JP7699984B2 - Agricultural management support method, agricultural management support system, and agricultural management support program - Google Patents

Description

The present invention relates to a farming support method, a farming support system, and a farming support program.

Farm plans have traditionally been decided based on the experience of the farm manager. However, in recent years, the division of labor in farm work has progressed, and it is becoming common for producers to plant and cultivate crops and outsource the harvesting work to other workers. For this reason, large-scale farm managers who own multiple fields may outsource harvesting work to many workers. In such cases, the farm manager must assign each worker a field to harvest. In addition, each worker is often paid according to the yield of the crops they harvest.

JP 2013-254256 A

As a method of allocating work to workers, Patent Document 1 discloses a technology that determines the number of gas cylinders that a delivery person will deliver based on a rank that indicates the number of gas cylinders that the delivery person can deliver in a day. However, the yield that can be harvested in a field varies depending on various factors such as the area, yield per unit area, and area that can be harvested per unit time. For this reason, a worker may be in charge of a field with a low yield despite having high ability, and the compensation for the worker's ability and working time may be low. In this case, the highly capable worker may take on harvesting work for another farmer from the next time, and the farm manager may not be able to secure a highly capable worker.

In view of the above circumstances, one of the objectives of the present disclosure is to allocate farm fields to workers based on the balance between the capabilities of the workers and the yields that the workers will harvest. Other objectives can be understood from the following description and the explanation of the embodiments.

The means for solving the problems will be explained below using the numbers and symbols used in the description of the embodiment of the invention. These numbers and symbols are added in parentheses for reference purposes to show an example of the correspondence between the description of the claims and the description of the embodiment of the invention. Therefore, the description in parentheses should not be interpreted as limiting the scope of the claims.

To achieve the above objective, a farming support method according to one embodiment includes storing a worker capability index representing the capability of a worker to harvest crops using a work device (30) and the expected yields in a plurality of fields (400) where harvesting will be performed. The farming support method also includes determining an assigned field from among the plurality of fields (400) where the worker will harvest, based on the worker capability index and the expected yields. The farming support method also includes outputting allocation information representing the assigned field.

The farming support system (1000) according to one embodiment for achieving the above object includes a data storage unit (150), a field allocation unit (170), and an output unit (175). The data storage unit (150) stores a worker ability index representing the ability of a worker to harvest crops using a working device (30), and the expected yields in multiple fields (400) where harvesting will be performed. The field allocation unit 170 determines an assigned field from the multiple fields (400) where the worker will harvest, based on the worker ability index and the expected yield. The output unit (175) outputs allocation information representing the assigned field.

In one embodiment of the farming support program (320) for achieving the above object, the program causes the calculation device (120) to store a worker ability index representing the ability of a worker to harvest crops using a working device (30) and the expected yield in multiple fields (400) where harvesting will be performed. The farming support program (320) also causes the calculation device (120) to determine an assigned field from among the multiple fields (400) where the worker will harvest, based on the worker ability index and the expected yield. The farming support program (320) also causes the calculation device (120) to output allocation information representing the assigned field.

The above embodiment can assist the agricultural manager in allocating fields so as to balance the capabilities of the workers with the yields that the workers harvest.

FIG. 1 is a configuration diagram of a farming support system according to one embodiment. FIG. 13 is a diagram illustrating allocation information displayed on a terminal according to an embodiment. FIG. 4 is a diagram illustrating a configuration of worker data according to an embodiment. FIG. 2 is a diagram illustrating a configuration of farm field data according to an embodiment. FIG. 2 is a diagram showing functional blocks executed by the farming support system in one embodiment. 1 is a flowchart showing processing by a farming support system in one embodiment.

(Embodiment 1)
A farming support system 1000 according to the present embodiment of the present invention will be described with reference to the drawings. In this embodiment, as shown in Fig. 1, the farming support system 1000 includes a farming support device 100 and a terminal 200. The farming support device 100 is communicatively connected to the terminal 200 and at least one or more work devices 30 via a network 20, for example, the Internet.

