described later) that can communicate with the agricultural management device and is operated by a farmer who grows or cultivates the crops. 4), wherein the agricultural product sensor device transmits agricultural product detection data obtained by detecting the state of the agricultural product to the agricultural management device, and the agricultural management device receives the agricultural product detection data transmitted from the agricultural product sensor device. is obtained, the determination result of the state of the crop is obtained as a label, and a learning model for the state of the crop is constructed by performing supervised learning using the combination of the crop detection data and the label as teacher data. receiving input of the crop detection data detected by the crop sensor device, determining whether the crop is normal or abnormal based on the learning model and the crop detection data, and using the past crop as the teacher data; estimating optimum growth information of the crops based on the data of the above, transmitting the determination result of normality or abnormality of the state of the crops and the optimum growth information of the crops to the farmer terminal; displays the determination result of normality or abnormality of the state of the crop and the optimum growth information of the crop.

In addition, the agricultural management system can communicate with a harvested product sensor device (for example, a harvested product sensor device 5 described later) that detects the state of the harvested product, which is the state after the crops have been harvested, and the agricultural management device. and a business operator terminal (for example, a business operator terminal 6 described later) operated by a business operator who conducts a business related to the harvest, and the harvest sensor device detects the state of the harvest. to the agricultural management device, the agricultural management device acquires the harvest detection data transmitted from the harvest sensor device, and an identification number for identifying the type of the crop; The state of the crops and the state of the harvested crops are associated and stored, and when the input of the identification number of the crops is received from the operator terminal, the state of the crops associated with the identification number of the crops. and the state of the harvest to the operator terminal, and the operator terminal centrally displays the state of the crop and the state of the harvest associated with the identification number of the crop.

In addition, the crop sensor device and the crop sensor device include at least a sensor using nanodiamonds.

Also, the agricultural management device can be accessed by non-farmers through the farmer's terminal and the business operator's terminal.

Further, the crop sensor device includes a soil sensor using a nanodiamond electrode.

Moreover, the harvested product sensor device is attached to a package for packaging the harvested product, and includes a sensor using a nanodiamond electrode.

ADVANTAGE OF THE INVENTION According to this invention, the agricultural management system which can manage and control the growth of agricultural products, and can share the information regarding agricultural products can be provided.

It is a figure which shows an example of a structure of the agricultural management system which concerns on this embodiment. It is a figure which shows an example of a structure of an agricultural product sensor apparatus. It is a figure which shows an example of a structure of a harvest sensor apparatus. It is a figure which shows an example of a structure of an agricultural management apparatus. It is a figure which shows an example of a structure of a farmer's terminal. It is a figure which shows an example of a structure of a provider terminal. It is a flow chart which shows a flow of construction processing of a learning model by an agricultural management device concerning this embodiment. It is a flow chart which shows a flow of processing by an agricultural management device concerning this embodiment, and a farmer's terminal. It is a flow chart which shows a flow of processing by an agricultural management device concerning this embodiment, and a business operator terminal.

An embodiment of an agricultural management system of the present invention will be described below with reference to the drawings.
Drawing 1 is a figure showing an example of composition of agricultural management system 1 concerning this embodiment. As shown in FIG. 1 , the agricultural management system 1 includes a crop sensor device 2 , an agricultural management device 3 , a farmer terminal 4 , a crop sensor device 5 and a business operator terminal 6 .

The crop sensor device 2 is configured to be able to communicate with the agricultural management device 3 and detects the state of crops. The agricultural management device 3 is configured to be able to communicate with the crop sensor device 2, the farmer terminal 4, the crop sensor device 5, and the operator terminal 6, and manages information on crops.

The agricultural management device 3 stores detection data detected by the crop sensor device 2 and the crop sensor device 5, as will be described later. The agricultural management device 3 has a function of machine-learning a large number of stored detection data to construct a learning model, a function of estimating optimum growth information of agricultural products from a large number of stored detection data, and the like.

The farmer terminal 4 can communicate with the agricultural management device 3 and is operated by a farmer who grows or cultivates crops. The harvested product sensor device 5 detects the state of the harvested product, which is the state after the crops have been harvested. The business operator terminal 6 can communicate with the agricultural management device 3 and is operated by a business operator who conducts a business related to harvested products.

