JP6824350B2 - Field management system - Google Patents

Description

The present invention relates to a field management system that collects and processes information on farm work using a computer network and provides information on an appropriate farm work plan.

The field management system according to Patent Document 1 includes a field database that stores position and shape information of a field on a map, a corrected growth index database that stores corrected growth index data, and work contents based on the types and growth indexes of cultivated crops. It is equipped with a work condition database that stores conditions for determination. Using the information stored in these databases, information that serves as a criterion for agricultural work, such as differences in the distribution of growth in the field, is calculated and displayed visually. The farmer decides the farming work in the field based on the displayed information. The database has a multi-layer structure for each year, and it is possible to utilize the past results of the field for the next farming.

In the farming system according to Patent Document 2, the contents of farming work such as rice planting, fertilization, and harvesting performed for each farming area are recorded including costs, and a plan for the next farming work to be performed based on these actual data. Is output. This farming system can receive data from farming machines working in the field, and data on fertilizer such as fertilizer date and time, fertilizer species (fertilizer type), fertilizer amount, fertilizer cost, etc., and harvest such as yield and taste. Data about is input as actual data. As a result, it is possible to display the actual fertilization value in the selected field and the actual harvest value such as yield and taste.

In the work information sharing system disclosed in Patent Document 3, different agricultural work machines put into the same field can be equipped with a commonly used detachable recording device, and the information recorded in the recording device can be attached to each of them. Can be shared among agricultural work machines. In this system, the traveling speed of the combine harvester during the harvesting operation and the information from the GPS communication unit are associated with each other and recorded in the recording device. Based on the information recorded in this recording device, for example, a work plan is created to reduce the amount of fertilizer applied by the fertilizer applicator at the position where the crop that slows down the traveling speed of the combine is overgrown. In addition, by making the puddling depth shallow when puddling with a tractor, it is possible to suppress excessive accumulation of fertilizer and prevent overgrowth of crops.

JP-A-2007-310436 Japanese Unexamined Patent Publication No. 2014-194653 Japanese Unexamined Patent Publication No. 2014-187954

In the conventional system described above, the recording of information on different agricultural operations performed in the same field is not structured, and when the amount of information to be recorded increases, smooth data processing may become difficult. In particular, in the same field, various types of agricultural work machines are introduced, each of which generates its own work information, links the work information easily and accurately, and evaluates the agricultural crop in the field based on the information. No system is provided.
For this reason, there is a demand for a system that can effectively record and use various work information generated by various agricultural work machines put into the same field.

In the field management system according to the present invention, the field work data recording unit having the field work data generated for each work performed on the field by various agricultural work machines and the field work data for each work have common coordinates. It has a data management unit that manages data at the location.
In addition, the field management system according to the present invention 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 agricultural work machines. A field work data recording unit having a field work layer for each model, a data management unit that manages the field map data and the field work data at a common coordinate position, and farming of the field based on the field work data. It has an evaluation unit for evaluation.

According to this configuration, the field work data of various farm work machines that perform farm work on the field are recorded in the field work layer for each model. Furthermore, since the field work data for each model is managed at the same coordinate position as the field map data recorded in the field map layer, the field work contents of different models at any position or section in the field. Can be read easily and accurately. By using the field work data from various farm work machines that are positionally related to each other, it is possible to perform fine-grained farm work management in which the field is subdivided, and as a result, highly accurate farming evaluation of the entire field becomes possible.

With agricultural work machines, workability, fuel cost, and work time may change depending on how the travel route is taken during work travel. Therefore, it is important for farming to accurately examine the route that the farming machine actually traveled. From this, in a preferred embodiment of the present invention, the field work data includes the traveling locus of the agricultural work machine, and the traveling locus is related to the coordinate position in the field map layer. As a result, the traveling paths of the working machines can be compared and examined accurately and in relation to each other.