The working device 30 is equipped with a positioning device, for example, a GNSS (Global Navigation Satellite System) receiver, and acquires location information indicating the location at each time of movement. The acquired location information is transmitted to the farming support device 100. As shown in FIG. 2, the farming support device 100 determines one or more fields 400 in which each of the multiple working devices 30 should harvest, for example, a first field 400-1, a second field 400-2, and a third field 400-3, based on the stop positions 500 of the multiple working devices 30. For example, after the work for one day is completed, the farming support device 100 notifies each worker who uses each working device 30 of one or more fields 400 in which each worker should harvest the next day, based on the stop positions 500 of the multiple working devices 30. The working device 30 includes any harvesting machine that harvests crops, for example, a harvesting machine dedicated to harvesting crops, a tractor that pulls a harvesting machine, etc.

Here, the farming support device 100 determines one or more fields 400 for the worker to harvest so that the worker can harvest a yield according to his/her ability. Even if the same worker harvests using the same working device 30, the yield that can be harvested per unit time varies depending on the assigned field 400, for example, the shape of the field 400, the yield per unit area, etc. The inventors have found that when the remuneration of the worker is determined according to the yield harvested by the worker, the difference in the assigned field 400 causes inequality in the remuneration of the worker. For this reason, the farming support device 100 assigns one or more fields 400 to the worker so that the more capable the worker is, the higher the yield per unit time. The farming support device 100 outputs assignment information representing the assigned field 400 to the terminal 200. For example, the terminal 200 is a mobile terminal (e.g., a smartphone) used by each worker.

The terminal 200 notifies the worker of the assigned field 400. Each worker uses the terminal 200 to check the field 400 in which to work, and harvests in the assigned field 400 using the work device 30. In this way, the farming support device 100 supports the manager who manages large-scale farming by assigning fields 400 so that each worker is fairly remunerated.

(Configuration of the farming support system)
The configuration of the farming support device 100 included in the farming support system 1000 will be described. As shown in FIG. 1, the farming support device 100 includes an input/output device 110, a calculation device 120, a communication device 130, and a storage device 140. The farming support device 100 is, for example, a computer. Information for the calculation device 120 to execute processing is input to the input/output device 110. The input/output device 110 also outputs the results of the processing executed by the calculation device 120. The input/output device 110 includes various input devices and output devices, including, for example, a keyboard, a mouse, a microphone, a display, a speaker, a touch panel, and the like. The input/output device 110 may be omitted.

The communication device 130 is electrically connected to the network 20 and communicates with each device via the network 20. The communication device 130 transfers operation information acquired from the operation device 30 to the calculation device 120. The communication device 130 also transfers signals generated by the calculation device 120 to the terminal 200. The communication device 130 includes various interfaces, such as a network interface card (NIC) and a universal serial bus (USB).

The storage device 140 stores various data for allocating the fields 400 to the workers, such as worker data 300, field data 310, and farming support program 320. The storage device 140 is used as a non-transitory tangible storage medium for storing the farming support program 320. The farming support program 320 may be provided as a computer program product recorded on a computer-readable storage medium 1, or may be provided as a computer program product downloadable from a server.

As shown in FIG. 3, the worker data 300 stores the work device 30 used by each worker, a worker ability index indicating the ability of each worker, and work information related to the harvest work performed by the worker. The work information includes, for example, work time, yield, unit time yield, unit time yield ratio, and allocation priority. The work time indicates the time during which the worker performed harvest work during a specified period, for example, the current harvest season. The yield indicates the weight of the crop harvested by the worker during the current harvest season. The unit time yield indicates the yield harvested by the worker per unit time and is calculated by dividing the yield by the work time. The unit time yield ratio indicates the ratio of the unit time yield of the target worker to the unit time yield of a reference worker, for example, a worker with a worker ability index of 1.0. The allocation priority indicates the order of the target workers to whom the field 400 is preferentially assigned when the field 400 is assigned.

