Assistance device, assistance method, and program

Abstract

To provide a technique that enables easy grasping of the state of work at a farm field.SOLUTION: An assistance device is provided, comprising an acquisition unit for acquiring time-series data of location information including at least either of a point or range where a worker is located in a farm field, an estimation unit configured to calculate time of stay or moving speed of the worker on the basis of the time-series data of the location information and estimate a degree of achievement of a given task being done by the worker in the farm field on the basis of the time of stay or moving speed of the worker, and an output unit for outputting the degree of achievement of the given task.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present invention relates to an assistance device, an assistance method, and a program. [Background technology]

[0002] For example, Patent Document 1 discloses an agricultural management system for estimating a harvesting position where a worker has harvested agricultural crops. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2020-25474 A Summary of the Invention [Problem to be solved by the invention]

[0004] In many cases, multiple workers work simultaneously to harvest crops in a short period of time in a farm field. It is difficult to visually determine whether a crop has been harvested or not. For example, when a worker finishes the work assigned to him / her and tries to help with another work, he / she searches for the unharvested area of ​​the crop. In this case, the worker visually checks the fruit parts of the crop in order, so it takes time to determine the unharvested area of ​​the crop, and there is a possibility of time loss or crops being missed. Crops grow quickly, and if the crop is forgotten to be harvested for one day, the crop may not be able to be shipped. In addition, in summer, crop harvesting work can often only be done in a short time period, such as during the cooler hours. In addition, not only for crop harvesting work, but also for other work, it takes time to determine the unharvested area of ​​the field. Therefore, it is desirable to be able to easily grasp the work situation in the field.

[0005] The present invention has been made in consideration of the above-mentioned circumstances, and an object of the present invention is to provide a technique that makes it possible to easily grasp the work situation in a farm field. [Means for solving the problem]

[0006] A support device according to one aspect of the present invention is a support device including: an acquisition unit that acquires time-series data of location information including at least one of a point and a range where a worker is located in a field; an estimation unit that calculates the stay time or movement speed of the worker based on the time-series data of the location information, and estimates the achievement level of a predetermined task performed by the worker in a predetermined area of ​​the field based on the stay time or the movement speed of the worker; and an output unit that outputs the achievement level of the predetermined task in the predetermined area. According to the support device, the status of the predetermined task performed by the worker in the field can be easily grasped. For example, the worker can be saved from the trouble of searching for a predetermined area where the achievement level of the predetermined task is low, and the work efficiency of the worker can be improved and time loss can be suppressed. In addition, when a plurality of workers perform a predetermined task in a field, the plurality of workers can easily grasp the status of the predetermined task in the field and can share the status of the predetermined task in the field among the plurality of workers. Therefore, the work efficiency of the plurality of workers can be improved and time loss can be suppressed.

[0007] In the above support device, the estimating unit may estimate the degree of achievement of the predetermined task in a predetermined area of ​​the field, or may estimate the degree of achievement of the predetermined task for each of a plurality of the predetermined areas in the field, and the output unit may output the degree of achievement of the predetermined task for the predetermined area, or may output the degree of achievement of the predetermined task for each of the plurality of the predetermined areas. In the above support device, the estimating unit may estimate the degree of achievement of the predetermined task for each of a plurality of divided areas obtained by dividing the predetermined area of ​​the field into a plurality of divided areas, and the output unit may output the degree of achievement of the predetermined task for each of the plurality of divided areas. The support device may output the achievement level of the predetermined task to a storage device. In the support device, the estimation unit may calculate the achievement level of the predetermined task based on the stay time or the movement speed of the worker and a judgment criterion. The support device may include a storage unit in which work results related to the predetermined task are stored for each of the multiple workers, and the estimation unit may calculate the stay time or the movement speed of the worker based on the time series data of the position information, and estimate the achievement level of the predetermined task based on the stay time or the movement speed of the worker and a weighting coefficient calculated from the work results of each of the multiple workers stored in the storage unit. The support device may include a storage unit in which harvest results of crops in the field are stored, and the estimation unit may calculate the stay time or the movement speed of the worker based on the time series data of the position information, and estimate the achievement level of the predetermined task based on the stay time or the movement speed of the worker and a weighting coefficient calculated from the harvest results stored in the storage unit. In the support device, the estimation unit may calculate the stay time or the movement speed of the worker based on the time-series data of the position information, generate a learning model by performing machine learning using the stay time or the movement speed of the worker, and estimate the completion level of the predetermined task based on the stay time or the movement speed of the worker and the learning model. The completion level of the predetermined task can be estimated more accurately.