In the case of upland farming, the tractor tillage direction (ridge extension direction) has a great influence on the drainage plan.
In addition, when the field is a paddy field, it is necessary to store an appropriate amount of water, so the gradient of the field is important information. Therefore, in one of the preferred embodiments of the present invention, the map data recording unit can record height data at the coordinate position of the field on the field map layer, and the data management unit can record the height data at the coordinate position of the field. The gradient data of the field is generated from the data. In this configuration, since the height data is recorded at the coordinate position of the field, the gradient of the field can be obtained in all directions of north, south, east and west. It is difficult and costly to obtain height data at the coordinate position of such a field by a positioning method from outside the field. However, when determining the height at each position of the field from the equipment operation data (an example of field work data) of the work equipment of the agricultural work machine that runs all over the field, it is practically possible only by processing the data, which is convenient. Is. For example, it is also possible to calculate the height of the field from the movement of the work equipment mounted on the agricultural work machine so that the elevating and rolling can be controlled. Further, when the height measuring instrument is provided in the agricultural work machine and the height data is sequentially acquired along with the running, the height data can be obtained at the coordinate position of the field at a relatively low cost.

In the cultivation of grains such as rice and wheat, a dedicated agricultural work machine is used in a series of operations such as land preparation, sowing or seedling, fertilization, and grain harvesting. Therefore, the agricultural work machines adopted in this field management system basically include tractors, rice transplanters or sowing machines, and harvesters. In such an agricultural work machine, the input time, the traveling route, the work content, etc. in the field differ depending on the model, and useful information can be individually obtained as shown below.

For example, the tractor is introduced at the initial stage of farming, which is the preparation of the field, and often travels around the outer circumference of the field during the work. When the tractor is equipped with satellite navigation equipment or inertial navigation equipment, the outer shape of the field can be obtained from the positioning data indicating the traveling locus acquired during the orbiting of the outer circumference of the field. Therefore, in one of the preferred embodiments of the present invention, the outer shape data of the field is generated based on the running locus included in the field work data generated by the tractor traveling around the outer circumference of the field. The field management system is configured so as to be done.

Rice transplanters and sowing machines determine the planting position of crops such as rice and wheat according to their work running. Therefore, the field work data including the traveling locus of the rice transplanter and the sowing machine becomes the data for calculating the crop planting position, and as a result, the coordinate position on the map of the crop planting position can be calculated. Therefore, in one of the preferred embodiments of the present invention, the field work data includes the crop planting position data generated by the rice transplanter or the seeder running, and the crop planting position. A field management system is configured so that the data is associated with the field according to the coordinate position. This enables fine-tuned farming management for each crop planting position.

The harvester cuts the culm and harvests the grains as the work runs. If this grain yield (yield) is measured in real time along with the work running, the yield associated with the running position, that is, the specific position of the field can be calculated. Taking advantage of this, in one of the preferred embodiments of the present invention, the field work data includes unit running yield data generated in association with the running position when the harvester runs for harvesting work. The field management system is configured so that the unit running yield data is associated with the field according to the coordinate position and the yield per minute section in the field is calculated.

If data on farming can be collected and recorded for each coordinate position of the field, just visualizing the data will be useful reference information for the next farming work plan. If the annual data is statistically processed and visualized, it will be more useful reference information. For this reason, a suitable field management system of the present invention is provided with a farm work plan calculation unit that derives farm work plan information of the field based on the farming evaluation by the evaluation unit. Further, in the field management system according to the present invention, since the field work data recording unit has a field work layer for each model, the farm work plan information includes not only the crop type to be carried out and the farm work execution time but also the farm work machine to be input. Information can also be included. Agricultural work equipment costs account for a large proportion of the total agricultural production costs, and it is convenient for agricultural work equipment to be properly managed.

It is a schematic diagram which shows the basic structure of a field management system. It is a functional block diagram of a control system mounted on an agricultural work machine. It is a functional block diagram of a computer system. It is a schematic diagram which shows an example of agricultural work plan information.

The basic configuration of the field management system according to the present invention will be described with reference to FIG. The field management system is a computer system including a data recording unit 6 having a characteristic database structure. The data recording unit 6 is a layer structure, and is a map data recording unit which is a field map layer for recording field map data, and field work data generated for each work performed on the field by various agricultural work machines. It is equipped with a field work data recording unit, which is a field work layer for each model. In addition, general map data is recorded in advance in the field map layer. Due to the layer structure of the data recording unit 6, the field work data acquired during the work running in the field of the agricultural work machine can be related to the map position of the field, that is, the coordinate position. Therefore, the evaluation unit 70 can perform farming evaluation for the field in units of subdivided field divisions and in units of models by using the field work data related to the coordinate position by the data management unit 60. Is.