Here, the current season refers to the period from a specified period ago until the end of harvesting in the field 400 that is currently to be harvested. For example, if harvesting of this crop has started at the present time, and harvesting is taking place in other fields 400 that are to be harvested at the same time, the current season refers to the period from when harvesting begins to when it ends in multiple fields 400 in which this crop is to be harvested. The previous season refers to the harvest season just before the current season. For example, if harvesting is carried out in spring and autumn, and the spring harvest season is the current season, the previous season refers to the harvest period in autumn one year ago.

The field data 310 shown in FIG. 1 represents information about the field 400 where the worker will be working. As shown in FIG. 4, the field data 310 stores the location of the field 400, the field priority, the area, and the expected yield. The location of the field 400 is represented by, for example, latitude and longitude. The field priority represents the priority of harvesting in the target field 400, and is represented by, for example, "High", "Middle", or "Low". A "High" field 400 indicates that it will be harvested before a "Middle" field 400, and a "Middle" field 400 indicates that it will be harvested before a "Low" field 400. For example, the field priority is determined according to the crop type for the next season. For example, the field priority of the field 400 that will be used for cultivation immediately after harvest is set to "High."

The area represents the area of the target field 400, and the expected yield represents the estimated yield per unit area in the target field 400. The area and expected yield are input by a user, such as a worker or manager. The area may also be calculated automatically based on aerial photographs, etc.

The arithmetic device 120 shown in FIG. 1 reads and executes the farm management support program 320 from the storage device 140, and performs various data processing to assign the farm field 400 to the worker. For example, the arithmetic device 120 includes a central processing unit (CPU) and the like.

The computing device 120 reads and executes the farming support program 320, thereby implementing a data storage unit 150, a worker ability determination unit 155, a priority calculation unit 160, a distance calculation unit 165, a field allocation unit 170, and an output unit 175, as shown in FIG. 5. The data storage unit 150 stores worker data 300 and field data 310. The worker ability determination unit 155 calculates a worker ability index for the worker data 300 based on information about harvesting work performed by the worker in the past. The priority calculation unit 160 calculates an allocation priority for the worker data 300 based on the worker ability index and the harvested yield. The distance calculation unit 165 calculates the distance from the working device 30 to the field 400 based on the stopping position 500 of the working device 30 and the position of the field 400. The field allocation unit 170 allocates the field 400 to the worker based on the calculated allocation priority and the expected yield of the field 400. The output unit 175 outputs the field 400 and allocation information representing the allocated field 400.

Next, the configuration of the terminal 200 will be described. As shown in FIG. 1, the terminal 200 includes an input/output device 210, a computing device 220, a communication device 230, and a storage device 240. The terminal 200 includes, for example, a computer, a tablet, a mobile phone, and the like. Information for the computing device 220 to execute processing is input to the input/output device 210. The input/output device 210 also outputs the results of the processing executed by the computing device 220. The input/output device 210 includes various input devices and output devices, and includes, for example, a keyboard, a mouse, a microphone, a display, a speaker, a touch panel, and the like.

The communication device 230 is electrically connected to the network 20 and communicates with each device via the network 20. The communication device 230 transfers information acquired from the farming support device 100 to the calculation device 220. The communication device 230 also transfers signals generated by the calculation device 220 to the farming support device 100. The communication device 230 includes various interfaces, such as a NIC (Network Interface Card) and a USB (Universal Serial Bus).

The storage device 240 stores various data, such as a display program 330, for displaying the allocation information acquired from the farm management support device 100 on the input/output device 210 of the terminal 200. The storage device 240 is used as a non-transitory tangible storage medium for storing the display program 330. The display program 330 may be provided as a computer program product recorded on a computer-readable storage medium 2, or may be provided as a computer program product downloadable from a server. The display program 330 may be provided by being recorded on the storage medium 1.

The arithmetic device 220 reads and executes the display program 330 to perform various data processing to display the allocation information acquired from the farm management support device 100. The arithmetic device 220 includes, for example, a central processing unit (CPU; Central Processing Unit).

