JP6938356B2 - Agricultural support system and agricultural support equipment - Google Patents

Description

The present invention relates to an agricultural support system and an agricultural support device.

Conventionally, Patent Document 1 is known as a technique for creating field map data by plotting various information on a field map or the like.
The field management system of Patent Document 1 records a map data recording unit having a field map layer for recording field map data, and field work data generated for each work performed on the field by various farm work machines. It is equipped with a field work data recording unit having a field work layer for each model.

JP-A-2017-68533

By the way, in recent years, as shown in Patent Document 1, an attempt to provide agricultural support using a plurality of field map data related to agriculture has been promoted. However, even if a plurality of field map data exist, the actual situation is that the utilization of the plurality of field map data has not been sufficiently promoted.
Therefore, in view of the above problems, it is an object of the present invention to provide an agricultural support system and an agricultural support device capable of easily providing agricultural support by utilizing a plurality of agricultural map data.

The technical means of the present invention for solving this technical problem is characterized by the following points.
The agricultural support system is an agricultural map data related to agriculture, and is a data acquisition unit that acquires a plurality of agricultural map data including a plurality of data in a plurality of areas when the field where the agriculture is performed is divided into a plurality of areas. among the plurality of agricultural map data acquired by the data acquisition unit, and a data selector for receiving a selection of at least two agricultural map data, of the two agricultural map data received by said data selecting unit, one of the agricultural map A correlation calculation unit that calculates a correlation coefficient between a plurality of data included in a predetermined area of data and a plurality of data that are other agricultural map data and are included in the same area as the predetermined area, and the correlation calculation unit. It is provided with a display unit for displaying the correlation coefficient corresponding to the predetermined area obtained in 1.

The display unit displays a plurality of agricultural maps that visualize a plurality of agricultural map data, and the data selection unit accepts an agricultural map selected from the plurality of agricultural maps displayed on the display unit.
The display unit includes a storage unit that stores the correlation coefficient and each type of the two agricultural map data used for calculating the correlation coefficient in association with each other, and the display unit stores the correlation stored in the storage unit. Show the coefficients and type of the two agricultural map data used in the calculation of the correlation coefficient.

The correlation calculation unit calculates the correlation coefficient between all the plurality of data of one agricultural map data and all the plurality of data of the other agricultural map data, and the display unit calculates all the plurality of data. When the correlation coefficient obtained from is greater than or equal to the threshold value, the combination of agricultural map data types is displayed.
The correlation calculation unit obtains a plurality of correlations for each of the plurality of common areas in the one agricultural map data and the other agricultural map data, and determines each of the obtained plurality of correlation coefficients. By setting the correlation coefficient of the area, a correlation map in which the correlation coefficient is associated with a plurality of predetermined areas is created, and the display unit displays the correlation map created by the correlation calculation unit.

The correlation calculation unit creates a correlation map that visualizes the correlation, and the display unit displays the correlation map created by the correlation calculation unit.
The correlation calculation unit creates new agricultural map data by setting the correlation data indicated by the correlation map in the agricultural map data.
The agricultural support device includes a data acquisition unit that acquires a plurality of agricultural map data related to agriculture, and a data selection unit that accepts selection of a plurality of arbitrary agricultural map data among the plurality of agricultural map data acquired by the data acquisition unit. A correlation calculation unit that calculates the correlation of the plurality of arbitrary agricultural map data received by the data selection unit, and a display control unit that displays the correlation obtained by the correlation calculation unit are provided.

According to the present invention, agricultural support can be easily provided by utilizing a plurality of agricultural map data. For example, it is possible to select an arbitrary plurality of agricultural map data from a plurality of agricultural map data and grasp whether the correlation between the selected arbitrary plurality of agricultural map data is high or low.

It is a schematic diagram of an agricultural support system. It is a block diagram of an agricultural support system. It is a figure which shows the list of the data detected by the machine such as a tractor, a combine, a rice transplanter, and a multicopter. It is a figure which shows the agricultural map data. It is a figure which shows the relationship with management information, basic information, and data. It is a figure which shows an example of the support screen M1. It is a figure which shows the relationship between the management information and the whole correlation coefficient CT. It is a figure which shows the relationship between the basic information and the whole correlation coefficient CT. It is a figure which shows an example of the support screen M2. An example of a screen displaying the selection map F2 and the correlation coefficient CT is shown. It is a figure which shows the flow from the acquisition of a plurality of agricultural map data to the display of a correlation map.

Hereinafter, embodiments of the present invention will be described with reference to the drawings.
The agricultural support system is a system that supports agriculture, and provides support such as displaying various data related to agriculture, for example.
As shown in FIGS. 1 and 2, the agricultural support system includes an agricultural support device 1. The agricultural support device 1 is, for example, a fixed computer installed in a farmer, a farming company, an agricultural machine maker, an agricultural service, or the like, and a portable computer that can be carried by a manager, a worker, or the like. In this embodiment, the agricultural support device 1 is a fixed computer, for example, a server.

The agricultural support device 1 can acquire various data (information), and for example, acquires agricultural map data as data. Agricultural map data is data in which agricultural data and location are associated. Agricultural data includes crop data, soil data, meteorological data (environmental data), machine data, work data, and the like.
Crop data is data on crops such as grains (cereals), vegetables, fruits, legumes, and potatoes, and includes data showing the yield of the crop (yield data), data showing the chemical composition of the crop (component data), and crop. It is data (growth data) which shows the growth of. The soil data is data on the soil in a place such as a field where crops are cultivated, and includes data indicating the chemical composition of the soil (soil composition data), data indicating the hardness of the soil (soil hardness data), and the like.

Meteorological data is data such as wind direction, wind speed, temperature, humidity, sunny, cloudy, rain, thundersnow, snow, rainfall, snowfall, probability of precipitation, and pressure. Machine data is various data related to agricultural machines, for example, agricultural vehicles such as tractors, rice transplanters, transplanters, harvesters such as combines, fertilizers, chemical sprayers, molding machines, mowing machines, and preparations. It is operation data of maneuvering, running, etc. in a machine, a cultivator, etc.

