JP2019109792A - Agriculture support system and agriculture support device - Google Patents

Abstract

To make it possible to easily conduct agriculture support by using a plurality of agriculture map data.SOLUTION: An agriculture support system comprises: a data acquisition unit that acquires a plurality of agriculture map data on agriculture; and a data classification unit that classifies the plurality of agriculture map data into an agricultural product group belonging to agricultural products and a machine group belonging to machines. The agriculture support system includes a display unit that displays respectively agriculture map data belonging to the agricultural product group and agriculture map data belonging to the machine group, which are classified by the data classification unit.SELECTED DRAWING: Figure 1

Description

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

DESCRIPTION OF RELATED ART Conventionally, patent document 1 is known as a technique which produces field map data by plotting various information on the map etc. of a field.
The field management system of Patent Document 1 records a field work data generated for each work performed on a field by a variety of agricultural work machines, and a map data recording unit having a field map layer for recording field map data. And a field work data recording unit having a field-based field work layer.

JP, 2017-68533, A

By the way, in recent years, as shown to patent document 1, the trial which performs agriculture support using several field map data regarding agriculture is advanced. However, even if there is a plurality of field map data, it is the fact that utilization of the plurality of field map data is not sufficiently advanced.
Then, an object of the present invention is to provide an agricultural support system and an agricultural support apparatus which can easily perform agricultural support using a plurality of agricultural map data in view of the above-mentioned problems.

The technical means of the present invention for solving this technical problem is characterized by the following points.
The agricultural support system comprises a data acquisition unit for acquiring a plurality of agricultural map data related to agriculture, and a data classification unit for classifying the plurality of agricultural map data into a crop group belonging to a crop and a machine group belonging to a machine. Have.
The agricultural support system includes a display unit for displaying the agricultural map data of the crop group classified by the data classification unit and the agricultural map data of the machine group.

The agricultural support system includes a correlation operation unit that calculates a correlation between the agricultural map data of the crop group classified by the data classification unit and the agricultural map data of the machine group.
The agricultural support system receives, as the first data, selected agricultural map data from among a plurality of agricultural map data belonging to the crop group classified by the data classification unit, and the classification is performed by the data classification unit. The data selection part which receives the selected agricultural map data as 2nd data among several agricultural map data which belong to a machine group is provided.

The correlation operation unit calculates the correlation between the first data and the second data, and the display unit displays the correlation obtained by the correlation operation unit.
The display unit visualizes and displays the first data and the second data.
The agricultural support apparatus comprises: a data acquisition unit for acquiring a plurality of agricultural map data related to agriculture; and a data classification unit for classifying the plurality of agricultural map data into a crop group belonging to a crop and a machine group belonging to a machine Have.

The agricultural support apparatus includes a display unit that displays the agricultural map data of the crop group classified by the data classification unit and the agricultural map data of the machine group.
The agricultural support apparatus includes a correlation operation unit that calculates a correlation between the agricultural map data of the crop group classified by the data classification unit and the agricultural map data of the machine group.

  The agricultural support apparatus receives, as the first data, selected agricultural map data from among a plurality of agricultural map data belonging to the crop group classified by the data classification unit, and the classification unit is classified by the data classification unit. The data selection part which receives the selected agricultural map data as 2nd data among several agricultural map data which belong to a machine group is provided.

  The correlation operation unit calculates the correlation between the first data and the second data, and the display unit displays the correlation obtained by the correlation operation unit.

  According to the present invention, agricultural support can be easily performed by utilizing a plurality of agricultural map data.

It is the schematic of an agriculture support system. It is a block diagram of an agriculture support system. It is a figure which shows the list of the data detected by machines, such as a tractor, a combine, a rice transplanter, and a multicopter. It is a figure which shows agriculture map data. It is a figure which shows the relationship between 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 management information and the correlation coefficient CT of whole. It is a figure which shows the relationship between basic information and the correlation coefficient CT of whole. It is a figure showing an example of support screen M2. An example of a screen displaying the selection map F2 and the correlation coefficient CT is shown.

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

The agricultural support apparatus 1 can acquire various data (information), and for example, acquires agricultural map data as data. Agriculture map data is data in which data on agriculture is associated with position. Data related to agriculture includes crop data, soil data, weather data (environmental data), machine data, work data, and the like.
Crop data is data on crops such as grains (cereals), vegetables, fruits, beans, potatoes, etc., and is data showing yield of crops (yield data), data showing chemical components of crops (component data), crops Data (growth data) indicating the growth of The soil data is data relating to the soil at a place such as a field where crops are grown, and is data indicating chemical components of soil (soil component data), data indicating soil hardness (soil hardness data), and the like.

  The weather data is data such as wind direction, wind speed, air temperature, humidity, sunny, cloudy, rain, thunder, snow, rainfall, snowfall, rainfall probability, barometric pressure and the like. The machine data is various data relating to a machine that performs agriculture, for example, an agricultural vehicle such as a tractor, a rice transplanter, a transplanter, a harvester such as a combine, a fertilizer applicator, a drug sprayer, a forming machine, a mower, preparation Operation data for maneuvering, traveling, etc. in machines, cultivators, etc.