When the computing device 220 reads and executes the display program 330, it cooperates with the input/output device 210 to realize the display unit 250 as shown in FIG. 5. The display unit 250 acquires allocation information from the farming support device 100 and displays a display image including the allocation information.

(Operation of the farming support system)
For example, when the farming support device 100 is started, the arithmetic device 120 of the farming support device 100 reads and executes the farming support program 320 to start the processing shown in FIG. 6 which is the farming support method. First, in step S110, the worker capability determination unit 155 realized by the arithmetic device 120 calculates a worker capability index representing the capability of a worker to perform harvesting work based on the work history of harvesting work performed by the worker in the past. For example, the worker capability determination unit 155 calculates the worker capability index based on the harvesting time and yield performed by the worker in the previous or previous period. For example, the worker capability determination unit 155 calculates the worker capability index based on the yield per unit time. This harvesting time represents, for example, the time during which harvesting work is performed within the field 400, and does not include the travel time for traveling between the fields 400.

The worker capability determination unit 155 may also calculate the work capability index based on the performance value, such as horsepower, of the work device 30 used by the worker and the yield of the field 400 previously harvested by the worker. For example, the worker capability determination unit 155 calculates a performance relative value with respect to the performance value of the work device 30 used by another worker. The performance relative value represents, for example, the ratio of the horsepower of the work device 30 of the worker to the horsepower of the work device 30 of the reference worker. The worker capability determination unit 155 also calculates a yield relative value representing the yield of the field 400 harvested by the worker relative to the yield of the field 400 previously harvested by another worker. The work capability index is calculated based on the work area, harvest time, performance relative value, and yield relative value. For example, the worker capability determination unit 155 divides the work area by the harvest time to calculate the work efficiency. The work performance index is calculated by multiplying the calculated work efficiency, the relative performance value, and the relative yield value.

In step S120, the priority calculation unit 160 determines an allocation priority indicating the priority of the workers when allocating the fields 400 based on the work capacity index and the work performance in the current period. The allocation priority is determined so that the lower the unit time yield for the worker capacity index, the higher the allocation priority. First, the priority calculation unit 160 calculates the unit time yield indicating the yield per unit time of the worker based on the work time in the current period during which the worker performed the work and the yield harvested by the worker in the current period. Here, the work time indicates the time from when the worker starts to finish the work minus the rest time, and may include the travel time for moving between the fields 400. For example, in the example shown in FIG. 3, the unit time yield of worker A is 400/40 = 10.0. The unit time yield of worker B is 700/60 = 11.6. The unit time yield of worker C is 600/50 = 12.0.

Next, the priority calculation unit 160 calculates a unit time yield ratio that represents the ratio of the unit time yield of the target worker to the reference unit time yield based on the unit time yield. The unit time yield ratio represents the relative unit time yield among multiple workers. The reference unit time yield represents, for example, the unit time yield of a worker whose worker ability index has a predetermined value, for example, 1.0. The reference unit time yield may also be the average unit time yield of all workers, or may be a value obtained by dividing the total yield by the total work time. The unit time yield ratio is calculated by dividing the unit time yield by the reference unit time yield. For example, in the example shown in FIG. 3, when the reference unit time yield is 10.0, the unit time yield ratio of "Worker A" is 10.0/10.0=1.00. The unit time yield ratio of "Worker B" is 11.6/10.0=1.16. The unit time yield ratio for "Worker C" is 12.0/10.0 = 1.20. Here, the unit time yield ratio represents a relative yield evaluation of the yield relative to the working time, and the greater the yield relative to the working time, the greater the value.