The work data is data related to the work performed on the field by the agricultural machine, and is the amount of transplantation, the amount of fertilizer applied, the amount of chemicals sprayed, the amount of sowing, and the like.
That is, the agricultural map data includes crop data (yield data, component data, growth data), soil data (soil component data), meteorological data (wind direction, wind velocity, temperature, humidity, sunny, cloudy, rain, thunder, snow, and rainfall. Amount, snowfall, precipitation probability, pressure, etc.), machine data (agricultural vehicle, rice planting machine, transplanter, combine harvester, fertilizer applicator, chemical sprayer, seeder, molding machine, weeder, diffuser, Data related to agriculture such as mowing machine, preparation machine, etc.) and work data (transplant amount, fertilizer application amount, chemical spraying amount, sowing amount), and the data associated with the position. Such agricultural map data can be detected by various machines.

Next, the acquisition of agricultural map data will be described using tractors, combines, rice transplanters, and multicopter machines as examples.
As shown in FIG. 1, the tractor 10 includes a vehicle body 11, a prime mover 12, and a transmission 13. The vehicle body 11 supports a wheel-type or crawler-type traveling device. The vehicle body 11 can travel by a traveling device. The prime mover 12 is an internal combustion engine such as a diesel engine or a gasoline engine, an electric motor, or the like. The transmission 13 can shift the traveling device and can switch the vehicle body 11 forward and backward. The vehicle body 11 is provided with a driver's seat 14, and the driver's seat 14 is provided with a control device 15. A connecting portion 16 composed of a three-point link mechanism or the like is provided at the rear portion of the vehicle body 11. An implant (attachment) 17 can be attached to and detached from the connecting portion 16. By connecting the implant 17 to the connecting portion 16, the vehicle body 11 can pull the implant 17. The implant 17 is a cultivator for tilling, a fertilizer applicator for spraying fertilizer, a chemical spraying machine for spraying chemicals, a sowing machine for sowing seeds, a harvesting machine for harvesting, and the like.

As shown in FIG. 2, the vehicle body 11 is provided with a position detecting device 70A. The position detection device 70A is a device that detects its own position (latitude, longitude) based on the data (positioning satellite system) of positioning satellites such as GPS and Michibiki. The position detection device 70A may have an inertial device such as an acceleration sensor that detects acceleration and a gyro sensor that detects angular velocity, and corrects the position using the acceleration and angular velocity detected by the inertial device. Alternatively, the position may be corrected by other correction signals or the like, and the position is not limited.

The tractor 10 includes a control device 19 and a storage unit 20A. The control device 19 is based on an operation signal when operating an operation tool (operation lever, operation switch, operation volume, etc.) installed around the driver's seat 14, detection signals of various sensors mounted on the vehicle body 11, and the like. It controls the traveling system and working system of the tractor 1. For example, the control device 19 controls the connecting portion 16 to move up and down based on the operation signal of the operating tool, and controls the rotation speed of the diesel engine based on the accelerator pedal sensor. The control device 19 may be any one that controls the working system and the traveling system of the tractor 1, and the control method is not limited.

Further, in the tractor 10, the storage unit 20A is a non-volatile memory or the like, and stores various information. The storage unit 20A is connected to the control device 19, the instrument 17, and the like, and stores machine data, work data, and yield data when the work is performed by the tractor 10.
As shown in FIG. 3, in the storage unit 20A, when the implant 17 attached to the tractor 10 is a tiller, the number of rotations of the tilling claw, in the case of a fertilizer applicator, the number of rotations of a disc or the like for sprinkling fertilizer, and a chemical sprayer. In the case of, the discharge amount of the pump that discharges the chemicals, the discharge pressure, in the case of the seeder, the number of rotations of the feeding part such as the roller that feeds the seeds, in the case of the harvester and the mowing machine, the number of rotations of the cutting part such as the cutting edge, etc. Is stored as machine data. Further, the storage unit 20A can be used for the PTO rotation speed of the tractor 10, vehicle speed, fuel consumption (fuel consumption), operation amount of the operating tool, tillage depth (depth), transmission speed of the transmission 13, the rotation speed of the prime mover 12, and the like. Store operation data as machine data. Further, when the implant 17 is a fertilizer applicator, the fertilizer application amount is stored, when it is a chemical sprayer, the chemical spraying amount is stored, and when it is a seeder, the seeding amount is stored as work data. When the implant 17 is a harvester, the storage unit 20A stores the yield amount (yield data) harvested by the harvester.

Further, the storage unit 20A is used for machine data (rotation speed of tillage claw, rotation speed of disk, discharge amount of pump, discharge pressure, rotation speed of feeding portion, rotation speed of cutting unit, PTO rotation speed, vehicle speed, operating tool. When storing the operation amount, shift stage, engine speed, etc.), work data (fertilizer application amount, chemical spray amount, seeding amount), and crop data (yield amount), the position detected by the position detection device 70A ( The detection position) is associated and stored. The storage unit 20A may store the corrected position (corrected position) detected by the position detecting device 70A in association with each of the machine data, the work data, and the crop data.

Therefore, by performing the work with the tractor 10, it is possible to acquire a plurality of agricultural map data in which the operation data and the position of each of the tractor, the harvester, the fertilizer applicator, the chemical sprayer, and the sowing machine are associated with each other. In addition, by performing the work with the tractor 10, it is possible to acquire a plurality of agricultural map data in which the fertilizer application amount, the chemical application amount, the sowing amount, and the position are associated with each other. Further, by performing the work with the tractor 10, it is possible to obtain the agricultural map data by associating the yield with the position.

As shown in FIGS. 1 and 2, the combine 30 includes a vehicle body 31, a prime mover 32, a grain tank 33, a cutting device 34, a threshing device (not shown), a control device 35, and a measuring device 36. ing. The prime mover 32, the grain tank 33, and the threshing device are provided on the vehicle body 31. The cutting device 34 is provided at the front portion of the vehicle body 31. The reaping device 34 is a device for reaping grains. The threshing device is a device for threshing the cut grain. The grain tank 33 is a tank for storing threshed grains. The control device 35 controls the prime mover 32, the threshing device, and the reaping device 34. The combine 30 is also provided with operating tools (operation lever, operation switch, operation volume, etc.) like the tractor 10.

The measuring device 36 is a load cell that detects the weight (yield) of the harvested crop, and a spectroscopic analyzer that measures the water content and the protein content of the harvested crop. Therefore, the measuring device 36 can detect the yield amount of the crop, the water content (water content rate) of the crop, and the protein amount (protein content rate).
Further, the vehicle body 31 is provided with a position detecting device 70B. The position detection device 70B is a device that detects a position (latitude, longitude) and has the same configuration as the position detection device 70A, and thus the description thereof will be omitted.