[0008] In the above support device, the estimation unit may estimate the accuracy of the degree of completion of the predetermined task, which is estimated based on the staying time or the moving speed of the worker and the learning model, based on correct answer data, and the output unit may output the accuracy of the degree of completion of the predetermined task. The accuracy of the degree of completion of the predetermined task may be calculated using positive and negative numerical values, ranks, and levels. The positive and negative numerical values ​​may be expressed in percentages or fractions.

[0009] In the support device, the degree of achievement of the predetermined task and at least one of a map, a figure, and an image of the field may be displayed on a display unit. In the support device, the degree of achievement of the predetermined task and at least one of a map, a figure, and an image of the field may be displayed on a display unit, and the display unit may display the predetermined area and the degree of achievement of the predetermined task in association with each other, or may display the degree of achievement of the predetermined task in association with each of a plurality of the predetermined areas. In the support device, the degree of achievement of the predetermined task and at least one of a map, a figure, and an image of the field may be displayed on a display unit, and the display unit may display the degree of achievement of the predetermined task in association with each of a plurality of the divided areas. By visually checking the display unit, a worker can grasp the work status in the field in real time.

[0010] In the above-mentioned support device, the predetermined task may be a harvesting task of a crop performed by the worker in the farm field. The status of the harvesting task of the crop can be easily grasped. For example, the worker can save the trouble of searching for a predetermined area with a low degree of accomplishment of the harvesting task among a plurality of predetermined areas, thereby improving the efficiency of the harvesting task by the worker and preventing loss of time.

[0011] An assistance method according to one aspect of the present invention is an assistance method comprising the steps of acquiring time series data of location information including at least one of a point and an area in a field where a worker is located, calculating a stay time or movement speed of the worker based on the time series data of the location information, and estimating a degree of completion of a specified task performed by the worker in a specified area of ​​the field based on the stay time or movement speed of the worker, and outputting the degree of completion of the specified task in the specified area.

[0012] A program according to one aspect of the present invention includes a step of causing a computer to acquire time series data of position information including at least one of a point and an area in a field where a worker is located, and a step of calculating a stay time or a movement speed of the worker based on the time series data of the position information, and calculating a front end of a predetermined area of ​​the field based on the stay time or the movement speed of the worker. The program is for executing a step of estimating a degree of completion of a predetermined task performed by a worker, and a step of outputting the degree of completion of the predetermined task in the predetermined area. Effect of the Invention

[0013] According to the present invention, it is possible to provide a technique that makes it possible to easily grasp the work situation in a farm field. [Brief description of the drawings]

[0014] [Figure 1] FIG. 1 is a block diagram showing the configuration of the support system. [Diagram 2] FIG. 2 is a flowchart showing an example of the operation of the support device. [Diagram 3] FIG. 3 is a diagram showing an example of a screen displayed on the display device. [Figure 4] FIG. 4 is a diagram showing an example of a screen displayed on the display device. [Diagram 5] FIG. 5 is a diagram showing an example of a screen displayed on the display device. [Figure 6] FIG. 6 is a diagram showing an example of a screen displayed on the display device. [Figure 7] FIG. 7 is a diagram showing an example of a display device installed in a farm field. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0015] Hereinafter, application examples and embodiments will be described with reference to the drawings. The application examples and embodiments described below are aspects of the present application and do not limit the scope of the present application.

[0016] <Application Examples> The present invention can be applied to, for example, the support system shown in Fig. 1. Fig. 1 is a block diagram showing the configuration of the support system. The support system is a system that supports workers who work in a field (farm), which is an example of a workplace for agriculture and the like. The workers perform cultivation work on crops (plants) in the field. Types of cultivation work for crops include, but are not limited to, leaf removal, flower removal, bud removal, training, leaf removal, bud removal, top removal, watering, top dressing, pesticide spraying, and harvesting.

[0017] <Embodiment> A support system according to an embodiment will be described. As shown in Fig. 1, the support system includes a support device 1 and a display device 2. The support device 1 includes a control unit 10, a storage unit 20, and a communication unit 30. The control unit 10 controls each operation of the support device 1. The control unit 10 is configured to include an acquisition unit 110, a determination unit 120, an estimation unit 130, and an output unit 140.