Finally, the priority calculation unit 160 calculates the allocation priority based on the worker capability index, the unit time yield ratio, the work time, and the unit time yield. Since the worker capability index represents the capability of the worker, and the unit time yield ratio represents the evaluation of the yield relative to the work time, when the fields 400 assigned to each worker are under the same conditions, the larger the worker capability index, the larger the unit time yield ratio. Therefore, when the unit time yield ratio is small relative to the worker capability index, the assigned field 400 represents a small yield relative to the work time, and when the unit time yield ratio is large relative to the worker capability index, the assigned field 400 represents a large yield relative to the work time. Therefore, the allocation priority is calculated based on the difference between the worker capability index and the unit time yield ratio, the worker's work time, and the worker's unit time yield. For example, the allocation priority is calculated by multiplying the evaluation value obtained by subtracting the unit time yield ratio from the worker capability index by the work time and the unit time yield. For example, in the example shown in FIG. 3, the allocation priority of "Worker A" is (1.2-1.00) x 40 x 10.0 = 80. The allocation priority of "Worker B" is (1.1-1.16) x 60 x 11.6 = -42. The allocation priority of "Worker C" is (0.9-1.20) x 50 x 12.0 = -180.

The working hours and yield of the current season are acquired, for example, from the working device 30. When the working device 30 stops, for example when the engine is stopped, it transmits operation information indicating the operating status of the working device 30 to the farming support device 100. For example, the working device 30 stores the time when the engine is started as the start time of the work, and stores the time when the engine is stopped as the end time of the work. The working device 30 also measures and stores the yield of the crops harvested in the field 400 at the position measured by the positioning device. The operation information includes various stored information.

The crop yield may also be measured at a harvest facility. When a worker brings the harvested crop to the harvest facility, a measuring device installed at the harvest facility may measure the crop yield and transmit information associating the worker with the measured yield to the farming support device 100.

In step S130 shown in FIG. 6, the distance calculation unit 165 calculates the distance from the working device 30 used by the worker to the field 400. The distance calculation unit 165 detects the working device 30 used by the worker based on the worker data 300 shown in FIG. 3. As shown in FIG. 2, the distance calculation unit 165 acquires the stop position 500 where the detected working device 30 is stopped based on the operation information of the working device 30. In addition, the distance calculation unit 165 acquires the position of the field 400 where harvesting is to be performed based on the field data 310 shown in FIG. 4, and calculates the distance from the stop position 500 to each field 400. The calculated distance may be the straight-line distance from the stop position 500 to each field 400, or the distance of the route when moving from the stop position 500 to each field 400 along the road.

In step S140 shown in FIG. 6, the field allocation unit 170 determines an assigned field for the worker to work on, based on the worker's allocation priority and the expected yield of the field 400. The field allocation unit 170 assigns a field 400 with a large yield per unit time as an assigned field to a worker with a high allocation priority in the worker data 300 shown in FIG. 3. For example, the field allocation unit 170 first selects the worker with the highest allocation priority in the worker data 300 shown in FIG. 3. In the example shown in FIG. 3, the field allocation unit 170 selects "Worker A" with the highest allocation priority.

Next, the field allocation unit 170 selects a field 400 with a high field priority and a large yield per unit time based on the field data 310 shown in FIG. 4 and the distance from the stop position 500 shown in FIG. 2 to the field 400, and allocates the selected field 400 to a worker. For example, the field allocation unit 170 extracts fields 400 that are closer than a predetermined distance from the stop position 500 of the work device 30 used by the selected worker. For example, in the example shown in FIG. 2, the fields 400 included in FIG. 2 are extracted as fields 400 that are closer than a predetermined distance from the stop position 500.

The field allocation unit 170 selects the field 400 with the highest field priority and the largest expected yield from among the extracted fields 400, and allocates the selected field 400 to a worker. Here, when there are multiple fields 400 with the same expected yield, the field allocation unit 170 selects the field 400 with the largest area. This is because a field 400 with a large expected yield and a large area can harvest a large amount per unit time. The allocated field 400 is determined as the allocated field where the worker will harvest. Here, the fields 400 are allocated to the worker within the scope of the worker's work in one day.

In the example of FIG. 4, the field allocation unit 170 first selects "field d", "field c", and "field a" in that order from among the fields 400 with a field priority of "High". Next, a field 400 with a field priority of "Middle" is selected. Finally, a field 400 with a field priority of "Low", for example, "field b" is selected. Here, when "worker A" shown in FIG. 3 can harvest in "field d", "field c", and "field a" in one day, "field d", "field c", and "field a" are assigned to "worker A".