The combine 30 includes a storage unit 20B. As shown in FIG. 3, when the harvesting operation is performed by the combine 30, the storage unit 20B uses the yield of the crop as the yield data of the crop data and the water content and the protein content of the crop as the component data of the crop data. Remember as. The storage unit 20B stores the crop data (harvest amount, water content, protein content) in association with the position (detection position) detected by the position detection device 70B. The storage unit 20B may store the position (correction position) corrected by the position detection device 70B in association with the crop data.

Therefore, by performing the work with the combine 30, it is possible to acquire a plurality of agricultural map data in which each of the yield data and the component data is associated with the position. Similarly to the tractor 10, the combine 30 also acquires operation data such as vehicle speed, operating amount of operating tool, and rotation speed of the prime mover 32 as machine data, and associates the machine data with the position to store the storage unit 20B. You may memorize it in.

As shown in FIG. 1, the rice transplanter 40 includes a vehicle body 41, a prime mover 42, a transmission 43, and a seedling planting device 44. The prime mover 42 and the transmission 43 are provided on the vehicle body 41. The planting device 44 is provided at the rear of the vehicle body 41. The seedling planting device 44 takes out the seedlings mounted on the seedling stand 45 provided at the rear of the vehicle body 41 from the seedling stand 45 and plants them in a field or the like.
Further, an implant 17 such as a fertilizer applicator and a seeder can be attached to the rear side of the vehicle body 41. Further, the vehicle body 41 is provided with a position detecting device 70C. The position detection device 70C is a device that detects a position (latitude, longitude) and has the same configuration as the position detection device 70A, and thus the description thereof will be omitted. The rice transplanter 40 is also provided with operating tools (operation lever, operation switch, operation volume, etc.) like the tractor 10 and the combine 30.

As shown in FIG. 2, the rice transplanter 40 includes a control device 46 and a storage unit 20C. The control device 46 controls the prime mover 42, the transmission 43, and the like. The rice transplanter 40 is also provided with operating tools (operation lever, operation switch, operation volume, etc.) like the tractor 10 and the combine 30.
As shown in FIG. 3, when the rice transplanter 40 performs the rice planting work, the storage unit 20C stores the transplanted amount planted by the seedling planting device 44 as work data. The transplanting amount is the number of plants to be planted individually set in the rice transplanter 40, and is, for example, the number of articles such as 3, 4, 5, 8, 10 and the like. Further, when the implementation 17 is attached to the rice transplanter 40, the storage unit 20C can store the fertilizer application amount and the sowing amount as work data.

Further, the storage unit 20C stores the work data (implantation amount, fertilizer application amount, sowing amount) in association with the position (detection position) detected by the position detection device 70C. The storage unit 20C may store the position (correction position) corrected by the position detection device 70C in association with the work data.
Therefore, by performing the work with the rice transplanter 40, it is possible to acquire a plurality of agricultural map data in which each of the transplanting amount, the fertilizing amount, the sowing amount, and the position are associated with each other. Similarly to the tractor 10 and the combine 30, the rice transplanter 40 also acquires operation data such as vehicle speed, operating amount of operating tool, and rotation speed of the prime mover 32 as machine data, and associates the machine data with the position. It may be stored in the storage unit 20C.

As shown in FIG. 1, the multicopter 50 has an airframe 50a, an arm 50b provided on the airframe 50a, a rotor blade 50c provided on the arm 50b, and a skid 50d provided on the airframe 50a. There is. The rotor blade 50c is a device that generates lift for flight, and includes a rotor that applies rotational force and a blade (propeller) that is rotated by driving the rotor.

Further, the multicopter 50 has an image pickup device 50e. The image pickup device 50e is an device that is composed of an infrared camera or the like and can image crops in the field.
Further, the multicopter 50 has a position detection device 70D. The position detection device 70D is a device that detects a position (latitude, longitude) and has the same configuration as the position detection device 70A, and thus the description thereof will be omitted.

The multicopter 50 flies over the field, aerial photographs of the crops on the field, and the image (captured image) captured by the image pickup device 50e is associated with the position detected by the position detection device 70D and the image pickup data. do. The imaged data is stored in the storage unit 20D provided in the multicopter 50. The imaged data is data that is converted into growth data by analysis and vegetation indexes such as DVI, RVI, NDVI, GNDVI, SAVI, TSAVI, CAI, MTCI, REP, PRI, and RSI. Further, the storage unit 20D can store operation data such as the rotation speed and flight altitude of the rotary blade 50c as machine data.

Therefore, by flying the multicopter 50 over the field, it is possible to acquire the imaging data that is the source of the data (growth data) indicating the growth of the crop. That is, the multicopter 50 can also acquire agricultural map data in which the growth data and the position are associated with each other. In addition, it is possible to acquire a plurality of agricultural map data in which the rotation speed of the rotor blade 50c, the operation data (machine data) of the flight altitude, and the position are associated with each other.

Before planting a crop, the multicopter 50 is flown over the field to acquire an image, and the acquired image is analyzed to acquire soil component data in the soil data of the field. You may do so. In this case, the multicopter 50 can acquire the agricultural map data in which the soil data and the position are associated with each other. Further, when a chemical sprayer or the like is attached to the multicopter 50, the chemical spraying amount can be acquired as work data.

As described above, various data (various agricultural map data) can be acquired by an agricultural machine such as a tractor, a combine harvester, a rice transplanter, and an air vehicle such as a multicopter, as shown in FIG. In addition, agricultural map data includes time information such as month, day, and time in addition to crop data, soil data, machine data, work data and position (latitude, longitude). The time information includes, for example, the time when the position detection devices 70A, 70B, 70C, and 70D detect the position, the tractor 10, the combine 30, the rice transplanter 40, the multicopter 50, and the like, and the crop data, machine data, work data, and the like. This is the time when soil data was detected.