Also, the farmer terminal 4 and the business operator terminal 6 can be accessed by anyone other than farmers, that is, by anyone engaged in agriculture. As a result, the agricultural management system 1 allows anyone interested in the agricultural industry to engage in agriculture as a volunteer farmer even if they do not own the farmland, thereby making agriculture a more diversified industry.

FIG. 2A is a diagram showing an example of the configuration of the crop sensor device 2. As shown in FIG. The crop sensor device 2 may be, for example, a soil sensor placed in the soil of a field where crops are grown. The crop sensor device 2 includes a nanodiamond sensor 21 , a control section 22 and a communication section 23 .

The nanodiamond sensor 21 has, for example, electrodes in which nanodiamonds are supported on a cellulose nanofiber carrier, and by measuring the voltage/current that affects the nitrogen content between the electrodes, the nitrogen content in the soil in real time. Quantity can be measured. As a result, the nanodiamond sensor 21 can produce an electrode using a member that takes soil affinity into consideration by using carbon-derived nanodiamonds and plant-derived cellulose nanofibers. Furthermore, since the electrodes of the nanodiamond sensor 21 generate current and voltage at specific values due to the available nitrogen around the electrodes, the nitrogen content (in-situ , total amount, etc.) can be accurately measured in real time. It should be noted that the crop sensor device 2 may use a sensor unit that detects the above-described data using another method instead of the nanodiamond sensor 21 .

The control unit 22 is composed of, for example, a microcomputer or the like, performs predetermined processing and calculation on the current/voltage detected by the nanodiamond sensor 21 (or the detection unit 21), and communicates the detected crop detection data. It transmits to the agricultural management apparatus 3 by the part 23. FIG.
The communication unit 23 is a communication interface for communicating with external devices via a network.

In addition, instead of the nanodiamond sensor 21, the crop sensor device 2 includes a soil sensor that detects electrical conductivity, temperature and moisture content data of the soil, a sugar content sensor that detects the sugar content of the crop, NH ₃ , CH ₄ , It may be a conventional sensor, such as a gas sensor that detects _CO2 , _O2 gas, or the like. Furthermore, the crop sensor device 2 may have an environment sensor that detects the temperature, humidity, _CO2 concentration, amount of solar radiation, wind direction, wind speed, rainfall, water level, volumetric moisture content, etc. of a field where crops are grown. In addition, the crop sensor device 2 may acquire fertilizer information, harvest time information, and the like.

The crop sensor device 2 includes a plurality of sensors combining conventional sensors such as a soil sensor, a sugar content sensor, a gas sensor, an environmental sensor, etc., and a nanodiamond sensor 21 in order to obtain detection data more diversely and with higher accuracy. Preferably, the sensor device has The crop sensor device 2 detects, for example, the pH of water contained in the soil, the temperature, the amount of photosynthesis (temperature, irradiation amount, etc.) based on environmental data from other sensors on the ground, etc., and the nitrogen content detected by the nanodiamond sensor 21. By combining with the amount, the growth and marketability (sugar content) of agricultural products can be diagnosed from the soil.

FIG. 2B is a diagram showing an example of the configuration of the harvest sensor device 5. As shown in FIG. The harvest sensor device 5 includes a nanodiamond sensor 51 , a control section 52 and a communication section 53 . Since the crop sensor device 5 has the same configuration as the crop sensor device 2 described above, the description of each configuration is omitted. In addition, the harvest sensor device 5 may use, for example, a near-infrared sensor as the sensor unit 51 instead of the nanodiamond sensor 51, or may combine the nanodiamond sensor 51 and the near-infrared sensor.

The harvest sensor device 5 is attached to, for example, a package for packaging the harvest, and detects gases (for example, NH ₃ , CH ₄ , CO ₂ and O ₂ gases) released when the harvest matures. do. As a result, the harvested product sensor device 5 and the agricultural management device 3 can track and manage the harvested product until it reaches the consumer. Moreover, the package for packaging the harvested product is made of cellulose nanofiber or the like. This makes it possible to ensure long-term storage of the harvested product packed in the package.

FIG. 3 is a diagram showing an example of the configuration of the agricultural management device 3. As shown in FIG. As shown in FIG. 3 , the agricultural management device 3 includes a control section 31 , a storage section 32 and a communication section 33 .