The work data is data relating to work performed on a field by a machine that performs agriculture, and includes the amount of transplant, the amount of fertilization, the amount of drug applied, the amount of seeding, and the like.
That is, agricultural map data includes crop data (yield data, component data, growth data), soil data (soil component data), weather data (wind direction, wind speed, air temperature, humidity, sunny, cloudy, rain, thunder, snow, rain) Amount, snowfall, rainfall probability, air pressure etc., machine data (agricultural vehicles, rice transplanters, transplanters, harvesters such as combine harvesters, fertilizer applicators, drug sprayers, seeders, molding machines, grass collectors, spreaders, It is the data in which the data regarding agriculture in any one of operation data (the amount of operation of a mower, preparation machine, etc.) and operation data (transplanting amount, fertilization amount, medicine spraying amount, sowing amount) are associated with the position. Such agricultural map data can be detected by various machines.

Next, taking a tractor, combine, rice transplanter, and multicopter machine as an example, acquisition of agricultural map data will be described.
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 between forward and reverse of the vehicle body 11. A driver's seat 14 is provided on the vehicle body 11, and a control device 15 is provided on the driver's seat 14. The rear portion of the vehicle body 11 is provided with a connecting portion 16 formed of a three-point link mechanism or the like. The attachment (attachment) 17 is attachable to and detachable from the connection portion 16. The attachment 17 can be pulled by the vehicle body 11 by connecting the attachment 17 to the connection portion 16. The implantation 17 is a cultivator for cultivating, a fertilizer applicator for applying fertilizer, a drug applicator for applying a drug, a seeder for sowing seeds, a harvester for harvesting, and the like.

  The vehicle body 11 is provided with a position detection device 70A. The position detection device 70A is a device that detects its own position (latitude, longitude) based on data of a positioning satellite (positioning satellite system) such as GPS and MICHIBIKI. The position detection device 70A may have an inertial device such as an acceleration sensor that detects acceleration or a gyro sensor that detects an angular velocity, and corrects the position using the acceleration and angular velocity detected by the inertial device. The position may be corrected by another correction signal or the like without limitation.

  As shown in FIG. 2, 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, etc. Control of the traveling system and working system of the tractor 1; For example, the control device 19 performs control of raising and lowering the connection portion 16 based on an operation signal of the operation tool, or controls the number of rotations of the diesel engine based on an accelerator pedal sensor. The control device 19 only needs to control the working system and the traveling system of the tractor 1, and the control method is not limited.

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 and the implants 17 and stores mechanical data, operation data, and yield data when the tractor 10 performs an operation.
As shown in FIG. 3, the storage unit 20A is the number of rotations of the tilling nail in the case of the tiller, the number of rotations such as a disk for fertilizing the fertilizer in the case of a fertilization machine, and the medicine spreader In the case, the discharge rate of the pump that discharges the medicine, the discharge pressure, the number of rotations of the feeding unit such as a roller that feeds seeds in the case of a seeder, the number of rotations of the cutting unit such as a cutting blade Are stored as machine data. The storage unit 20A also includes the PTO rotation speed of the tractor 10, the vehicle speed, the fuel consumption (fuel consumption), the operation amount of the operation tool, the depth of field, the gear of the transmission 13, the rotation speed of the prime mover 12, etc. Store the operation data as machine data. In addition, when the implantation 17 is a fertilizing machine, the amount of fertilization, the amount of sprayed medicine in the case of a drug spreader, and the amount of sowing in the case of a planter are stored as work data. When the implementation 17 is a harvester, the storage unit 20A stores the harvest amount (yield data) harvested by the harvester.

  In addition, the storage unit 20A includes mechanical data (rotation number of cultivating nail, rotation number of disc, discharge amount of pump, discharge pressure, rotation number of delivery unit, rotation number of reaper, PTO rotation number, vehicle speed, The position detected by the position detection device 70A when storing the operation amount, gear, rotation number of the prime mover, work data (fertilization amount, medicine spread amount, seeding amount), crop data (harvest amount) The detected position) is associated and stored. The storage unit 20A may store a position (correction position) obtained by correcting the position (detection position) detected by the position detection device 70A in association with each of the machine data, the work data, and the crop data.

  Therefore, by performing 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 drug spreader, and the planter are associated. In addition, by performing work with the tractor 10, it is possible to acquire a plurality of agricultural map data in which each of the fertilization amount, the drug dispersion amount, and the seeding amount is associated with the position. Furthermore, by performing work with the tractor 10, the harvest amount and the position can be associated with each other and acquired as agriculture map data.

  As shown in FIGS. 1 and 2, the combine 30 includes a vehicle body 31, a prime mover 32, a gren tank 33, a reaper 34, a threshing device (not shown), a controller 35, and a measuring device 36. ing. The prime mover 32, the gren tank 33 and the threshing device are provided on the vehicle body 31. The reaper 34 is provided at the front of the vehicle body 31. The reaper 34 is a device for reaping grain. The threshing device is a device for threshing harvested crops. The gren tank 33 is a tank for storing threshed grains. The control device 35 controls the prime mover 32, controls the threshing device, and controls the reaper 34. In the same manner as the tractor 10, the combine tool 30 is also provided with operation tools (operation lever, operation switch, operation volume, etc.).

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

  Combine 30 is provided with storage part 20B. As shown in FIG. 3, when the storage unit 20B performs the harvest operation with the combine 30, the harvest amount of the crop is used as the yield data of the crop data, and the water content rate and the protein content rate of the crop are the component data of the crop data Remember as. The storage unit 20B stores the crop data (the amount of harvest, the moisture content rate, the protein content rate) in association with the position (detection position) detected by the position detection device 70B. The storage unit 20B may store the position (correction position) obtained by correcting the position (detection position) detected by the position detection device 70B in association with the crop data.

  Therefore, by performing the work by 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. Also in the combine 30, similarly to the tractor 10, the operation data such as the vehicle speed, the operation amount of the operation tool, and the number of rotations of the prime mover 32 are acquired as machine data, and the storage unit 20B is associated with machine data and position. May be stored.