In addition, agricultural map data includes types in addition to crop data, soil data, machine data, work data, location, and time information. The type is information for grasping what kind of data or what kind of map it is. A type is assigned for each data or map. For example, when the tractor 10, the combine 30, the rice transplanter 40, the multicopter 50, etc. transmit the agricultural map data to the agricultural support device 1, and the tractor 10, the combine 30, the rice transplanter 40, the multicopter 50, etc. detect the data. , When the data is stored in the storage units 20A, 20B, 20C, 20D, etc., the data type or the map type is assigned by a manual input operation by a worker, an administrator, or the like. After the agricultural support device 1 acquires the data, the data type or the map type may be assigned by a manual input operation by a worker, a manager, or the like. The data type or map type may be automatically assigned. The type of data is called "data type", and the type of map is called "map type". The above-mentioned machine is an example, and it is not limited to obtain agricultural map data from a machine other than a tractor, a combine, a rice transplanter, and a multicopter.

As shown in FIG. 2, the agricultural support device 1 includes a data acquisition unit 2. The data acquisition unit 2 is composed of electrical / electronic parts provided in the agricultural support device 1, a program stored in the agricultural support device 1, and the like. The data acquisition unit 2 acquires a plurality of agricultural map data. For example, a plurality of agricultural map data are acquired from the tractor 10, the combine 30, the rice transplanter 40, and the multicopter 50 by direct communication or indirect communication.

The tractor 10, combine 30, rice transplanter 40, and multicopter 50 are provided with communication devices 60A, 60B, 60C, and 60D, respectively. The communication devices 60A, 60B, 60C, and 60D are communication modules that perform either direct communication or indirect communication to the agricultural support device 1, and are, for example, Wi-Fi (Wireless Fidelity,) of the IEEE 802.11 series, which is a communication standard. Wireless communication can be performed by registered trademark), BLE (Bluetooth (registered trademark) Low Energy), LPWA (Low Power, Wide Area), LPWAN (Low-Power Wide-Area Network), and the like. Further, the communication devices 60A, 60B, 60C, 60D can perform wireless communication by, for example, a mobile phone communication network or a data communication network.

In the case of direct communication, the data acquisition unit 2 requests the communication devices 60A, 60B, 60C, and 60D to transmit the agricultural map data periodically or irregularly. When the communication devices 60A, 60B, 60C, 60D receive the request for transmission of the agricultural map data, the tractor 10, the combine 30, the rice transplanter 40, and the multicopter 50 receive the storage units 20A, 20B, 20C, 20D according to the request. The agricultural map data stored in the agricultural support device 1 is transmitted to the agricultural support device 1 via the communication devices 60A, 60B, 60C, and 60D. When the agricultural support device 1 receives the agricultural map data transmitted from the tractor 10, the combine 30, the rice transplanter 40, and the multicopter 50, the data acquisition unit 2 receives the agricultural map data. Alternatively, in the case of direct communication, the communication devices 60A, 60B, 60C, 60D provided in the tractor 10, combine 30, rice transplanter 40, and multicopter 50, respectively, to the agricultural support device 1 are stored in the storage units 20A, 20B, 20C. , 20D agricultural map data is transmitted. When the agricultural support device 1 receives the agricultural map data transmitted from the tractor 10, the combine 30, the rice transplanter 40, and the multicopter 50, the data acquisition unit 2 acquires the agricultural map data.

In the case of direct communication, when the agricultural support device 1 receives the imaging data that is the source of the growth data, the agricultural support device 1 converts the imaging data into the growth data and then acquires the growth data as a data acquisition unit. By passing it to 2, the data acquisition unit 2 can acquire the agricultural map data corresponding to the growth data.
On the other hand, in the case of indirect communication, the communication devices 60A, 60B, 60C, 60D periodically or irregularly transmit the agricultural map data stored in the storage units 20A, 20B, 20C, 20D to the mobile terminal 61. The mobile terminal 61 is a smartphone, tablet, PDA, or the like, and when it receives the agricultural map data, it temporarily stores (saves) the received agricultural map data. The data acquisition unit 2 requests the mobile terminal 61 to transmit the agricultural map data on a regular or irregular basis. When the mobile terminal 61 receives the request for transmitting the agricultural map data, the mobile terminal 61 transmits the temporarily stored agricultural map data to the agricultural support device 1. When the agricultural support device 1 receives the agricultural map data transmitted from the mobile terminal 61, the data acquisition unit 2 receives the agricultural map data. Alternatively, in the case of indirect communication, the agricultural map data is transmitted from the mobile terminal 61 to the agricultural support device 1. When the agricultural support device 1 receives the agricultural map data transmitted from the mobile terminal 61, the data acquisition unit 2 acquires the agricultural map data.

In the case of indirect communication, when the mobile terminal 61 receives the imaging data that is the source of the growth data, the mobile terminal 61 may convert the imaging data into the growth data. Alternatively, as in the case of direct communication, the agricultural support device 1 may convert the imaged data into growth data after the agricultural support device 1 receives the imaged data.
By the way, the data acquisition unit 2 connects to a server or the like of the Japan Meteorological Agency via an external network (WAN or the like), and acquires agricultural map data in which a position is assigned to the meteorological data provided by the Japan Meteorological Agency. The data acquisition unit 2 may acquire agricultural map data in which a position is assigned to the meteorological data by accessing a server of a meteorological information providing company or the like that provides the meteorological information, or is provided by another information providing company. The meteorological information may be acquired, and the method of acquiring the meteorological information is not limited.

Therefore, the agricultural support device 1 can acquire the agricultural map data transmitted from the communication devices 60A, 60B, 60C, and 60D, and the agricultural map data transmitted from the Japan Meteorological Agency and the like.
In the above-described embodiment, when the communication devices 60A, 60B, 60C, and 60D are provided in the tractor 10, the combine 30, the rice transplanter 40, and the multicopter 50, respectively, the data acquisition unit 2 acquires the agricultural map data. I explained that, but it is possible to acquire agricultural map data other than communication devices.

As shown in FIG. 2, each of the tractor 10, combine 30, rice transplanter 40, and multicopter 50 is provided with an input / output device 63 to which a storage medium such as a USB memory or an SD card can be connected. There is. The input / output device 63 is provided in a tractor 10, a combine 30, a rice transplanter 40, a control device of a multicopter 50, a display device, and the like, and can write data to a storage medium and acquire information on the storage medium. Is. When the input / output device 63 is connected to the storage medium, the agricultural map data stored in the storage units 20A, 20B, 20C, and 20D is transferred to the storage medium. The storage medium can be connected to a mobile terminal 61 or a fixed terminal 64 such as a personal computer. When the storage medium is connected to the mobile terminal 61 or the fixed terminal 64, the agricultural map data stored in the storage medium is transferred to the mobile terminal 61 or the fixed terminal 64. Agricultural map data is transmitted from the mobile terminal 61 or the fixed terminal 64 to the agricultural support device 1. When the agricultural support device 1 receives the agricultural map data transmitted from the mobile terminal 61 or the fixed terminal 64, the data acquisition unit 2 receives the agricultural map data.