The control unit 31 is implemented, for example, by a hardware processor such as a CPU (Central Processing Unit) executing a program (software). Some or all of these components are hardware such as LSI (Large Scale Integration), ASIC (Application Specific Integrated Circuit), FPGA (Field-Programmable Gate Array), GPU (Graphics Processing Unit), etc. circuit part; circuit), or by cooperation of software and hardware.

The program may be stored in advance in a storage device (a storage device with a non-transitory storage medium) such as a HDD (Hard Disk Drive) or flash memory, or may be stored in a removable storage such as a DVD or CD-ROM. It may be stored in a medium (non-transitory storage medium) and installed when the storage medium is loaded into the drive device.

However, since the control unit 31 has a large amount of computation associated with machine learning, as will be described later, for example, GPU (Graphics Processing Units) is installed in a personal computer, and a technology called GPGPU (General-Purpose computing on Graphics Processing Units) is used. High-speed processing may be enabled by configuring the GPU to be used for arithmetic processing associated with machine learning.

Furthermore, in order to perform faster processing, the agricultural management apparatus 3 constructs a computer cluster using a plurality of computers equipped with such GPUs, and parallel processing is performed by a plurality of computers included in this computer cluster. may be performed.

The storage unit 32 is, for example, a storage device having a non-transitory storage medium such as a HDD (Hard Disk Drive), a flash memory, an EEPROM (Electrically Erasable Programmable Read Only Memory), a ROM (Read Only Memory), or a RAM ( Random Access Memory) or the like.

The communication unit 33 is a communication interface for communicating with an external device such as the crop sensor device 2 via a network.
The input unit 34 is an input interface such as a mouse, keyboard, or the like.
The display unit 35 is a device that displays an image. The display unit 35 is, for example, an LCD (Liquid Crystal Display), an organic EL (Electroluminescence), or the like.

Next, processing of the control unit 31 of the agricultural management device 3 will be described.
The control unit 31 acquires crop detection data transmitted from the crop sensor device 2 and stores it in the detection data storage unit 321 . Here, the crop detection data are various detection data detected by the crop sensor device 2 described above.

Next, the control unit 31 acquires the determination result of the state of the crop as a label. Specifically, the control unit 31 receives a label input operation through the input unit 34 and acquires the label accordingly. Here, a label is a correct output that should correspond to an input in machine learning. Labels are, for example, two-level degrees indicating whether the crops are in good condition or not. For example, the control unit 31 assigns "1" to the information indicating that the crops are in good condition and "0" to the information indicating that the crops are not in good condition as labels.

Next, the control unit 31 constructs a learning model for the state of crops by performing supervised learning using pairs of crop detection data and labels as teacher data.

Then, the control unit 31 stores the constructed learning model in the learning model storage unit 322 . Note that it is desirable to prepare a large number of teacher data for machine learning in order to improve the accuracy of machine learning.

The control unit 31 performs supervised learning by, for example, regression analysis, neural network, least squares method, stepwise method, or the like. Supervised learning may be performed by online learning, batch learning, or mini-batch learning. Online learning is a learning method in which feature quantities are extracted from speech data, and supervised learning is performed immediately each time a label is input and teacher data is created.

In addition, batch learning is the process of extracting features from data, inputting labels, and creating training data. This is a learning method of performing supervised learning using teacher data. Furthermore, mini-batch learning is an intermediate learning method between online learning and batch learning, in which supervised learning is performed each time a certain amount of teacher data is accumulated.

Next, the control unit 31 receives input of crop detection data detected by the crop sensor device 2 . Upon receiving the input of crop detection data, the control unit 31 determines whether the state of the crop is normal or abnormal based on the received crop detection data and the learning model stored in the learning model storage unit 322 .

Further, the control unit 31 estimates the optimum growth information of the crops based on the data of past crop conditions stored in the detection data storage unit 321 and used as teacher data. Here, the growth information of agricultural crops is, for example, information about the growth of agricultural crops, such as the amount and type of fertilizer, the timing of applying fertilizer, the degree of growth, the moisture content of soil, temperature and electrical conductivity, the timing of harvesting, and the like. including. Then, the control unit 31 transmits the determination result of normality or abnormality of the state of the crops and the optimal growth information of the crops to the farmer terminal 4 through the communication unit 33 .