As shown in FIG. 1, the rice transplanter 40 includes a vehicle body 41, a motor 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 a seedling platform 45 provided at the rear of the vehicle body 41 from the seedling platform 45 and plants them in a field or the like.
In addition, on the rear side of the vehicle body 41, an implant 17 such as a fertilizer applicator or a planter can be attached. Further, the vehicle body 41 is provided with a position detection device 70C. The position detection device 70C is a device that detects a position (latitude, longitude), and has a configuration similar to that of the position detection device 70A, so the description thereof will be omitted. The rice planter 40 is also provided with operation tools (operation lever, operation switch, operation volume, etc.) as with 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 and controls the transmission 43 and the like. The rice planter 40 is also provided with operation tools (operation lever, operation switch, operation volume, etc.) as with the tractor 10 and the combine 30.
As shown in FIG. 3, when the rice planting operation is performed by the rice planter 40, the storage unit 20 </ b> C stores the transplanted amount planted by the seedling planting device 44 as operation data. The transplanted amount is the number of rows of plantings set individually for the rice transplanter 40, and is, for example, the number of three, four, five, eight, ten, and so on. Moreover, 20 C of memory | storage parts can memorize | store a fertilization amount and a seeding amount as operation | work data, when the rice transplanter 40 is mounted | worn with the implementation 17. As shown in FIG.

Further, the storage unit 20C stores the operation data (the amount of transplantation, the amount of fertilization, the amount of seeding) in association with the position (detection position) detected by the position detection device 70C. The storage unit 20C may store the position (correction position) obtained by correcting the position (detection position) detected by the position detection device 70C in association with work data.
Therefore, by working with the rice transplanter 40, it is possible to acquire a plurality of agricultural map data in which each of the transplanted amount, the fertilized amount, and the sowing amount is associated with the position. In the rice transplanter 40, as in the case of the tractor 10 and the combine 30, the operation data such as the vehicle speed, the operation amount of the operation tool, and the number of rotations of the motor 32 are acquired as machine data and the machine data and the position are associated. May be stored in the storage unit 20C.

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

The multicopter 50 also includes an imaging device 50e. The imaging device 50e is configured by an infrared camera or the like, and can capture an image of a field crop.
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 a configuration similar to that of the position detection device 70A, so the description thereof will be omitted.

  The multicopter 50 flies over the field to take an aerial image of the crop on the field, and associates the position detected by the position detection device 70D with the image (captured image) taken by the imaging device 50e with imaging data Do. The imaging data is stored in the storage unit 20D provided in the multicopter 50. The imaging data is data that is converted into growth data by analysis, such as vegetation indicators such as DVI, RVI, NDVI, GNDVI, SAVI, TSAVI, CAI, MTCI, REP, PRI, RSI, and the like. In addition, the storage unit 20D can store, as machine data, operation data such as the number of revolutions of the rotary wing 50c and the flight altitude.

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

  In addition, the soil component data in the soil data of a field is acquired by making the multicopter 50 fly above the field, acquiring a captured image, and analyzing the acquired captured image before planting crops etc. You may do so. In this case, the multicopter 50 can acquire agricultural map data in which the soil data and the position are associated with each other. In addition, when a drug spreader or the like is attached to the multicopter 50, it is possible to obtain a drug spread amount as work data.

  As described above, various data (various agricultural map data) can be acquired as shown in FIG. 4 by an aircraft such as a tractor, a combine, an agricultural machine such as a rice transplanter, or a multicopter. In addition to crop data, soil data, machine data, operation data and position (latitude, longitude), agricultural map data includes time information such as month, day, and time. The time information is, for example, the time when the position detection device 70A, 70B, 70C, 70D detects the position, the machine such as the tractor 10, the combine 30, the rice transplanter 40, and the multicopter 50, crop data, machine data, work data, It is time when soil data was detected.

  In addition to crop data, soil data, machine data, operation data, position, and time information, agricultural map data includes types. The type is information for grasping what kind of data or what kind of map it is. A type is assigned to each data or each map. For example, when the tractor 10, the combine 30, the rice transplanter 40, the multicopter 50, etc. transmit agricultural map data to the agricultural support apparatus 1, the tractor 10, the combine 30, the rice transplanter 40, the multicopter 50, etc. detect data When storing data in the storage units 20A, 20B, 20C, 20D, etc., the type of data or the type of map is assigned by a manual input operation such as a worker or a manager. In addition, after the agricultural support apparatus 1 acquires data, you may allocate the classification of data, or the classification of a map by the input operation in manual, such as a worker or a management. The type of data or the type of map may be automatically assigned. The type of data is called "data type", and the type of map is called "map type". The machine mentioned above is an example, and even if it is made to obtain agricultural map data from machines other than a tractor, a combine, a rice transplanter, and a multicopter, it is not limited well.

  As shown in FIG. 2, the agricultural support apparatus 1 includes a data acquisition unit 2. The data acquisition unit 2 is configured of electric / electronic parts provided in the agricultural support apparatus 1, a program stored in the agricultural support apparatus 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.