Therefore, after the agricultural map data is transferred to the mobile terminal 61 or the fixed terminal 64 via the storage medium, the agricultural support device 1 receives the agricultural map data transmitted from the mobile terminal 61 or the fixed terminal 64, thereby. The agricultural map data can be obtained.
When a storage medium is used and the mobile terminal 61 or the fixed terminal 64 receives the imaging data, the mobile terminal 61 or the fixed terminal 64 may convert the imaging data into growth data. Alternatively, as in the case of direct communication, the agricultural support device 1 may convert the imaged data into growth data after the agricultural support device 1 receives the imaged data.

As shown in FIG. 2, the agricultural support device 1 includes a storage unit 3. The storage unit 3 includes a map data storage unit 3A for storing agricultural map data and a correlation storage unit 3B for storing information on correlation. The map data storage unit 3A and the correlation storage unit 3B are composed of a non-volatile memory or the like.
When the data acquisition unit 2 acquires the agricultural map data, the map data storage unit 3A stores the acquired agricultural map data. As shown in FIG. 5, when the agricultural map data is stored in the map data storage unit 3A, the agricultural map data is assigned management information indicated by characters, alphanumeric characters, etc., and the agricultural map data is stored together with the management information. .. The management information is information set to facilitate calculation, search, organization, etc. of agricultural map data. For example, the management information is assigned information indicating data items (crop data, soil data, meteorological data, machine data, work data), data type or map type. For example, in the management information, the upper 3 digit characters indicate the data item, the 5 digit characters following the data item indicate the data type or map type, and the 10 digit characters following the data type or map type indicate agriculture. Assigned each time map data is obtained. For example, in the case of the 10th data acquired in the growth map, the management information is "001-004-00000000010".

The agricultural support device 1 includes a display control unit 4, a data selection unit 5, and a correlation calculation unit 6.
The display control unit 4, the data selection unit 5, and the correlation calculation unit 6 are composed of electrical / electronic parts provided in the agricultural support device 1, a program stored in the agricultural support device 1, and the like.
The display control unit 4 controls the display of any of the display units 65 and 66 of the mobile terminal 61 and the fixed terminal 64 connected to the agricultural support device 1. The display units 65 and 66 are composed of a liquid crystal monitor, a liquid crystal panel, and the like, and can perform various displays. For example, the display units 65 and 66 display a plurality of agricultural maps that visualize a plurality of agricultural map data.

The data selection unit 5 accepts selection of a plurality of arbitrary agricultural map data among the plurality of agricultural map data. The correlation calculation unit 6 calculates the correlation of a plurality of arbitrary agricultural map data received by the data selection unit 5. That is, the data selection unit 5 and the correlation calculation unit 6 of the agricultural support device 1 can obtain the mutual correlation of at least two or more arbitrarily selected agricultural map data from the plurality of agricultural map data. It is possible.

Next, the configurations of the display control unit 4, the data selection unit 5, and the correlation calculation unit 6 will be described in detail.
For example, when the fixed terminal 64 logs in to the agricultural support device 1, a menu screen for selecting a menu or the like is displayed on the display unit 65 of the fixed terminal 64 under the control of the display control unit 4 or the like. Hereinafter, the description will be given using the fixed terminal 64 as an example, but of course, it can be applied to the mobile terminal 61.

When a button or the like is selected on the menu screen and a predetermined operation is performed, the fixed terminal 64 requests the agricultural support device 1 for map support. As shown in FIG. 6, the display control unit 4 of the agricultural support device 1 displays the support screen M1 on the display unit 65 of the fixed terminal 64 in response to the request of the fixed terminal 64.
The support screen M1 includes a first map display unit 81 and a second map display unit 82. The first map display unit 81 displays the agricultural map F1 that visualizes the agricultural map data stored in the map data storage unit 3A. For example, the display control unit 4 refers to the map data storage unit 3A, converts the agricultural map data stored in the map data storage unit 3A into the agricultural map F1, and displays the converted agricultural map F1 on the first map. It is displayed on the unit 81. For example, the display control unit 4 refers to data such as numerical values and positions (latitude, longitude) in the agricultural map data. On the other hand, the display control unit 4 divides the field in the first map display unit 81 into a plurality of areas Qn (n = 1, 2, 3 ... n), and in the agricultural map data, each of the divided areas Qn. The average value obtained by averaging a plurality of data Gn [i] (n: division, Gn [i]: data, i: number of data) to be entered is set to the representative value Dn (n = 1, 2, 3 ... n). do. Alternatively, the display control unit 4 sets the integrated value obtained by integrating a plurality of data Gn [i] entering each of the divided areas Qn as the representative value Dn in the agricultural map data. Alternatively, the display control unit 4 sets a numerical value around the area obtained by dividing the average value and the integrated value by the area of the area Qn as the representative value Dn.

After obtaining the representative value Dn, the display control unit 4 assigns a plurality of groups (plurality of ranks) according to the magnitude (value) of the representative value Dn, and changes the color or the like for each rank. Display the agricultural map F1. That is, the first map display unit 81 divides a field showing a field or the like into a plurality of fields, and displays a mesh-type agricultural map in which the agricultural map data data is assigned to the area Qn. Further, in the above-described embodiment, the visualization of the agricultural map F1 with a mesh-type map has been illustrated, but the visualized map of the agricultural map F1 is not limited to the above-mentioned example.

When a plurality of agricultural map data are stored in the map data storage unit 3A, the plurality of agricultural maps F1 are displayed vertically or horizontally on the first map display unit 81. When the agricultural map F1 is displayed on the first map display unit 81, the display control unit 4 displays the map type, the data type, and the agricultural map data that is the basis of the agricultural map F1 around the agricultural map F1. Display basic map information such as acquisition date. The basic information (map type, data type, acquisition date, etc.) of the agricultural map F1 can be obtained by connecting either the mobile terminal 61 or the fixed terminal 64 to the agricultural support device 1 and inputting the basic information. Basic information is associated with each map data (management information). The basic information is automatically generated and associated with the management information, and may be stored in the map data storage unit 3A, and the input method, the association method, and the like are not limited.