Furthermore, the control unit 31 acquires harvest detection data transmitted from the harvest sensor device 5 . Here, the harvested product detection data are various detection data detected by the harvested product sensor device 5 described above. The control unit 31 associates an identification number that identifies the type of crop, the state of the crop (crop detection data), and the state of the crop (crop detection data) and stores them in the detection data storage unit 321 . The identification number for identifying the type of crop is, for example, an identification number for identifying and specifying the classification, variety, etc. of the crop.

Then, upon receiving the input of the crop identification number from the business operator terminal 6, the control unit 31 reads out the state of the crop and the state of the harvest associated with the identification number of the farm product from the detection data storage unit 321, and Send to terminal 6.

FIG. 4A is a diagram showing an example of the configuration of the farmer terminal 4. As shown in FIG. As shown in FIG. 4A , the farmer terminal 4 includes a control section 41 , a storage section 42 , a communication section 43 , a display section 44 and an operation section 45 .

The control unit 41 is implemented, for example, by a hardware processor such as a CPU executing a program (software). Some or all of these components may be implemented by hardware (including circuit units) such as LSI, ASIC, FPGA, GPU, etc., or may be implemented by cooperation of software and hardware. . The program may be stored in advance in a storage device such as an HDD or flash memory (a storage device with a non-transitory storage medium), or may be stored in a removable storage medium such as a DVD or CD-ROM (non-transitory storage medium). physical storage medium), and may be installed by mounting the storage medium in a drive device.

The storage unit 42 is implemented by, for example, a storage device having a non-transitory storage medium such as an HDD, flash memory, EEPROM, or ROM, or a RAM or the like.

The communication unit 43 is a communication interface for communicating with external devices such as the agricultural management apparatus 3 via a network.
The display unit 44 is a device that displays an image. The display unit 44 is, for example, an LCD, an organic EL, or the like.

The operation unit 45 is composed of buttons and the like for operating the display unit 44 . Also, the display unit 44 and the operation unit 45 may be a touch panel in which these functions are integrally configured. In this case, the operation unit 45 may be GUI switches displayed on the display unit 44 . Also, the operation unit 45 may be a mechanical button.

FIG. 4B is a diagram showing an example of the configuration of the operator terminal 6. As shown in FIG. As shown in FIG. 4B , the operator terminal 6 includes a control section 61 , a storage section 62 , a communication section 63 , a display section 64 and an operation section 65 . Since the operator terminal 6 has the same configuration as the farmer terminal 4 described above, the description of each configuration is omitted.

FIG. 5 is a flowchart showing the flow of learning model building processing by the agricultural management device 3 according to the present embodiment.

In step S<b>1 , the control unit 31 of the agricultural management device 3 acquires crop detection data transmitted from the crop sensor device 2 and stores it in the detection data storage unit 321 .
In step S2, the control unit 31 acquires the determination result of the state of the crop as a label.

In step S3, the control unit 31 sets the combination of the crop detection data acquired in step S1 and the label acquired in step S2 as teacher data.
In step S4, the control unit 31 constructs a learning model for the state of crops by performing supervised learning using pairs of crop detection data and labels as teacher data.

In step S5, the control unit 31 determines whether or not to end the supervised learning. Here, conditions for ending supervised learning can be arbitrarily determined. For example, the control unit 31 may end supervised learning when the value of the error between the output of the neural network and the label is equal to or less than a predetermined value. Further, the control unit 31 may terminate the supervised learning when the supervised learning is repeated a predetermined number of times. If supervised learning is to end (YES), the process proceeds to step S6. On the other hand, if the supervised learning is not to end (NO), the process returns to step S1.

In step S<b>6 , the control unit 31 stores the constructed learning model in the learning model storage unit 322 .

FIG. 6 is a flow chart showing the flow of processing by the agricultural management device 3 and the farmer terminal 4 according to this embodiment.

In step S<b>11 , the control unit 31 receives input of crop detection data detected by the crop sensor device 2 .
In step S<b>12 , upon receiving the input of crop detection data, the control unit 31 determines whether the state of the crop is normal or abnormal based on the received crop detection data and the learning model stored in the learning model storage unit 322 .