  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 communication devices 60A, 60B, 60C, and 60D are communication modules that perform either direct communication or indirect communication with the agricultural support device 1, and, for example, Wi-Fi (Wireless Fidelity, Wireless communication can be performed by a registered trademark, BLE (Bluetooth (registered trademark) Low Energy), LPWA (Low Power, Wide Area), LPWAN (Low-Power Wide-Area Network), or the like. In addition, 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 periodically or irregularly requests the communication devices 60A, 60B, 60C, 60D to transmit agricultural map data. 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 store the storage units 20A, 20B, 20C, 20D according to the request. Are transmitted to the agricultural support apparatus 1 via the communication devices 60A, 60B, 60C, 60D. When the agricultural support apparatus 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, from the communication devices 60A, 60B, 60C, 60D provided in the tractor 10, the combine 30, the rice transplanter 40, and the multicopter 50 to the agricultural support device 1, the storage units 20A, 20B, 20C. Send agricultural map data of 20D. When the agricultural support apparatus 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 apparatus 1 receives the imaging data that is the source of the growth data, the agricultural support apparatus 1 converts the imaging data into the growth data, and then acquires the growth data in the data acquisition unit The data acquisition unit 2 can acquire the agricultural map data corresponding to the growth data by transferring the data to 2.
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 portable terminal 61. The portable terminal 61 is a smart phone, a tablet, a PDA or the like, and stores (stores) the agricultural map data temporarily received when the agricultural map data is received. The data acquisition unit 2 periodically or irregularly requests the portable terminal 61 to transmit the agricultural map data. When the portable terminal 61 receives a request for transmission of agricultural map data, the portable terminal 61 transmits the agricultural map data temporarily stored therein to the agricultural support apparatus 1. When the agriculture support device 1 receives the agriculture map data transmitted from the portable terminal 61, the data acquisition unit 2 receives the agriculture map data. Alternatively, in the case of indirect communication, agricultural map data is transmitted from the portable terminal 61 to the agricultural support device 1. When the agriculture support device 1 receives the agriculture map data transmitted from the portable terminal 61, the data acquisition unit 2 acquires the agriculture map data.

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

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

  As shown in FIG. 2, each of the tractor 10, the combine 30, the rice transplanter 40, and the multicopter 50 has an input / output device 63 to which a storage medium, which is an electronic storage medium such as a USB memory or an SD card, can be connected There is. The input / output device 63 is provided in the tractor 10, the combine 30, the rice transplanter 40, the control device of the multicopter 50, a display device, etc., and can write data to the storage medium and acquire information of the storage medium It 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 portable terminal 61 or the fixed terminal 64, the agricultural map data stored in the storage medium is transferred to the portable terminal 61 or the fixed terminal 64. Agricultural map data is transmitted from the portable terminal 61 or the fixed terminal 64 to the agricultural support apparatus 1. When the agriculture support device 1 receives the agriculture map data transmitted from the portable terminal 61 or the fixed terminal 64, the data acquisition unit 2 receives the agriculture map data.

Therefore, after the agricultural map data is transferred to the portable terminal 61 or the fixed terminal 64 via the storage medium, the agricultural support device 1 receives the agricultural map data transmitted from the portable terminal 61 or the fixed terminal 64, The agricultural map data can be acquired.
In addition, when the portable terminal 61 or the fixed terminal 64 receives the imaging data in the case of using the storage medium, the portable terminal 61 or the fixed terminal 64 may convert the imaging data into growth data. Alternatively, similar to direct communication, the agricultural support device 1 may convert the imaging data into growth data after the agricultural support device 1 receives the imaging data.

The agricultural support device 1 includes a storage unit 3. The storage unit 3 includes a map data storage unit 3A that stores agricultural map data, and a correlation storage unit 3B that stores information related to correlation. The map data storage unit 3A and the correlation storage unit 3B are configured by a non-volatile memory or the like.
When the data acquisition unit 2 acquires agricultural map data, the map data storage unit 3A stores the acquired agricultural map data. As shown in FIG. 5, when agricultural map data is stored in the map data storage unit 3A, management information indicated by characters, alphanumeric characters, etc. is allocated to the agricultural map data, and the agricultural map data is stored together with the management information. . Management information is information set in order to make it easy to perform calculation, search, organization, etc. of agricultural map data. For example, the management information is assigned data items (crop data, soil data, weather data, machine data, work data), information indicating data types or map types. For example, in the management information, the upper three letters and the like indicate the data item, the five digit letters and the like following the data item indicate the data type and the map type, and the 10 digit character following the data type or the map type indicates agriculture It is map data. For example, when it is the data acquired 10th by a growth map, management information turns into "001-004-0000000010."

The agriculture support device 1 includes a display control unit 4 and a data classification unit 7. The display control unit 4 and the data classification unit 7 are configured of electric / electronic parts provided in the agriculture support device 1, a program stored in the agriculture support device 1, and the like.
The display control unit 4 controls the display of the display unit 65 or 66 of either the mobile terminal 61 or the fixed terminal 64 connected to the agricultural support apparatus 1. The display units 65 and 66 are configured by 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 agriculture maps in which a plurality of agriculture map data are visualized.

  The data classification unit 7 classifies a plurality of agricultural map data into crop groups and machine groups. A crop group is a group that belongs to a crop, ie, a group that is directly involved in cultivating a crop. For example, crop data (yield data, component data, growth data), soil data (soil component data), weather data (wind direction, wind speed, temperature, humidity, sunny, cloudy, rain, thunder, snow, rainfall, snowfall, Rainfall probability, air pressure etc., work data (transplantation amount, fertilization amount, drug dispersion amount, sowing amount) are crop groups. The machine group is a group belonging to machines, machine data (harvest machines such as agricultural vehicles, rice transplanters, transplanters, combine harvesters, etc., fertilizer applicators, drug sprayers, seeders, forming machines, grass collectors, spreaders, Operation data of a mower, preparation machine, etc. In other words, when cultivating crops, data other than groups belonging to machines are classified into crop groups.