After the field allocation unit 170 determines the field 400 to be assigned to the selected worker, it selects the worker with the next highest allocation priority and assigns the field 400 to the selected worker. In the example shown in FIG. 3, after the field allocation unit 170 determines the field 400 to be assigned to "Worker A", it selects "Worker B" with the next highest allocation priority. The field allocation unit 170 obtains the stop position 500 of the work device 30 used by the selected "Worker B", for example, "Device B", and extracts the fields 400 within a specified distance from the stop position 500. The field 400 is assigned to the worker based on the field priority and expected yield of the extracted field 400.

In step S150 shown in FIG. 6, the output unit 175 outputs allocation information representing the assigned fields assigned to the worker to the terminal 200. For example, the output unit 175 outputs allocation information representing the assigned fields, e.g., "field d", "field c", and "field a", to the terminal 200 of the target worker, e.g., "worker A".

In step S160, the display unit 250 of the terminal 200 displays the allocation information acquired from the farm management support device 100 on the input/output device 210. For example, as shown in FIG. 2, the display unit 250 displays an image showing the stop position 500 where the worker's working device 30 is stopped, and the assigned first field 400-1, second field 400-2, and third field 400-3 on a map. The assigned fields 400, for example, the first field 400-1, second field 400-2, and third field 400-3, are displayed so as to be distinguishable from the other fields 400. For example, the area representing the assigned field 400 is displayed in a color different from the areas representing the other fields 400.

The display unit 250 may also calculate the order in which the working device 30 should perform work based on the stop position 500 and the position of the assigned field 400, and display a work order 510 that indicates the calculated order. For example, the display unit 250 calculates the shortest route that passes through all the assigned fields 400, with the stop position 500 of the working device 30 as the movement start position. The display unit 250 determines the order of the fields 400 that will be passed when moving along the calculated shortest route as the work order 510. In the example shown in FIG. 2, the display unit 250 determines that work will be performed first in the first field 400-1, second in the second field 400-2, and third in the third field 400-3. The display unit 250 displays the work order 510 that indicates the determined order in association with the corresponding field 400.

The worker checks the allocation information displayed on the input/output device 210 of the terminal 200 and harvests in the assigned field 400. In this way, the farming support system 1000 can allocate fields 400 to workers so that each worker can harvest an amount according to their capabilities.

(Modification)
The configuration described in the embodiment is an example, and the configuration can be changed as long as the function is not impaired. The worker capability index shown in FIG. 3 is calculated based on the past work history and the performance value of the working device 30, but is not limited to this example. The worker capability index may be determined by any method as long as it can represent the ability of the worker to perform the work. For example, a user, such as the owner or manager of the field 400, may evaluate the ability of the worker and determine the worker capability index according to the evaluation. The worker capability index may be calculated using the work history from the previous period or earlier and the work history from the current period, or may be calculated using only the work history from the previous period. The worker capability index may be determined only from the performance value of the working device 30 used by the worker.

The example of the allocation priority shown in FIG. 3 shows that the higher the value, the higher the priority, but the lower the value, the higher the priority. For example, the allocation priority may be calculated by multiplying the value obtained by subtracting the worker capability index from the unit time yield ratio by the work time. Also, an example has been shown in which the allocation priority is calculated based on the worker capability index and the work performance for the current period, specifically the work time and yield, but this is not limited to this. The allocation priority may be determined using any method as long as it is determined so that the higher the priority is for a worker with a smaller yield per unit time relative to the work capability index.

In step S140 shown in FIG. 6, the field allocation unit 170 selects the field 400 to be assigned to the worker based on the expected yield per unit area of the field 400 shown in FIG. 4 and the distance between the stopping position 500 of the work device 30 and the field 400, but this is not limiting. The field allocation unit 170 may select the field 400 to be assigned to the worker using any information that affects the yield that can be harvested per unit time. For example, the field allocation unit 170 may assign the field 400 to the worker using the condition of the field 400, such as the shape, slope, etc.