In step S<b>13 , the control unit 31 estimates the optimum growth information of the crop based on the data of the past state of the crop, which is stored in the detection data storage unit 321 and used as teacher data.

In step S<b>14 , the control unit 31 transmits the result of determining whether the state of the crops is normal or abnormal and the optimal growth information of the crops to the farmer terminal 4 via the communication unit 33 .
In step S15, the farmer's terminal 4 displays the determination result of whether the state of the crop is normal or abnormal, and the optimum growth information of the crop.

FIG. 7 is a flow chart showing the flow of processing by the agricultural management device 3 and the business operator terminal 6 according to this embodiment.

In step S<b>21 , the control unit 31 acquires harvest detection data transmitted from the harvest sensor device 5 .

In step S22, the control unit 31 associates an identification number that identifies the type of crop, the state of the crop (crop detection data), and the state of the crop (crop detection data), and stores it in the detection data storage unit 321. Remember.

In step S<b>23 , the control unit 31 receives the input of the identification number of the agricultural product from the business operator terminal 6 .
In step S<b>24 , the control unit 31 reads out from the detection data storage unit 321 the state of the crops and the state of the harvest associated with the received identification number of the crops, and transmits them to the operator terminal 6 via the communication unit 33 .

In step S25, the operator terminal 6 centrally displays the state of the crop and the state of the harvest associated with the identification number of the crop. Specifically, the operator terminal 6 collectively displays the state of the crops and the state of the harvest on one screen of the display unit 64 . This makes it easier for business operators to grasp the state of crops and the state of harvested products.

As described above, the agricultural management system 1 according to the present embodiment can communicate with the crop sensor device 2 that detects the state of crops, the agricultural management device 3 that manages information about the crops, and the agricultural management device 3. , and a farmer terminal 4 operated by a farmer who grows or cultivates crops. 3 acquires the crop detection data transmitted from the crop sensor device 2, acquires the determination result of the state of the crop as a label, and performs supervised learning using the combination of the crop detection data and the label as teacher data. , building a learning model about the state of crops, accepting input of crop detection data detected by the crop sensor device 2, determining whether the state of crops is normal or abnormal from the learning model and the crop detection data, and using it as teacher data. Estimates optimal growth information for agricultural products based on past data on the state of agricultural products, transmits the results of determining whether the state of agricultural products is normal or abnormal, and the optimal growth information for agricultural products to a farmer terminal, 4 displays the determination result of the normal or abnormal condition of the crops and the optimum growth information of the crops.

With such a configuration, the agricultural management system 1 can manage the state of crops by the crop sensor device 2 and share information about the crops with farmers by the farmer terminal 4 . As a result, the agricultural management system 1 can, for example, grow crops with chemical fertilizers that are minimized as much as possible, and can suppress the generation of greenhouse gases due to fertilization that plants cannot or cannot absorb. Furthermore, the agricultural management system 1, for example, by growing crops that match the soil (existing species), breaks away from dependence on seed and seedling manufacturers, and by soil diagnosis and environmental management, while maintaining natural diversity, continuous cropping failures, etc. can contribute to the suppression of

In addition, the agricultural management system 1 can communicate with the harvested product sensor device 5 that detects the state of the harvested product, which is the state after the crops have been harvested, and the agricultural management device 3, and performs a business related to the harvested product. and a business operator terminal 6 operated by the business operator, the harvest sensor device 5 transmitting harvest detection data indicating the state of the harvest to the agricultural management device 3, and the agricultural management device 3 Harvested product detection data transmitted from the sensor device 5 is acquired, the identification number for identifying the type of agricultural product, the state of the agricultural product, and the state of the harvested product are stored in association with each other, and the agricultural product is identified from the operator terminal 6. When the input of the number is accepted, the status of the crops associated with the identification number of the crops and the status of the harvested crops are transmitted to the operator terminal 6, and the operator terminal 6 receives the crops associated with the identification number of the crops. The state and the state of the harvest are displayed centrally.

With such a configuration, the agricultural management system 1 tracks and manages the state of harvested crops from the growth stage to the storage, transportation, and sales stages until the harvested crops are delivered to consumers, and ensures the safety of the harvested crops. can do.