The data classification unit 7 classifies a plurality of agricultural map data into a crop group and a machine group when executing processing such as display, calculation, analysis of a plurality of agricultural map data. For example, when an agricultural map corresponding to a plurality of agricultural map data is displayed, classification is performed on crop groups and machine groups.
Next, the configurations of the display control unit 4 and the data classification unit 7 will be described in detail.

For example, when the fixed terminal 64 logs in to the agricultural support apparatus 1, a menu screen for selecting a menu or the like is displayed on the display unit 65 of the fixed terminal 64 by the control of the display control unit 4 or the like. The following description will be made by taking the fixed terminal 64 as an example, but it is naturally applicable to the portable 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 apparatus 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 66 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. The first map display unit 81 displays an agricultural map in which the agricultural map data stored in the map data storage unit 3A is visualized. The first map display unit 81 includes a crop map display unit 81A and a machine map display unit 81B. The crop map display unit 81A displays an agricultural map F11 in which agricultural map data belonging to a crop group is visualized. The machine map display unit 81B displays an agriculture map F12 in which agriculture map data belonging to the machine group is visualized. Hereinafter, for convenience of explanation, the thing of agriculture map data which belongs to a crop group is called "crop group data", and the thing of agriculture map data which belongs to a machine group is called "machine group data".

For example, when displaying the agricultural maps F11 and F12 under the control of the display control unit 4, the data classification unit 7 first refers to the map data storage unit 3A, and a plurality of the data stored in the map data storage unit 3A. Agriculture map data is classified into crop group and machine group.
The display control unit 4 converts the crop group data into the agricultural map F11, and displays the converted agricultural map F11 on the crop map display unit 81A. Specifically, the display control unit 4 refers to data such as numerical values and the like in the crop group data and the position (latitude, longitude). On the other hand, the display control unit 4 divides the field in the crop map display unit 81A into a plurality of areas Qn (n = 1, 2, 3,... N) and divides the fields in the crop group data into respective divided areas Qn. An average value obtained by averaging a plurality of input data Gn [i] (n: classification, Gn [i]: data, i: number of data) is set as a representative value Dn (n = 1, 2, 3 ... n) . Alternatively, the display control unit 4 sets, as a representative value Dn, an integrated value obtained by integrating a plurality of data Gn [i] which enter each of the divided areas Qn in the crop group data. Alternatively, the display control unit 4 sets, as a representative value Dn, a numerical value around the area obtained by dividing the average value and the integrated value by the area of the area Qn.

  After obtaining the representative value Dn, the display control unit 4 assigns a plurality of groups (a plurality of ranks) according to the magnitude (value) of the representative value Dn, and changes colors etc. for each rank. Display an agriculture map F11 corresponding to the crop group data. That is, the crop map display unit 81A divides a field indicating a field etc. into a plurality of pieces, and displays a mesh type agricultural map in which data of crop group data is allocated to the area Qn. Moreover, although visualization of the agriculture map F11 with a mesh type map was illustrated in the embodiment mentioned above, the visualized map of the agriculture map F11 is not limited to the example mentioned above.

  In the crop map display unit 81A, a plurality of agricultural maps F11 are displayed vertically or horizontally. In the example of FIG. 6, the other agriculture map F11 can be displayed by sliding the scroll bar. When displaying the agriculture map F11 on the crop map display unit 81A, the display control unit 4 acquires the map type of the agriculture map F11, the data type, and the agriculture map data that is the source of the agriculture map F11 around the agriculture map F11. Display map basic information such as day etc. In addition, basic information (map classification, data classification, acquisition date, etc.) of agriculture map F11 is connected to agriculture support device 1 either of portable terminal 61 and fixed terminal 64, and inputs basic information. Basic information is associated with each map data (management information). The basic information may be automatically generated and associated with the management information, and may be stored in the map data storage unit 3A. There is no limitation on the input method and the association method.

  Similar to the crop group data, the display control unit 4 converts the machine group data into an agriculture map F12, and displays the converted agriculture map F12 on the machine map display unit 81B. Specifically, the display control unit 4 refers to data such as numerical values and the like in the machine group data and the position (latitude, longitude). On the other hand, the display control unit 4 divides the field in the machine map display unit 81B into a plurality of areas Qn, and averages a plurality of data Gn [i] entering each of the divided areas Qn in the machine group data. Is set to the representative value Dn. Alternatively, the display control unit 4 sets, as a representative value Dn, an integrated value obtained by integrating a plurality of data Gn [i] which enter each of the divided areas Qn in the machine group data. Alternatively, the display control unit 4 sets, as a representative value Dn, a numerical value around the area obtained by dividing the average value and the integrated value by the area of the area Qn.

  After obtaining the representative value Dn, the display control unit 4 assigns a plurality of groups (a plurality of ranks) according to the magnitude (value) of the representative value Dn, and changes colors etc. for each rank. An agriculture map F12 corresponding to the machine group data is displayed. That is, the machine map display unit 81B divides the field indicating the field etc. into a plurality of pieces, and displays the mesh type agriculture map in which the data of the machine group data is allocated to the area Qn. Further, in the embodiment described above, the visualization of the agricultural map F12 with a mesh type map is illustrated, but the visualized map of the agricultural map F12 is not limited to the above-described example.