In addition, the field allocation unit 170 extracts fields 400 whose distance from the stop position 500 is shorter than a predetermined distance, and selects a field 400 to be assigned to a worker from the extracted fields 400, but this is not limiting. The field allocation unit 170 may select a field 400 using any method that reduces the distance that the worker travels to the field 400. For example, the field allocation unit 170 may calculate an evaluation of the field 400 based on the distance from the stop position 500 and the expected yield, and assign the field 400 to a worker based on the calculated evaluation of the field 400. For example, the evaluation of the field 400 is determined so that it is higher the shorter the distance from the stop position 500 and the higher the expected yield. The field allocation unit 170 assigns a field 400 with a higher determined evaluation to a worker.

The field allocation unit 170 may also select the fields 400 to be allocated to the worker using the distance between the fields 400. The field allocation unit 170 allocates the fields 400 so that the travel time required to travel between the fields 400 is short. For example, the field allocation unit 170 allocates the fields 400 with a short distance between them to the same worker. The distance between the fields 400 may be calculated by the distance calculation unit 165 in step S130, or may be calculated in advance before starting the process shown in FIG. 6 and stored in the storage device 140.

In addition, the field allocation unit 170 has shown an example of allocating fields 400 to workers in order from the field 400 with the highest field priority shown in FIG. 4, but is not limited to this. The field allocation unit 170 may allocate the fields 400 so that the field 400 with the highest field priority is included in the multiple fields 400 on which multiple workers will work on the same day. For example, the field allocation unit 170 estimates the harvestable area of the field 400 that can be harvested by multiple workers who are scheduled to work on the same day. The field allocation unit 170 selects multiple fields 400 on which work will be performed on the same day based on the estimated harvestable area and the field priority. For example, the field allocation unit 170 selects multiple fields 400 in order from the field 400 with the highest field priority until the total area of the selected fields 400 reaches the harvestable area. The field allocation unit 170 determines which field 400 to allocate to each worker from the multiple selected fields 400 based on the expected yield of the field 400 and the allocation priority of the worker. For example, the field allocation unit 170 allocates fields 400 with the largest yield that can be harvested per unit time to workers with the highest allocation priority.

The field 400 assigned to the worker may be changed by the manager of the field 400. For example, the field assignment unit 170 outputs the assignment information to the manager's terminal 200. The manager checks the assignment information displayed on the terminal 200 and inputs a change operation to change the field 400 assigned to the worker to the input/output device 210 of the terminal 200. Based on the input change operation, the terminal 200 transmits change information indicating the change of the field 400 assigned to the worker to the farming support device 100. Based on the change information, the field assignment unit 170 of the farming support device 100 changes the field 400 assigned to the worker. The output unit 175 outputs the assignment information indicating the changed assigned field 400 to the worker's terminal 200.

The above-described embodiment and modified examples are merely examples, and the configurations described in each embodiment and modified example may be changed or combined as desired without impairing the functions. Furthermore, some of the functions described in the embodiment and modified example may be omitted as long as the necessary functions can be realized. For example, some or all of the processing of the farming support device 100 may be executed by the terminal 200. Also, some of the processing of the terminal 200 may be executed by the farming support device 100. For example, the display unit 250 realized by the farming support device 100 may determine the order of the fields 400 in which the workers should work. In this case, the output unit 175 of the farming support device 100 outputs information representing the determined work order 510 to the terminal 200.

Furthermore, the farming support system 1000 may not include the terminal 200, and may display the allocation information on an external terminal not included in the farming support system 1000. Furthermore, the display unit 250 of the terminal 200 may obtain map information from an external server not included in the farming support system 1000, and display the map information showing the allocation information on a map.