In the example shown in FIG. 1, as the agricultural work machine 1, the tractor 1T for preparing the ground for cultivation preparation work, the rice transplanter (or sowing machine) 1P for seedling as the cultivation start work, and the final cultivation work. Combine 1C, which carries out grain harvesting work as a vehicle, has been taken up. These work machines are equipped with a position detection device for their own machine by GPS or the like, and can convert the traveling position into data. Various data generated by the agricultural work machine 1 can be transferred to the data recording unit 6 of the computer system through a wireless data transmission device, a portable memory device, or the like.

When the tractor 1T enters the field and travels around the outermost circumference, the orbital travel position data indicating the travel locus is generated as a part of the field work data, and the model of the data recording unit 6 is generated via the data management unit 60. Recorded in a separate field work layer. The data management unit 60 further applies the orbiting running position data to the above-mentioned general map data to generate field outline data (an example of field map data) indicating the outline of the field to be worked on. Record as outline map data of the field on the field map layer.

Further, when the tractor 1T is provided with a height (elevation) detection function, height data can be generated as a part of field work data. When this height data is related to the coordinate position in the field map layer, the gradient in the field is calculated, so that the gradient data in the field (an example of the field map data) can be recorded in the field map layer. Further, since the work device such as the rotary equipped on the tractor is controlled horizontally (rolling), it is also possible to calculate the gradient data of the field from the control data of the horizontal control.

The seedling planting position can be recorded in the field work layer for each model of the rice transplanter 1P as an example of the crop planting position data from the traveling locus when the rice transplanter 1P is working and the equipment operation data of the seedling planting device. it can. If the fertilizer application operation is also performed during the seedling planting operation, the fertilizer application position can also be recorded in the field work layer for each model of the rice transplanter 1P. Further, since the rice transplanter 1P travels accurately throughout the field, it is possible to create or modify the field outline data of the field from the travel locus data.

The combine 1C used here has a function of being able to measure the grain yield (yield) in real time. Therefore, the data management unit 60 generates unit running yield data in which the running position is associated with the yield at that position from the running locus when the combine 1C is working and the yield measured during the working running. This unit running yield data can be recorded in the field work layer for each model of combine 1C as one of the field work data. The recorded unit running yield data is associated with the field map data by the coordinate position.
Therefore, the evaluation unit 70 can output the micro plot yield distribution of the field from the yield per micro plot in the field. From the micro plot yield distribution, good plots with better than average yields and poor plots with worse than average are determined. As a result, the farm work plan calculation unit 7 can generate and output fine-grained farm work plan information such as reduction of fertilizer drop in excellent plots and increase of fertilizer drop in poor plots.

Further, the agricultural work plan calculation unit 7 generates agricultural work plan information based on the data recorded in the data recording unit 6 and the evaluation information output from the evaluation unit 70. It is preferable that the farm work plan information serves as guidance for guiding the farm work to the farmer who is the user. There are various forms of agricultural work plan information, such as a format such as a work schedule, a format such as a work list that lists work items, a format that shows a comparison with conventional agricultural work, and a format that uses icons. Formats, or combinations of such formats, can be adopted. Specific examples of agricultural work plan information as guidance are listed below.
(1) Evaluate the work travel locus of the tractor in units of farming period (for example, annually), and propose the optimum tillage direction.
(2) From the actual working time of the farming machine in each field, we propose the loading time and loading time of the farming machine.
(3) The standby position of the grain transporter is proposed based on the work travel route of the combine and the expected yield.
(4) Propose a water supply / drainage plan for paddy fields with reference to the gradient data of the fields.
(5) Considering the work travel locus (planting strip pattern) of the rice transplanter that determines the planting row, the work traveling route (cutting strip pattern) of the combine that determines the harvesting strip is proposed.

In the example of FIG. 1, the information recorded in the data recording unit 6 via the data management unit 60 is sent from various agricultural work machines 1. Of course, it is also possible to record the information from the device other than the agricultural work machine 1 in the data recording unit 6. For example, it is also possible to record image information and environmental observation information acquired by a remote-controlled or autonomously controlled quadcopter or multicopter called a drone in the data recording unit 6. From this image information, it is possible to generate growth data showing the growth state of crops in small plot units in the field through image processing. Environmental observation information such as climate is useful information for predicting fertilization time and harvest time. In addition, when comparing information in different regions, it is expected that the comparison accuracy will be improved if the environmental conditions and the like are normalized using the environmental observation information.