On the machine map display unit 81B, a plurality of agriculture maps F12 are displayed vertically or horizontally. In the example of FIG. 6, it is possible to display another agricultural map F12 by sliding the scroll bar.
When displaying the agriculture map F12 on the machine map display unit 81B, the display control unit 4 acquires the map type of the agriculture map F12, the data type, and the agriculture map data that is the source of the agriculture map F12 around the agriculture map F12. Display map basic information such as day etc. In addition, basic information (map classification, data classification, acquisition date, etc.) of agriculture map F12 connects either of portable terminal 61 and fixed terminal 64 to agriculture support device 1, and inputs basic information. Basic information is associated with each map data (management information). The basic information may be automatically generated and associated with the management information, and may be stored in the map data storage unit 3A. There is no limitation on the input method and the association method.

  According to the above, the agricultural support system and the agricultural support apparatus 1 classify the data acquisition unit 2 for acquiring a plurality of agricultural map data, and the plurality of agricultural map data into a crop group for crops and a machine group for machinery. And a data classification unit 7. According to this, a plurality of agricultural map data on various agriculture can be divided into crop groups related to crops and machine groups related to machines. Then, it is possible to compare the agricultural map data belonging to the crop group with the agricultural map data belonging to the machine. In the prior art, even if a plurality of agricultural map data are collected, the agricultural map data of crop systems are often compared with each other, and it is not possible to find the relationship with machines. For example, even if there is a case where agriculture is analyzed by comparing the yield map with the growth map, there is no idea of comparing the yield map with the travel map, and what kind of influence the movement of the machine has on the crop etc. I can not figure out what I am doing. On the other hand, in the present invention, it is possible to compare crop map agricultural map data such as yield data, component data, growth data, soil component data, meteorological data, work data, etc. with machine data, thereby It is possible to understand the effects of machines on crops that could not have been predicted so far. For example, when the vehicle speed map and the yield map are compared, it can be understood that the yield at a specific vehicle speed is improved compared to other speeds at a specific location.

  In addition, the agricultural support system and the agricultural support device 1 display the agricultural map data (agricultural map) F11 of the crop group classified by the data classification unit 7 and the agricultural map data (agricultural map) F12 of the machine group. . By comparing the agricultural map data (agricultural map) F11 of the crop group with the agricultural map data (agricultural map) F12 of the machine group, it is possible to visually grasp whether or not there is a relationship between the two.

The agricultural support system includes a data selection unit 5 and a correlation operation unit 6. The data selection unit 5 and the correlation operation unit 6 are composed of electric / electronic parts provided in the agricultural support device 1, a program stored in the agricultural support device 1, and the like.
The data selection unit 5 receives the selected crop group data among the plurality of crop group data classified by the data classification unit 7 as first data (crop affiliation data), and is classified by the data classification unit 7 The selected machine group data among the plurality of machine group data is accepted as second data (machine affiliation data).

Specifically, one of the plurality of agriculture maps F11 displayed on the crop map display unit 81A can be selected by the pointer 84. When the display unit 66 is a touch panel, the agricultural map F11 displayed on the crop map display unit 81A may be selected by the selection operation of the operator or the like.
When an arbitrary agriculture map F11 is selected by the pointer 84 or the selection operation in a state where the plurality of agriculture maps F11 are displayed on the crop map display unit 81A, the data selection unit 5 selects the selected arbitrary agriculture The management information of the map F11 is held. That is, the data selection unit 5 holds the management information of one selected agricultural map F11 among the plurality of agricultural maps F11 displayed on the crop map display unit 81A, whereby the crop corresponding to the agricultural map F11 Accept group data as crop affiliation data.

  When an arbitrary agriculture map F12 is selected by the pointer 84 or the selection operation in a state where the plurality of agriculture maps F12 are displayed on the machine map display unit 81B, the data selection unit 5 selects the selected arbitrary agriculture It holds management information of the map F12. That is, the data selection unit 5 holds the management information of one selected agricultural map F12 among the plurality of agricultural maps F12 displayed on the machine map display unit 81B, whereby the machine corresponding to the agricultural map F12 is selected. Group data is accepted as machine assignment data.

When the completion button 85 displayed on the support screen M1 is selected, the reception by the data selection unit 5 is completed, and the data selection unit 5 manages the management information of the held agriculture map F11 and the management information of the agriculture map F12. Are output (notified) to the correlation calculation unit 6.
The correlation operation unit 6 selects one crop affiliation data selected by the data selection unit 5 among the plurality of crop group data and one machine affiliation data selected by the data selection unit 5 among the plurality of machine group data. Calculate the correlation with.

  The correlation operation unit 6 refers to the map data storage unit 3A, and uses the management information of the agriculture map F11 as a search key to extract crop affiliation data from among a plurality of agriculture map data. Further, machine affiliation data is extracted from a plurality of agriculture map data using the management information of the agriculture map F12 as a search key. Here, when the crop affiliation data is Gn [i] 1 and the machine affiliation data is Gn [i] 2, the correlation operation unit 6 determines the crop affiliation data Gn [i] 1 and the machine affiliation data Gn [i] 2 Find the correlation coefficient with Specifically, the correlation operation unit 6 uses the crop affiliation data Gn [i] 1 and the machine affiliation data Gn [i] 2 to calculate a correlation coefficient Cn (n = 1, 2, 3) for each area Qn. ... Determine n). For example, when the number of data in area Q1 (n = 1) is 3 (i = 3), all data of crop genus data Gn [1] 1, G1 [2] 1, G1 [2] 1 and machines are The correlation coefficient with all data of the belonging data G1 [1] 2, G1 [2] 2, G1 [2] 2 is set as the correlation coefficient C1 of the area Q1.