1, 2: Storage medium 20: Network 30: Work device 100: Farming support device 110: Input/output device 120: Calculation device 130: Communication device 140: Storage device 150: Data storage unit 155: Worker ability determination unit 160: Priority calculation unit 165: Distance calculation unit 170: Field allocation unit 175: Output unit 200: Terminal 210: Input/output device 220: Calculation device 230: Communication device 240: Storage device 250: Display unit 300: Worker data 310: Field data 320: Farming support program 330: Display program 400: Field 500: Stop position 510: Work order 1000: Farming support system

Claims (13)

storing a worker ability index representing the ability of a worker to harvest crops using a harvesting implement and an expected yield per unit area in a plurality of farm fields in which harvesting is to be performed;
calculating an allocation priority level that indicates a priority order of the worker to which the assigned field is assigned based on the worker capability index, the working time that the worker has spent harvesting in the current season, and the yield that the worker has harvested in the current season, and that indicates a higher priority order as the yield per unit time is smaller relative to the worker capability index ;
determining the assigned field in which the worker will harvest based on the assignment priority and the expected yield;
outputting allocation information representing the allocated field;
A farming support method comprising : executing the above by a computer . Calculating the allocation priority includes:
Calculating a unit time yield representing a yield per unit time of the worker based on the working time of the worker and the yield harvested by the worker in the current season;
Calculating the allocation priority based on a difference between a ratio of the unit time yield to a standard unit time yield and the worker capability index;
The agricultural management support method according to claim 1, comprising: Determining the assigned field in which the worker will harvest based on the assignment priority and the expected yield,
The farm management support method according to claim 1 or 2 , further comprising: allocating the farm field having a high expected yield to the worker having a high allocation priority. The determining of the assigned field includes:
The farm management support method according to claim 1 , further comprising: determining the assigned field in which the worker will harvest using distances from a stopping position of the work implement to the plurality of fields. The determining of the assigned field includes:
The farm management support method according to claim 1 , further comprising: determining the assigned field in which the worker will harvest using distances between the plurality of fields. The determining of the assigned field includes:
The farm management support method according to claim 4 or 5 , further comprising: determining the assigned field in which the worker is to work so that a distance traveled by the work implement to the assigned field is reduced. The method further includes: storing , by a computer, field priorities representing a priority order of fields in which harvesting should be performed, among the plurality of fields;
The determining of the assigned field includes:
The farm management support method according to claim 1 , further comprising: allocating the fields to the workers in descending order of field priority. The farming support method according to claim 1 , further comprising: determining, by a computer, the worker capability index based on information about past harvesting work performed by the worker. Determining the worker performance index comprises:
The farming support method according to claim 8 , further comprising: determining the worker capability index based on a harvesting time and an area harvested in past harvesting work. Determining the worker performance index comprises:
The farming support method according to claim 8 or 9 , further comprising: determining the worker capability index using a performance value of the work implement used by the worker. The farming support method according to claim 1 , further comprising determining , by a computer, an order in which harvesting work is to be performed in the assigned farm fields. a data storage unit that stores a worker ability index that indicates the ability of a worker to harvest crops using a working implement and an expected yield per unit area in a plurality of farm fields where harvesting is to be performed;
a priority calculation unit that calculates an allocation priority that indicates a priority of the worker to which an assigned field is assigned based on the worker capability index, the working time that the worker has spent harvesting in the current season, and the yield that the worker has harvested in the current season, and that indicates a higher priority as the yield per unit time is smaller for the worker capability index;
a field allocation unit that determines, based on the allocation priority and the expected yield, the assigned field in which the worker will harvest from among the plurality of fields;
an output unit that outputs allocation information representing the assigned field;
An agricultural support system equipped with: storing a worker ability index representing the ability of a worker to harvest crops using a harvesting implement and an expected yield per unit area in a plurality of farm fields in which harvesting is to be performed;
calculating an allocation priority level that indicates a priority order of the worker to which the assigned field is assigned based on the worker capability index, the working time that the worker has spent harvesting in the current season, and the yield that the worker has harvested in the current season, and that indicates a higher priority order as the yield per unit time is smaller relative to the worker capability index;
determining, based on the allocation priority and the expected yield, the assigned field in which the worker will harvest, from among the plurality of fields;
outputting allocation information representing the allocated field;
A farming support program that causes a computing device to execute the above.

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