[0018] The control unit 10 includes a CPU (Central Processing Unit) and a RAM (Random Access Memory ), a ROM (Read Only Memory), etc., and controls each part of the control unit 10 and performs various processes. The storage unit 20 stores programs executed by the control unit 10 and various data used in the processes executed by the control unit 10. For example, the storage unit 20 may be an auxiliary storage device such as an HDD (Hard Disk Drive) or an SSD (Solid State Drive). The storage unit 20 may be realized by a removable storage medium. The communication unit 30 is a communication interface that executes communication with an external device. The communication unit 30 includes a wired communication module and / or a wireless communication module. The display device 2 is a display device such as a display that displays various images and data. The display device 2 may have an input device such as a touch panel. The display device 2 is an example of a display unit.

[0019] Not all of the components of the support device 1 shown in FIG. 1 are essential, and the components of the support device 1 may be added or deleted as appropriate. For example, the support device 1 may have an input device such as a mouse or a touch panel. At least some of the functions of the support device 1 may be realized by a computer on the cloud. The support device 1 and the display device 2 may be configured as an integrated unit, or may be configured separately. The support device 1 is, for example, For example, it may be realized by distributed computing using a plurality of computer devices, or some of the functional units may be realized by a cloud server. Also, some of the functional units of the support device 1 may be realized by a dedicated hardware device such as an FPGA or an ASIC.

[0020] (Example of operation of the support device) FIG. 2 is a flowchart showing an example of the operation of the support device 1. An example of the operation of the support device 1 will be described with reference to the flowchart of FIG. 2. In step S11, the acquisition unit 110 acquires time series data of position information of a worker who performs crop harvesting work in a field. When there are multiple workers in a field, the acquisition unit 110 acquires time series data of position information of the multiple workers based on the position information of each worker. The position information is, for example, a coordinate value indicating the position where the worker is present. The coordinate system of the position information may be a sensor coordinate system or a global coordinate system. In addition, the coordinate system of the position information may be a two-dimensional coordinate system indicating a position in a plane. The position information of the worker may include at least one of a point where the worker is located in the field and a range where the worker is located in the field. The acquisition unit 110 may acquire at least one of a point where the worker is located in the field and a range where the worker is located in the field as the position information of the worker.

[0021] When a person or animal other than the worker is present in the field, the acquisition unit 110 distinguishes between the worker and the person or animal other than the worker based on the location information of the worker, and acquires time series data of the location information of the worker. The acquisition unit 110 may identify the worker based on the characteristics of the worker. Examples of the characteristics of the worker include the face, clothing, and a tag worn by the worker. The acquisition unit 110 may identify the worker by communicating with a device carried by the worker. The acquisition unit 110 may also determine in which of the multiple cultivation areas the worker is staying, using a work plan (worker's schedule) and work results managed in the storage unit 20 or on the cloud. The cultivation area is an area in the field where crops are cultivated, and is, for example, a partitioned area such as a ridge or a field. The field may have one cultivation area or multiple cultivation areas. The cultivation area may be composed of multiple areas (ridges, fields, etc.) or may be composed of one area (ridges, fields, etc.). The cultivation area is an example of a predetermined area. An example of a process for acquiring the position information of a worker is described below.

[0022] (Acquisition process 1) The acquisition unit 110 may acquire captured images (image data) of the field, and may acquire the position information of the worker based on the captured images. The captured images may be moving images or still images. The acquisition unit 110 may acquire time series data of the worker's position information based on the moving images. The acquisition unit 110 may acquire time series data of the worker's position information based on still images captured at predetermined intervals by a capture device. The captured images may be images captured by a fixed camera (capturing device) installed in the field. The captured images may be satellite photographic images or aerial photographic images. The captured images may be images captured by a camera installed on an airborne vehicle such as a drone. The acquisition unit 110 may determine in which of a plurality of cultivation areas the worker is staying based on the captured images. The acquisition unit 110 may also acquire position information of buildings and the like in the field based on the captured images.

[0023] (Acquisition process 2) The acquisition unit 110 may acquire measurement values ​​(sensor data) measured by a sensor installed in the field, and acquire the position information of the worker based on the measurement values. The acquisition unit 110 may continuously acquire the measurement values, and acquire time series data of the position information of the worker based on the continuously acquired measurement values. The acquisition unit 110 may acquire measurement values ​​at predetermined intervals, and acquire time series data of the position information of the worker based on the measurement values ​​acquired at the predetermined intervals. The sensor is The sensor is a device for sensing the position of a worker in a field. Any type of sensor can be used as long as it can sense the position of the worker. For example, it may be an image sensor installed to capture an image of the area where the worker is staying, or a human presence sensor that detects the position of the worker in the area where the worker is staying. Examples of the human presence sensor include an infrared sensor and a radio wave sensor. Alternatively, a mechanism for detecting the position of the worker by combining a device (tag, smartphone, BLE device, transmitter, etc.) carried by the worker with a sensor may be used. The acquisition unit 110 may determine in which of a plurality of cultivation areas the worker is staying based on the sensor data.