Then, the correlation operation unit 6 obtains the correlation coefficient Cn (n = 1, 2, 3... N) for each area Qn, and then obtains the obtained correlation coefficient Cn as the magnitude of the correlation coefficient Cn A correlation map F2 is created by assigning a plurality of groups (a plurality of ranks) according to the value). The created correlation map F2 is displayed on the support screen M1.
The support screen M1 includes a second map display unit 82. The second map display unit 82 displays a correlation map F2 in which the correlation calculated by the correlation calculation unit 6 is visualized. 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 allocated by the correlation operation unit 6. That is, in the second map display unit 82, the mesh type correlation map F2 in which the correlation coefficient Cn is assigned to the area Qn is displayed by dividing the field indicating the field etc. into a plurality. Although the embodiment described above exemplifies that the correlation map F2 is visualized as a mesh map, the correlation map F2 is not limited to the above-described example.

Further, the second map display unit 82 displays the basic map information (map type, data type, acquisition date, etc.) of the agricultural maps F11 and F12 used to calculate the correlation coefficient Cn, together with the correlation map F2.
As shown in FIG. 6, the support screen M1 may display a setting unit 83. The setting unit 83 is a part that performs various settings regarding the support screen M1. In the setting unit 83, for example, it is possible to input narrowing information of the agriculture maps F11 and F12 displayed on the first map display unit 81. 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 maps F11 and F12 corresponding to the narrowing-down information among the plurality of agricultural maps F11 and F12 may be displayed on the first map display unit 81 (81A, 81B) it can.

  In the setting unit 83, the agricultural map F11 or F12 displayed by the first map display unit 81 and the second map display unit 82, the length of one side of the area Qn in the correlation map F2 (vertical length, horizontal The length (length) can be set, and the threshold (range) of representative values Dn of a plurality of ranks (levels) can be set. The setting unit 83 can change the mesh length and the rank range of the area Qn.

In the above-described embodiment, the correlation operation unit 6 obtains the correlation coefficient Cn for each area Qn from the crop belonging data Gn [i] 1 and the machine belonging data Gn [i] 2, but the crop belonging data Gn [i The correlation coefficient CT of the whole of 1 and machine belonging data Gn [i] 2 may be obtained.
When agricultural map F11 is selected in crop map display unit 81A and agricultural map F12 is selected in machine map display unit 81B, crop affiliation data Gn [i] 1 corresponding to the selected agricultural map F11 is selected. The overall correlation coefficient CT is determined using all the data of the machine belonging data Gn [i] 2 corresponding to the agriculture map F12. For example, when the growth map is selected as the agriculture map F11 in the crop map display unit 81A and the driving rotation map is selected as the agriculture map F12 in the machine map display unit 81B, the crop affiliation data Gn [i] 1 is growth data The machine belonging data Gn [i] 2 is driving rotation data. Here, when the number of data is 10 (i = 10), the correlation operation unit 6 generates the growth data Gn [1] to Gn [10] 1 and the prime mover rotation data Gn [1] to Gn [10]. The overall correlation coefficient CT is determined from all the data of 2 (n: 1 to max). The correlation storage unit 3B associates the management information (001-004-0000000010) corresponding to the growth data Gn [i] 1 with the management information (002-006-0000000035) corresponding to the prime mover rotation data Gn [i] 2. Thus, at least the type (map type, data type) and the overall correlation coefficient CT determined by the correlation operation 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, but as shown in FIG. 7B, the basic information and the overall correlation coefficient are stored. It may be stored in association with CT.
The display units 65 and 66 display the entire correlation coefficient CT stored in the correlation storage unit 3B and the types (map type and data type) of a plurality of agricultural map data 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, a 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, determines 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 the crop group data and the machine group data, and the data type (map type) used to calculate the correlation coefficient CT. For example, it can be grasped whether the relationship between the driving rotation map and the growth map is high or low.
Among the plurality of agricultural map data used to obtain the correlation coefficient, the display units 65 and 66 are types of combinations of types of crop group data and machine group data for which the correlation coefficient CT is equal to or greater than a threshold value. You may display the combination of. For example, as shown in FIG. 8, the correlation display unit 86 of the support screen M2 shows an input unit for inputting the upper limit value and the lower limit value of the correlation coefficient CT. When the upper limit value and lower limit value of the correlation coefficient CT are input, the display control unit 4 refers to the correlation storage unit 3B, and the management information corresponding to the correlation coefficient CT falling between the upper limit value and the lower limit value Search for. After the management information is retrieved, basic information including the type is determined from the management information, and the determined basic information, that is, a combination of types of crop group data and machine group data, and a phase falling between the upper limit and the lower limit Display a list with related numbers CT. According to this, agricultural maps with high correlation can be grasped, and agricultural maps with low correlation can be grasped easily.

In the support screen M2 described above, the correlation coefficient CT between the crop group data and the machine group data, and the type of the crop group data and the machine group data are displayed. As shown in 9, the agriculture maps F11 and F12 corresponding to the crop group data and the machine group data, and the correlation coefficient CT may be displayed.
According to the above, the agricultural support system and / or the agricultural support apparatus 1 includes the correlation operation unit 6 that calculates the correlation between the agricultural map data of the crop group and the agricultural map data of the machine group. Therefore, it is possible to grasp whether the correlation between the agricultural map data of the crop group arbitrarily selected and the agricultural map data of the machine group is high or low from among a plurality of agricultural map data. For example, if there is a high correlation between agricultural map data of an arbitrarily selected crop group and agricultural map data of an arbitrarily selected machine group, items that can be applied to crops by machine operation are used. Can promote the growth of crops.