Hereinafter, for convenience of explanation, the agricultural map F1 displayed on the first map display unit 81 is referred to as the first map F1.
The first map F1 displayed on the first map display unit 81 can be selected by the pointer 84. When the display unit 65 is a touch panel, the first map F1 displayed on the first map display unit 81 may be selected by a selection operation by an operator or the like.

When a plurality of first maps F1 are displayed on the first map display unit 81 and any first map F1 is selected by the pointer 84 or the selection operation, the data selection unit 5 is selected. Holds management information of an arbitrary first map F1. When two or more of the plurality of first maps F1 displayed on the first map display unit 81 are selected and the completion button 85 displayed on the support screen M1 is selected, data selection is performed. The unit 5 outputs (notifies) a plurality of the retained management information to the correlation calculation unit 6. Hereinafter, among the plurality of first maps F1, the first map F1 corresponding to the management information received by the data selection unit 5, that is, the first map F1 selected by the data selection unit 5 is referred to as a “selection map”. That is. Agricultural map data corresponding to the selection map is called "selection data".

The correlation calculation unit 6 refers to the map data storage unit 3A and extracts a plurality of selected data from the plurality of agricultural map data. Here, when the number of selection maps (the number of selections of selection data), that is, the number of management information held by the data selection unit 5 is set to "p", the correlation calculation unit 6 applies to each of the plurality of selection data. The correlation coefficient of the corresponding data Gn [i] p (n: division, i: number of data, Gn [i]: data, i: number of data, p = 1, 2, ... Number of selections) is obtained. For example, when the number of selection maps is two, the growth map is selected as the selection map for the first time (p = 1), and the seeding map is selected for the second time (p = 2), the correlation calculation unit 6 will perform the correlation calculation unit 6. The correlation coefficient between the growth data Gn [i] 1 which is the source of the growth map and the seeding data Gn [i] 2 which is the source of the seeding map is obtained.

Specifically, the correlation calculation unit 6 uses the growth data Gn [i] 1 and the seeding data Gn [i] 2, and the correlation coefficient Cn (n = 1, 2, 3 ...・ Find n). For example, when the number of data in the area Q1 (n = 1) is 3 (i = 3), all the data of the growth data G1 [1] 1, G1 [2] 1, and G1 [2] 1 and the seeding data. The correlation coefficient with all the data of G1 [1] 2, G1 [2] 2, and G1 [2] 2 is defined as the correlation coefficient C1 of the area Q1.

Then, the correlation calculation unit 6 obtains the correlation coefficient Cn (n = 1, 2, 3 ... n) for each area Qn, and then sets the obtained correlation coefficient Cn to the magnitude of the correlation coefficient Cn (n). Correlation map F2 is created by assigning a plurality of groups (plurality of ranks) according to the value).
The second map display unit 82 displays the correlation map F2 that visualizes the correlation calculated by the correlation calculation unit 6. That is, the second map display unit 82 displays the correlation map F2 in which the color or the like is changed for each rank of each area Qn assigned by the correlation calculation unit 6. That is, the second map display unit 82 displays a mesh-type correlation map F2 in which a field showing a field or the like is divided into a plurality of fields and a correlation coefficient Cn is assigned to the area Qn. In the above-described embodiment, the visualization of the correlation map F2 with a mesh-type map has been illustrated, but the correlation map F2 is not limited to the above-mentioned example.

Further, the second map display unit 82 displays the basic map information corresponding to the plurality of selected maps used for calculating the correlation coefficient Cn together with the correlation map F2. For example, as described above, when the selection map is a growth map and a sowing map, the map type, data type, acquisition date, etc. of each of the growth map and the sowing map are displayed.
As shown in FIG. 6, the support screen M1 may display the setting unit 83. The setting unit 83 is a part for making various settings related to the support screen M1. In the setting unit 83, for example, the narrowing down information of the agricultural map F1 to be displayed on the first map display unit 81 can be input. The narrowing down information is an acquisition date, a range of acquisition dates, a type, and the like. When the narrowing down information is input, only the agricultural map F1 corresponding to the narrowing down information can be displayed on the first map display unit 81 among the plurality of agricultural maps F1.

Further, the setting unit 83 has a length (vertical length, horizontal length) of one side of the area Qn in the agricultural map F1 and the correlation map F2 displayed by the first map display unit 81 and the second map display unit 82. ), And the threshold value (range) of the representative value Dn of a plurality of ranks (levels) can be set. The setting unit 83 can change the mesh length and rank range of the area Qn.

FIG. 10 is a diagram showing a flow from acquisition of agricultural map data to display of a correlation map or the like.
The data acquisition unit 2 of the agricultural support device 1 acquires agricultural map data transmitted from a machine or the like on a regular or irregular basis (S1). After the agricultural map data is acquired, the acquired agricultural map data is stored in the map data storage unit 3A together with the management information and the basic information (S2). When an agricultural worker connects to the agricultural support device 1 using the mobile terminal 61 or the fixed terminal 64 (S3), the support screen M1 is displayed on the display unit 66 of the mobile terminal 61 or the display unit 65 of the fixed terminal 64 (S4). .. A plurality of agricultural maps F1 are displayed on the support screen M1 (S5). When the selection of the plurality of arbitrary agricultural maps F1 is completed (S6), the correlation coefficient in the plurality of arbitrary agricultural maps F1 is calculated (S7), and the correlation map F2 is displayed (S8). As described above, by repeating steps S5 to S8, it is possible to find out a plurality of agricultural maps F1 that tend to have a high correlation coefficient, and to grasp the highly correlated parts on the correlation map F2.

According to the above, the agricultural support system includes a data acquisition unit 2, a data selection unit 5 that accepts selection of a plurality of arbitrary agricultural map data among a plurality of agricultural map data acquired by the data acquisition unit 2, and a data selection unit. A correlation calculation unit 6 that calculates the correlation of a plurality of arbitrary agricultural map data received in 5, and a display unit that displays the correlation obtained by the correlation calculation unit 6 (display unit 66 of the mobile terminal 61, display unit of the fixed terminal 64). 65) and. Further, the agricultural support device 1 includes a data acquisition unit 2, a data selection unit 5, a correlation calculation unit 6, and a display control unit 4.