In addition, the crop sensor device 2 and the crop sensor device 5 are provided with sensors using at least nanodiamonds. Thereby, the agricultural management system 1 can acquire desired detection data with high precision.

The crop sensor device 2 also includes a soil sensor using a nanodiamond electrode. Thereby, the agricultural management system 1 can more accurately measure the nitrogen compounds in the soil in real time by using the nanodiamond electrodes with high soil affinity. Furthermore, the agricultural management system 1 can prevent over-fertilization when applying nitrogen fertilizer as basal fertilizer and top-up fertilizer based on the measured value of the soil sensor, and can supply optimum glycoproteins (such as amino acids) for the growth of crops. Become.

The harvested product sensor device 5 is attached to a package for packaging the harvested product, and includes a sensor using a nanodiamond electrode. As a result, the agricultural management system 1 can track and manage the state of harvested products in the storage, transportation, and sales stages.

Also, the agricultural management device 3 can be accessed by non-farmers through the farmer's terminal 4 and the business operator's terminal 6 . As a result, the agricultural management system 1 allows anyone interested in the agricultural industry to engage in agriculture as a volunteer farmer even if they do not own the farmland, thereby making agriculture a more diversified industry.

As mentioned above, although one Embodiment of this invention was described, this invention is not limited to this. Detailed configurations may be changed as appropriate within the scope of the present invention.

1 agricultural management system 2 crop sensor device 3 agricultural management device 4 farmer terminal 5 crop sensor device 6 business operator terminal 21 nanodiamond sensor 22 control unit 23 communication unit 31 control unit 32 storage unit 33 communication unit 34 input unit 35 display unit 321 detection data storage unit 322 learning model storage unit

Claims (6)

a crop sensor device that detects the state of crops;
an agricultural management device that manages information about the agricultural products;
An agricultural management system comprising a farmer terminal capable of communicating with the agricultural management device and operated by a farmer who grows or cultivates the crops,
The crop sensor device is
transmitting crop detection data obtained by detecting the state of the crop to the agricultural management device;
The agricultural management device is
Acquiring the agricultural product detection data transmitted from the agricultural product sensor device,
Acquiring the determination result of the state of the crop as a label,
constructing a learning model for the state of the crop by performing supervised learning using a combination of the crop detection data and the label as teacher data;
Receiving input of the agricultural product detection data detected by the agricultural product sensor device,
determining whether the state of the crop is normal or abnormal from the learning model and the crop detection data;
estimating optimal growth information of the crop based on the data of the state of the crop in the past used as the training data;
Transmitting the result of determining whether the state of the crops is normal or abnormal and the optimum growth information of the crops to the farmer terminal;
The farmer terminal is
displaying the result of determining whether the state of the crop is normal or abnormal, and the optimal growth information of the crop;
Agricultural management system. The agricultural management system includes a crop sensor device that detects the state of the crop, which is the state after the crop is harvested;
a business operator terminal that can communicate with the agricultural management device and is operated by a business operator that conducts business related to the harvest;
further comprising
The harvest sensor device includes:
transmitting harvest detection data indicating the state of the harvest to the agricultural management device;
The agricultural management device is
Acquiring the harvested product detection data transmitted from the harvested product sensor device,
storing an identification number identifying the type of crop, the state of the crop, and the state of the harvest in association with each other;
receiving the input of the identification number of the agricultural product from the business operator terminal, transmitting the state of the agricultural product and the state of the harvested product associated with the identification number of the agricultural product to the business operator terminal;
The operator terminal is
centrally displaying the state of the crop and the state of the harvest associated with the identification number of the crop;
The agricultural management system according to claim 1. 3. Agricultural management system according to claim 2, wherein said crop sensor device and said crop sensor device comprise at least a sensor using nanodiamonds. 3. The agricultural management system according to claim 2, wherein said agricultural management device is accessible by non-farmers through said farmer's terminal and said business operator's terminal. 5. The agricultural management system according to any one of claims 1 to 4, wherein said crop sensor device comprises a soil sensor using nanodiamond electrodes. 4. The agricultural management system according to claim 2 or 3, wherein said harvested product sensor device is attached to a package for packaging said harvested product, and includes a sensor using a nanodiamond electrode.

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