Next, one specific embodiment of the field management system according to the present invention will be described with reference to FIGS. 1 and 2. The field management system here also uses the data recording structure (layer structure) in the data recording unit 6 and the contents of the data processing by the data management unit 60 described with reference to FIG. The core component of this field management system is a server-client type or cloud type computer system 5 jointly used by a plurality of registered farmers. Various data are sent to the computer system 5 as field work data for each model from the farm work machine that performs farm work in the field of each farmer. Each farmer can receive the farm work plan information sent from the computer system 5 by using the terminal device owned by each farmer.

FIG. 2 is a functional block diagram showing a functional unit according to the present invention, which is constructed in the control unit 10 of the combine 1C as an example of the agricultural work machine 1 introduced in this field management system. The combine 1C includes a crawler-type traveling device 101, a working device 102 such as a cutting device and a threshing device, a yield measuring device 103 that measures the yield of harvested grains at the time of harvesting, and a taste that measures the taste of the grains at the time of harvesting. It is provided with a measuring device 104 and a sensor group 105 for detecting the state of each device of the combine.

The control unit 10 includes a traveling ECU 11 that controls the traveling device 101, a working ECU 12 that controls the working device 102, a device state detection ECU 13 that processes a detection signal from the sensor group 105, a GPS unit 14 that detects the position of the own machine, and a yield. A measurement ECU 15 that processes measurement signals from the measurement device 103 and the taste measurement device 104 is provided. Further, an information generation unit 2 and an information communication unit 16 are provided to send field work data to the computer system 5. The work ECU 12, the device state detection ECU 13, the GPS unit 14, the measurement ECU 15, the information generation unit 2, and the information communication unit 16 are connected to each other via an in-vehicle LAN or other data transmission line.

The information generation unit 2 includes a work basic data generation unit 21, a traveling locus data generation unit 22, a model-dependent data generation unit 3, and a field work data generation unit 20. The work basic data generation unit 21 generates basic information of the carried out agricultural work such as the work content, the work date and time, the field ID of the work field, and the fuel consumption. The travel locus data generation unit 22 processes the position (positioning data) of the own machine acquired from the GPS unit 14 in a timely manner, and generates travel locus data indicating the travel locus during work. The model-dependent data generation unit 3 generates data depending on the model of the agricultural work machine 1. For example, in this combine 1C, the model-dependent data generation unit 3 generates yield data indicating the yield related to the position of the own machine based on the data from the measurement ECU 15, and the data from the measurement ECU 15 and the yield data generation unit 31. A taste data generation unit 32 and the like that generate taste data indicating the taste associated with the position of the own machine based on the above are included.

The field work data generation unit 20 generates field work data by combining the data generated by the work basic data generation unit 21, the traveling locus data generation unit 22, the machine-dependent data generation unit 3, and the like. The generated field work data is sent to the computer system 5 via the information communication unit 16.

FIG. 2 shows a functional block using the combine harvester 1C as an example of the agricultural work machine 1, but the basic contents are the same for other models such as the rice transplanter 1P and the tractor 1T. The main different functional unit is the machine-dependent data generation unit 3 as shown by the dotted line in FIG. When the agricultural work machine 1 is a rice transplanter 1P, the model-dependent data generation unit 3 is formed as a seedling planting data generation unit 33 and a fertilization data generation unit 34. The seedling planting data generation unit 33 generates data on the seedling planting amount, the seedling planting depth, and the inter-strain and inter-row data in the seedling planting operation. The fertilizer application data generation unit 34 generates data regarding the fertilizer application amount (fertilizer application distribution) associated with the position of the own machine. When the agricultural work machine 1 is a tractor 1T equipped with a tillage device, the model-dependent data generation unit 3 is formed as a tillage data generation unit 35. The tillage data generation unit 35 generates data such as the tillage depth and the horizontal control amount of the tillage device in association with the position of the own machine.

FIG. 3 shows a functional block portion of the computer system 5 of this field management system. The computer system 5 receives field work data for each model from the control unit 10 of the tractor 1T, the rice transplanter 1P, and the combine 1C, which are agricultural work machines 1, and is a user terminal (personal computer or tablet computer) owned by a farmer or a farmer. And smartphones) 100 to send farm work plan information.