Therefore, for example, an agricultural worker such as a farmer or a manager collects a plurality of agricultural map data, and selects an arbitrary plurality of agricultural map data from the collected plurality of agricultural map data. , It is possible to grasp whether the correlation between the selected agricultural map data is high or low. In other words, among a large number of yield data, component data, growth data, soil component data, meteorological data, machine data, and work data, agricultural workers can grasp data with high correlation by selecting various combinations. It can be used in actual agriculture.

The display unit 66 of the mobile terminal 61 and the display unit 65 of the fixed terminal 64 display a plurality of agricultural maps that visualize a plurality of agricultural map data, and the data selection unit 5 displays a plurality of agricultural maps displayed on the display units 65 and 66. Accepts the selected agricultural map from the agricultural maps. This makes it easy to select the agricultural map to be used for correlation while looking at the agricultural map of a large number of agricultural map data.

Further, the correlation calculation unit 6 creates a correlation map F2 that visualizes the correlation such as the correlation coefficient, and displays the correlation map F2 created by the correlation calculation unit 6 on the display units 65 and 66. According to this, it is possible to grasp the tendency of the correlation in the whole map as well as the agricultural map used to obtain the correlation.
The display units 65 and 66 display the agricultural map (selection map) F1 corresponding to the plurality of agricultural map data (selection data) used to obtain the correlation coefficient Cn on the first map display unit 81, and display the phase relationship. The correlation map F2 represented by the number Cn is displayed on the second map display unit 82. That is, since the display units 65 and 66 display the selection map F1 and the correlation coefficient Cn in association with each other, the relationship between the selection map F1 and the correlation coefficient Cn can be visually grasped.

Now, when the correlation calculation unit 6 creates the correlation map F2, the correlation calculation unit 6 creates new agricultural map data by setting the correlation coefficient Cn (correlation data) as the agricultural map data. As shown in FIG. 5, specifically, when the correlation calculation unit 6 creates the correlation map F2, the correlation calculation unit 6 creates new management information for the correlation data, and the new management information. And the correlation data (correlation coefficient Cn for each area Qn) and the management information corresponding to the plurality of selection maps used for calculating the correlation of the correlation map F2 are stored in the map data storage unit 3A in association with each other. ..

As described above, when the correlation calculation unit 6 creates the correlation data, that is, the correlation map F2 based on the growth data and the seeding data, the correlation calculation unit 6 provides the management information corresponding to the correlation data to "006-001". It is set to "-00000000002", and the management information corresponding to the growth data (001-004-00000000010) and the management information corresponding to the seeding data (003-03-0000000001) are associated with the management information as related information. .. Then, the correlation calculation unit 6 creates new agricultural map data and correlation data by storing the correlation coefficient Cn, which is the correlation data, in association with the management information indicated by "006-001-00000000002". be able to.
As shown in FIG. 5, the correlation calculation unit 6 creates "correlation map", "correlation data", and "correlation map data" for the map name, data type, and acquisition date corresponding to the new agricultural map data, respectively. It is preferable to set the corresponding "correlation map", "correlation data", and the date when the correlation map data was created as the basic information in correspondence with the "date".

Further, in the above-described embodiment, management information corresponding to the agricultural map data used for obtaining the correlation, for example, growth data management information and seeding data management information are stored in the map data storage unit 3A as related information. However, instead of this, the basic information of the growth data and the basic information of the seeding data may be associated and stored in the map data storage unit 3A.
As described above, since the correlation data is added to the map data storage unit 3A as new agricultural map data, the first map display unit 81 can display the correlation map that visualizes the correlation data as the agricultural map F1. Yes, the correlation map can be selected by the data selection unit 5.

Therefore, the newly created correlation data is also added as new agricultural map data and can be selected, so the correlation data can also be correlated with other data (crop data, soil data, meteorological data, machine data, work data). Can be examined.
In the above-described embodiment, the correlation calculation unit 6 has obtained the correlation coefficient Cn for each area Qn from two or more selection maps F1, but the overall phase relationship of the data corresponding to the two or more selection maps F1. A few CTs may be obtained. Further, the entire correlation coefficient CT obtained by the correlation calculation unit 6 may be stored in the correlation storage unit 3B together with the information of the selection map F1 used for obtaining the correlation.

For example, after selecting two or more selection maps F1 in the first map display unit 81, the correlation calculation unit 6 uses all the data of the data Gn [i] p corresponding to each of the plurality of selection data F1s. The overall correlation coefficient CT is obtained. For example, when the growth map is selected as the selection map F1 for the first time (p = 1), the seeding map is selected for the second time (p = 2), and the number of data is 10 (i = 10), the correlation calculation is performed. Part 6 obtains the overall correlation coefficient CT from all the data of the growth data Gn [1] 1 to Gn [10] 1 and the seeding data Gn [1] 2 to Gn [10] 2 (n: 1). ~ Max). The correlation storage unit 3B associates the management information (001-004-00000000010) corresponding to the growth data Gn [i] 1 with the management information (003-003-00000000001) corresponding to the seeding data Gn [i] 2. Then, at least the type (map type, data type) and the total correlation coefficient CT obtained by the correlation calculation unit 6 are stored.

As shown in FIG. 7A, in the above-described embodiment, the correlation storage unit 3B stores the management information together with the overall correlation coefficient CT, thereby obtaining the type (map type, data type) and the correlation calculation unit 6. Although the entire correlation coefficient CT is stored in association with each other, as shown in FIG. 7B, by storing the basic information in association with the overall correlation coefficient CT, the type (map type, data type) and the type (map type, data type) can be stored. It may be stored in association with the entire correlation coefficient CT obtained by the correlation calculation unit 6. Alternatively, the correlation storage unit 3B may directly store the type (map type, data type) and the overall correlation coefficient CT.