[0024] (Acquisition process 3) The acquisition unit 110 may acquire measurement values ​​measured by a sensor carried by the worker or a sensor worn by the worker, and may acquire the position information of the worker based on the measurement values. The sensor carried by the worker may be a GPS (Global Positioning System) sensor mounted on an information processing device (terminal device) such as a smartphone or a tablet terminal. The sensor carried by the worker may be a GPS sensor attached to a farm tool or equipment used by the worker to harvest crops. The sensor worn by the worker may be a GPS sensor mounted on a wearable device worn by the worker. The GPS sensor measures the position of the information processing device by receiving GPS signals from multiple GPS satellites. The acquisition unit 110 may determine in which of multiple cultivation areas the worker is staying based on the sensor data.

[0025] In the acquisition processes 1 to 3, the acquisition unit 110 may identify the worker based on the worker's characteristics. Examples of the worker's characteristics include the worker's face, clothing, and a tag worn by the worker. The acquisition unit 110 may identify the worker by communicating with a device carried by the worker. The acquisition unit 110 may also grasp in which of a plurality of cultivation areas the worker is staying, using a work plan (worker's schedule) and work results managed in the storage unit 20 or on the cloud.

[0026] In step S12, the determination unit 120 determines whether or not crop harvesting is being performed. If crop harvesting is being performed (step S12; YES), the process proceeds to step S13. If there are multiple workers in the field and at least one of the multiple workers is performing crop harvesting (step S12; YES), the process proceeds to step S13. If crop harvesting is not being performed (step S12; NO), the process of the flowchart in FIG. 2 ends.

[0027] The determination unit 120 may perform the determination process of step S12 based on the position information of the worker. A sensor for measuring weight may be installed on a basket for putting the harvested product, and the determination unit 120 may perform the determination process of step S12 based on the measurement value of the sensor. A sensor capable of detecting whether the harvested product has passed through may be installed at the entrance / exit of the farm field, and the determination unit 120 may perform the determination process of step S12 based on the measurement value of the sensor. A sensor may be installed on the farm tools and equipment used for harvesting, and the determination unit 120 may perform the determination process of step S12 based on the measurement value of the sensor. Furthermore, the determination unit 120 may perform the determination process of step S12 by comprehensively using the position information of the worker and the measurement values ​​of these sensors.

[0028] In step S13, the estimation unit 130 calculates the stay time or movement speed of the worker in the field based on the time series data of the position information. The stay time of the worker is the stay time of the worker in the area in the field where crops are cultivated (cultivation area). The movement speed of the worker is the movement speed of the worker working in the cultivation area. The stay time of the worker may be the stay time at a point in the field where the worker is located, or may be the stay time in the range in the field where the worker is located. The movement speed of the worker is the movement speed of the worker working in the field. It may be the speed at which the contractor moves from the point where the contractor is located, or it may be the speed at which the worker moves from the range in the field where the worker is located. When the worker's position information includes information indicating the point in the field where the worker is located, the estimation unit 130 may calculate the worker's stay time or movement speed for each point in the field where the worker is located. When the worker's position information includes information indicating the range in the field where the worker is located, the estimation unit 130 may calculate the worker's stay time or movement speed for each range in the field where the worker is located. An example of the process for calculating the worker's stay time is shown below.

[0029] (Dwell time calculation process 1) The estimation unit 130 calculates the movement direction of the worker based on the time series data of the position information. The estimation unit 130 calculates the stay time of the worker based on the movement direction of the worker and the time series data of the position information. For example, the direction (first direction) away from a predetermined position in the field (the entrance of the field) may be defined as the movement direction when the worker harvests the crop. When the movement direction of the worker coincides with the first direction, the estimation unit 130 may calculate the stay time of the worker based on the time series data of the position information. A map of the field may be stored in advance in the storage unit 20. The map of the field may have at least the position of the cultivation area and the predetermined position of the field (the position of the entrance of the field). For example, there are cases where the frequency of workers coming and going at the entrance of the field is high. When a specific worker frequently enters and leaves the field, the estimation unit 130 does not calculate the stay time of the specific worker. The estimation unit 130 may calculate the stay time of the worker by excluding time series data of the position information of the worker during the time period when the frequency of the worker's coming and going from the entrance and exit of the farm field is high.