In addition, the agricultural support system and / or the agricultural support device 1 receives the selected agricultural map data as the first data (the crop affiliation data) among the plurality of agricultural map data belonging to the crop group, and belongs to the machine group The data selection unit 5 is provided which receives selected agricultural map data as second data (machine affiliation data) among a plurality of agricultural map data.
According to this, even if there are various agricultural map data, it is possible to easily select crop-based agricultural map data and mechanical-based agricultural map data, and it is easy to execute processing of both data.

The display units 65 and 66 display the correlation obtained by the correlation calculation unit 6. According to this, only by looking at the correlation shown on the display parts 65 and 66, it is possible to grasp the location where the correlation is strong and the location where the correlation is weak.
It should be understood that the embodiments disclosed herein are illustrative and non-restrictive in every respect. The scope of the present invention is indicated not by the above description but by claims, and is intended to include all modifications within the meaning and scope equivalent to claims.

  For example, when displaying an agricultural map of agricultural map data, an image showing a field etc. and the agricultural map may be superimposed and displayed. The locus of positions of the position detection devices 70A, 70B, 70C when the agricultural machine such as the tractor 10, the combine 30, the rice transplanter 40, etc. travels may be regarded as a "travel locus", and the travel locus may be treated as agriculture map data. When the multicopter 50 performs work such as spraying, the flight trajectory of the multicopter 50 may also be treated as agricultural map data. In this case, the crop data (yield data, component data, growth data) displayed on the crop map display unit 81A, the crop system map F11 in the soil data, and the locus displayed on the machine map display unit 81B (travel locus, flight locus When a locus map (traveling map, flight map) F12 corresponding to) is selected, the cropping system map F11 and traveling map F12 are superimposed and displayed on the support screen under the control of the display control unit 4 The correlation between the two can be confirmed. For example, in the case where the travel map F12 of the combine 30 and the yield map F11 are displayed in an overlapping manner, there is a specific place when the combine 30 passes multiple times, and the specific place which is consolidated by the combine 30 It can be understood that the yield of the place is improved.

DESCRIPTION OF SYMBOLS 1 Agriculture support apparatus 2 Data acquisition part 3 Storage part 3A Map data storage part 3B Correlation storage part 4 Display control part 5 Data selection part 6 Correlation operation part 10 Tractor 11 Vehicle body 12 Prime mover 13 Gearbox 14 Driver's seat 15 Steering device 16 Connection part 17 IMPLEMENT 19 CONTROL DEVICE 20A STORAGE UNIT 20B STORAGE UNIT 20D STORAGE UNIT 30 COMBINATION 31 BODY 32 Prime mover 33 Glen tank 34 Reaper 35 Control unit 36 Measuring device 40 Rice planter 41 Vehicle body 42 Prime mover 43 Transmission 44 Seedling planting Device 45 Seedling stand 46 Control device 50 Multicopter 50a Airframe 50b Arm 50c Rotor 50d Skid 50e Imager 60A, 60B, 60C, 60D Communication device 61 Portable terminal 62 Storage medium 63 Input / output device 64 Fixed terminal 65 Display 66 Display unit 70A Position detection device 70B Position detection device 70C Position detection device 70D Position detection device 81 First map display unit 82 Second map display unit 83 Setting unit 84 Pointer 85 Complete button 86 Correlativity display unit F1 Agricultural map (First map , Selection map)
F2 Correlation Map Qn Area Gn [i] Data Dn Typical Value F1 Agriculture Map (1st Map, Selected Map)
Correlation coefficient per Cn area

Claims (10)

A data acquisition unit for acquiring a plurality of agricultural map data on agriculture;
A data classification unit for classifying the plurality of agricultural map data into a crop group belonging to a crop and a machine group belonging to a machine;
Agricultural support system that is equipped with.   The agricultural support system according to claim 1, further comprising a display unit that displays the agricultural map data of the crop group classified by the data classification unit and the agricultural map data of the machine group.   The agricultural support system according to claim 1 or 2, further comprising a correlation operation unit that calculates a correlation between the agricultural map data of the crop group classified by the data classification unit and the agricultural map data of the machine group.   Among the plurality of agricultural map data belonging to the crop group classified by the data classification unit, the selected agricultural map data is accepted as first data, and a plurality belonging to the machine group classified by the data classification unit The agricultural support system according to any one of claims 1 to 3, further comprising a data selection unit that receives selected agricultural map data as second data among the agricultural map data of. The correlation calculation unit calculates a correlation between first data and the second data,
The agricultural support system according to claim 4, wherein the display unit displays the correlation obtained by the correlation calculation unit. A data acquisition unit for acquiring a plurality of agricultural map data on agriculture;
A data classification unit for classifying the plurality of agricultural map data into a crop group belonging to a crop and a machine group belonging to a machine;
Agricultural support equipment.   The agricultural support apparatus according to claim 6, further comprising a display unit that displays the agricultural map data of the crop group classified by the data classification unit and the agricultural map data of the machine group.   8. The agricultural support apparatus according to claim 6, further comprising a correlation operation unit that calculates a correlation between the agricultural map data of the crop group classified by the data classification unit and the agricultural map data of the machine group.   Among the plurality of agricultural map data belonging to the crop group classified by the data classification unit, the selected agricultural map data is accepted as first data, and a plurality belonging to the machine group classified by the data classification unit The agricultural support apparatus according to any one of claims 6 to 8, further comprising a data selection unit that receives the selected agricultural map data as second data among the agricultural map data of. The correlation calculation unit calculates a correlation between first data and the second data,
The agricultural support device according to claim 10, wherein the display unit displays the correlation obtained by the correlation calculation unit.

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