The computer system 5 basically includes an information input unit 51, an information output unit 52, a data recording unit 6, a data management unit 60, an evaluation unit 70, and an agricultural work plan calculation unit 7. The information input unit 51 transfers the field work data sent from the agricultural work machine 1 into the system. The information output unit 52 sends the internally generated agricultural work plan information to the user terminal 100.
The farmer formulates an actual farm work plan based on the farm work plan information sent.

The data recording unit 6 is a database configured as a layer structure, and includes a field information recording unit 61 that functions as a map data recording unit, a field work recording unit 62 for each model that functions as a field work data recording unit, and agricultural environment information. It includes a recording unit 63 and an agricultural work plan recording unit 64.
The field information recording unit 61 is divided into a field basic data unit 611 and a field map data unit 612. The field basic data unit 611 records field attribute data such as the field name and the field owner. The field map data unit 612 records field map data in which the maps of the fields of the farmers participating in this field management system are integrated with the standard map data, and the outer shape of each field is defined by the map coordinates. can do. Any position in the field can be defined by map coordinates.

In this embodiment, the field work recording unit 62 for each model, which functions as a field work data recording unit, includes a tractor work data unit 621 that records field work data of the tractor 1T and a rice transplanter that records the field work data of the rice transplanter 1P. It is divided into a work data unit 622 and a combine work data unit 623 that records field work data of the combine 1C. The structure for recording the field work data of each agricultural work machine 1 in the field work recording unit 62 for each model has a layer structure based on the field map. For example, the tractor's own machine position data recorded in the tractor work data unit 621 is a own machine position data group recorded in the running order (time order) in the coordinates of the field map, and the running locus is directly obtained from this data. It can be derived. Further, the outer shape of the field can be derived by processing the own machine position data indicating the traveling locus when the tractor 1T orbits the outer circumference of the field (either the orbiting work running or the orbiting non-working running). it can. Such field outline data is recorded in the field map data unit 612. Further, when the tractor 1T is equipped with a measuring device capable of measuring the altitude (field height), the height of the field position at the own machine position during traveling can be recorded. From such height data, the data management unit 60 can generate contour lines of the field, and as a result, gradient data, and the generated gradient data can also be recorded in the field map data unit 612.

It is also possible to relate the planting position of the crop to the own machine position data representing the traveling locus of the rice transplanter 1P recorded in the rice transplanter work data unit 622. When such a crop planting position is recorded, for example, the seedling planting amount can be easily related to the planting position, and the distribution of the seedling amount in the field can be evaluated.

It is also possible to relate the yield data measured in real time at the time of harvesting to the own machine position data representing the traveling locus of the combine 1C recorded in the combine work data unit 623. In this way, the unit yield, for example, the yield per minute plot, can be easily derived from the yield data associated with the own machine position data (coordinate position on the field map).

Since the field work recording unit 62 for each model adopts a field work layer structure in which field work data of each model is recorded using the same coordinate position as the field map based on the field map, it can be specified in a specific field. The work state and distribution of work results by the farm work machine 1 can be easily derived, and the farming evaluation is possible. Furthermore, if such a field work layer is configured according to the growing period or year, the time-dependent fluctuation of the work state and the distribution of the work result by the specific agricultural work machine in the specific field can be easily derived, and the farming evaluation can be performed. Can be used for. Application programs for such various farming evaluations are incorporated in the evaluation unit 70.

For example, the farm work plan calculation unit 7 compares the farming evaluation data indicating the farming evaluation by the evaluation unit 70 with the corresponding past data and reference data in response to the request of each farmer, and includes the comparison result. Generate agricultural work plan information. The generated agricultural work plan information is transmitted to the user terminal 100 through the information output unit 52, and is visualized on the user terminal 100 side by a monitor display or a printout. The farmer makes a final farm work plan while looking at the visualized farm work plan information.

Next, a configuration example of specific agricultural work plan information will be described with reference to FIG. FIG. 4 schematically shows past actual farm work plan information received by a specific farmer to access the computer system 5 and formulate a farm work plan in a field having a field ID “25600”. There is.

Agricultural work plan information includes "field ID", "field name", "area", "area", etc. as field basic information, and further, "field ID" is a large number obtained by subdividing the field. The micro-partition information of is linked. The micro-compartment information includes a "micro-compartment ID" and a "coordinate value". The field work data generated by the agricultural work machine 1 and assigned to the micro plot is linked to the "micro plot ID", and the "seedling planting amount", "base fertilizer amount", and "base fertilizer amount" are linked to this field work data. "Additional fertilizer amount", "yield", "taste", etc. are included.