The display units 65 and 66 display the entire correlation coefficient CT stored in the correlation storage unit 3B and the types of a plurality of agricultural map data (map type, data type) associated with the correlation coefficient CT. FIG. 8 shows the support screen M2. When a button or the like is selected on the menu screen and a predetermined operation is performed, the support screen M2 is displayed on the display unit 65 of the fixed terminal 64.
The support screen M2 includes a correlation display unit 86. As shown in FIG. 8, the correlation display unit 86 displays a list of the correlation coefficient CT stored in the correlation storage unit 3B and the type (map type, data type). For example, the display control unit 4 refers to the management information of the correlation storage unit 3B, calculates basic information including the type from the management information, and displays a list of the calculated basic information and the correlation coefficient CT.

According to this, it is possible to grasp the correlation coefficient CT in at least two or more agricultural map data (selected data) and the type of agricultural map data (selected data) used to calculate the correlation coefficient CT. can. For example, it is possible to grasp whether the relationship between the driving rotation map and the growth map is high or low.
The display units 65 and 66 indicate the type of agricultural map data (selected data) in which the correlation coefficient CT is equal to or greater than the threshold value among the plurality of agricultural map data (selected data) used to obtain the correlation coefficient. The combination may be displayed. For example, as shown in FIG. 8, the correlation display unit 86 of the support screen M2 shows an input unit for inputting an upper limit value and a lower limit value of the correlation coefficient CT. When the upper limit value and the lower limit value of the correlation coefficient CT are input, the display control unit 4 refers to the correlation storage unit 3B and provides management information corresponding to the correlation coefficient CT that falls between the upper limit value and the lower limit value. Search for. After searching the management information, the basic information including the type is calculated from the management information, and the calculated basic information, that is, the combination of the types of agricultural map data (selected data) and the correlation between the upper limit value and the lower limit value. Display a list with several CTs. According to this, it is possible to grasp agricultural maps with high correlation and easily grasp agricultural maps with low correlation.

In the support screen M2 described above, the correlation coefficient CT of two or more selected data and the type of selected data were displayed. Instead, as shown in FIG. 9, two or more selected data are displayed. The selection map F2 corresponding to the selection data and the correlation coefficient CT may be displayed.
It should be considered that the embodiments disclosed this time are exemplary in all respects and not restrictive. The scope of the present invention is shown not by the above description but by the scope of claims, and is intended to include all modifications within the meaning and scope equivalent to the scope of claims.

For example, when displaying an agricultural map of agricultural map data, an image showing a field or the like and an agricultural map may be superimposed and displayed. The locus of the positions of the position detection devices 70A, 70B, and 70C when the agricultural machinery such as the tractor 10, the combine 30, and the rice transplanter 40 travels may be treated as a "travel locus", and the travel locus may be treated as agricultural map data. When performing work such as spraying with the multicopter 50, the flight trajectory of the multicopter 50 may also be treated as agricultural map data. When the agricultural map data is a locus (traveling locus, flight locus), for example, while displaying the locus map (traveling map, flight map) on the support screen M1, other agricultural maps are also displayed. For example, when a crop map in crop data (yield data, component data, growth data), soil data, and a trajectory map are selected, the crop map and running map are displayed on the support screen under the control of the display control unit 4. By superimposing and displaying, the correlation between the two can be confirmed.

1 Agricultural support device 2 Data acquisition unit 3 Storage unit 3A Map data storage unit 3B Correlation storage unit 4 Display control unit 5 Data selection unit 6 Correlation calculation unit 10 Tractor 11 Body body 12 Motor 13 Transmission unit 14 Driver's seat 15 Steering device 16 Connection unit 17 Implement 19 Control device 20A Storage unit 20B Storage unit 20C Storage unit 20D Storage unit 30 Combine 31 Body 32 Motor 33 Glen tank 34 Mowing device 35 Control device 36 Measuring device 40 Rice planting machine 41 Body 42 Motor Device 45 Seedling stand 46 Control device 50 Multicopter 50a Aircraft 50b Arm 50c Rotating wing 50d Skid 50e Imaging device 60A, 60B, 60C, 60D Communication device 61 Mobile terminal 63 Input / output device 64 Fixed terminal 65 Display unit 66 Display unit 70A Position detection Device 70B Position detection device 70C Position detection device 70D Position detection device 81 1st map display unit 82 2nd map display unit 83 Setting unit 84 Pointer 85 Finish button 86 Correlation display unit F1 Agricultural map (1st map, selection map)
F2 correlation map Qn area Gn [i] data Dn representative value F1 agricultural map (first map, selection map)
Correlation coefficient for each Cn area

Claims (5)

A data acquisition unit that acquires a plurality of agricultural map data related to agriculture, which includes a plurality of data in a plurality of areas when the field where the agriculture is performed is divided into a plurality of areas.
A data selection unit that accepts selection of at least two agricultural map data among the plurality of agricultural map data acquired by the data acquisition unit, and a data selection unit.
Of the two agricultural map data received by the data selection unit, a plurality of data included in a predetermined area of one agricultural map data and the other agricultural map data included in the same area as the predetermined area. Correlation calculation unit that calculates the correlation coefficient with multiple data
A display unit that displays the correlation coefficient corresponding to a predetermined area obtained by the correlation calculation unit, and a display unit that displays the correlation coefficient.
Agricultural support system equipped with. The display unit displays a plurality of agricultural maps that visualize a plurality of agricultural map data.
The agricultural support system according to claim 1, wherein the data selection unit accepts an agricultural map selected from a plurality of agricultural maps displayed on the display unit. A storage unit for storing the correlation coefficient and each type of the two agricultural map data used for calculating the correlation coefficient in association with each other is provided.
Wherein the display unit, agricultural support system according to claim 1 or 2 for displaying the correlation coefficient stored in the storage unit, and a type of the two agricultural map data used in the calculation of the correlation coefficient. The correlation calculation unit calculates the correlation coefficient between all the plurality of data of one agricultural map data and all the plurality of data of the other agricultural map data, and the display unit calculates all the plurality of data. The agricultural support system according to claim 1, which displays a combination of types of agricultural map data when the correlation coefficient obtained from is equal to or greater than a threshold value. The correlation calculation unit obtains a plurality of correlations for each of the plurality of common areas in the one agricultural map data and the other agricultural map data, and determines each of the obtained plurality of correlation coefficients. By setting the correlation coefficient of the area, a correlation map in which the correlation coefficient is associated with a plurality of predetermined areas is created.
The agricultural support system according to claim 1 to 3, wherein the display unit displays a correlation map created by the correlation calculation unit.

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