Further, the "field ID" is linked to the field work data for each agricultural work machine, here, the field work data of the tractor 1T, the rice transplanter 1P, and the combine 1C, and the field work data includes "work content". , "Date and time of implementation", "Working time", "Fuel consumption", etc. are included. The farmer refers to the farm work plan information having such contents sent to the user terminal 100, and formulates a farm work plan for the next farm work.

[Another Embodiment]
(1) In the above-described embodiment, the tractor 1T, the rice transplanter 1P, and the combine 1C are taken up as the agricultural work machine 1, but other agricultural work machines 1 may be added, or the tractor 1T, the rice transplanter 1P, and the combine 1C may be added. Only one or two of them may be used. The division of each agricultural work machine is not limited to the above. For example, by equipping the tractor 1T with a seeding implant (seeder), the tractor 1T can generate planting position information, so that the planting position information can be received from the tractor 1T.
(2) In the above-described embodiment, the computer system 5 is used jointly by a plurality of farmers, but is used standalone, targeting only a single farm or a single field. Computer system 5 may be used. In particular, when used by a single farmer, a personal computer, a tablet computer, or a smartphone is suitable as the computer system 5.
(3) In the above-described embodiment, the computer system 5 is installed in only one place, but it is installed in a plurality of places, and each computer system 5 is accessed from the user terminal 100 to obtain field work data for each agricultural work machine. It may be configured to transmit and receive agricultural work plan information.

The field management system according to the present invention can be applied not only to grain cultivation such as rice cultivation and wheat cultivation, but also to vegetable cultivation and fruit cultivation.

1: Agricultural work machine 1C: Combine 1P: Rice transplanter 1T: Tractor 2: Information generation unit 3: Model-dependent data generation unit 5: Computer system 6: Data recording unit 7: Agricultural work plan calculation unit 10: Control unit 11: Traveling ECU
12: Work ECU
13: Equipment status detection ECU
14: GPS unit 15: Measurement ECU
16: Information and communication unit 20: Field work data generation unit 21: Work basic data generation unit 22: Travel locus data generation unit 31: Yield data generation unit 32: Taste data generation unit 33: Seedling planting data generation unit 34: Fertilization data Generation unit 35: Tillage data generation unit 51: Information input unit 52: Information output unit 60: Data management unit 61: Field information recording unit (map data recording unit)
62: Field work recording unit by model (field work data recording unit)
63: Agricultural environment information recording unit 64: Agricultural work plan recording unit 70: Evaluation unit 100: User terminal 101: Traveling device 102: Working device 103: Yield measuring device 104: Taste measuring device 105: Sensor group 611: Field basic data unit 612 : Field map data unit 621: Tractor work data unit 622: Rice transplanter work data unit 623: Combine work data unit

Claims (10)

A field work data recording unit that has field work data generated for each work performed on the field by various agricultural work machines.
A field management system including a data management unit that manages the field work data for each work at a common coordinate position. Equipped with a map data recording unit that has field map data
The field management system according to claim 1, wherein the data management unit manages the field map data and the field work data at a common coordinate position. The field management system according to claim 2, wherein the field work data includes a traveling locus of the agricultural work machine, and the traveling locus is related to a coordinate position in the field map data. The map data recording unit can record height data at the coordinate position of the field in the field map data, and the data management unit generates gradient data of the field from the height data according to claim 2 or The field management system according to 3. The field management system according to claim 4, wherein the height data is generated from equipment operation data of the agricultural work machine. The field management system according to any one of claims 1 to 5, wherein the agricultural work machine includes a tractor, a rice transplanter or a sowing machine, and a harvester. The field management system according to claim 6, wherein the outer shape data of the field is generated based on the traveling locus included in the field work data generated by the tractor traveling around the outer circumference of the field. The field work data includes crop planting position data generated by the rice transplanter or the sowing machine running, and the crop planting position data is related to the field by coordinate position. The field management system according to 7. The field work data includes unit running yield data generated in association with the running position when the harvester runs the harvesting work, and the unit running yield data is related to the field by the coordinate position, and the field is related to the field. The field management system according to any one of claims 6 to 8, wherein the yield per micro plot is calculated. The field management system according to any one of claims 1 to 9, further comprising a data recording unit that records at least one of the image information of the field and the environmental observation information of the field acquired by the drone.

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