[0030] (Dwell time calculation process 2) The estimation unit 130 calculates the movement speed of the worker based on the time series data of the position information. The estimation unit 130 calculates the stay time of the worker based on the movement speed of the worker and the time series data of the position information. When the movement speed of the worker is less than the threshold value for speed, the estimation unit 130 calculates the stay time of the worker based on the time series data of the position information. When the movement speed of the worker is equal to or greater than the threshold value for speed, the estimation unit 130 does not calculate the stay time of the worker. When the movement speed of the worker is slow, it is highly likely that the worker is harvesting crops, and when the movement speed of the worker is fast, it is highly likely that the worker is not harvesting crops. Based on such a tendency, the estimation unit 130 may calculate the stay time of the worker.

[0031] (Dwell time calculation process 3) When multiple workers stay in the same cultivation area, the estimation unit 130 may calculate the stay time of each of the multiple workers based on the time series data of the location information of the multiple workers, and may add up each stay time to calculate the stay time of the worker. Also, when multiple workers stay in the same cultivation area, the estimation unit 130 may calculate the stay time of the worker based on the time series data of the location information of the worker who stays in the cultivation area first, and may multiply the stay time of the worker by a value according to the number of multiple workers. For example, when two workers stay in the same cultivation area, the stay time of the worker may be multiplied by 1.3. For example, when three workers stay in the same cultivation area, the stay time of the worker may be multiplied by 1.5.

[0032] (Calculation process of movement speed) The estimation unit 130 calculates the movement speed of the worker based on the time series data of the position information. If a particular worker frequently enters or leaves the field, the estimation unit 130 does not calculate the movement speed of the particular worker. The estimation unit 130 may calculate the movement speed of the worker by excluding the time series data of the position information of the worker during the time period when the frequency of workers passing through the entrance and exit of the field is high. If the movement speed of a particular worker among multiple workers is equal to or higher than the speed threshold, the estimation unit 130 may calculate the movement speed of the worker by excluding the time series data of the position information of the particular worker. If the movement speed of the worker is slow, The worker is likely to be harvesting crops, and when the worker's moving speed is fast, the worker is likely not harvesting crops. Based on such a tendency, the estimation unit 130 may calculate the moving speed of the worker.

[0033] In step S14, the estimation unit 130 estimates the degree of accomplishment of the harvesting work in the field. The degree of accomplishment of the harvesting work is a value indicating the status of the harvesting work. The degree of accomplishment of the harvesting work may be a value indicating the ratio of the current value of the harvesting work to the target value of the harvesting work. The degree of accomplishment of the harvesting work may also be the probability of the possibility that the harvesting work has been performed (harvest possibility probability). When multiple workers are performing the harvesting work of the crops, the estimation unit 130 estimates the degree of accomplishment of the harvesting work for each of the multiple workers. The estimation unit 130 may estimate the degree of accomplishment of a predetermined work in a cultivation area of ​​the field. When one cultivation area exists in the field, the estimation unit 130 may estimate the degree of accomplishment of the harvesting work in one cultivation area. When multiple cultivation areas exist in the field, the estimation unit 130 may estimate the degree of accomplishment of the harvesting work for each of the multiple cultivation areas. The estimation unit 130 may divide the cultivation area into multiple division areas and estimate the degree of accomplishment of the harvesting work for each of the multiple division areas. An example of a process for estimating the degree of success of harvesting work is shown below.

[0034] (Achievement Estimation Process 1) The estimation unit 130 estimates the degree of completion of the harvesting work based on the following (Equation 1). Worker's stay time / Reference time = Harvesting task achievement rate (%) (Equation 1) The reference time is a judgment criterion (threshold) regarding the stay time of the worker. The reference time may be obtained by actual measurement or simulation, and is stored in the memory unit 20. The estimation unit 130 may estimate the degree of completion of the harvesting work by dividing the stay time of the worker by the reference time. If the stay time of the worker is short, it is highly likely that the crops have not been harvested. If the stay time of the worker is long, it is highly likely that the crops have been harvested. The estimation unit 130 may estimate the degree of completion of the harvesting work based on such a trend in the stay time of the worker.

[0035] (Achievement level estimation process 2) The estimation unit 130 estimates the degree of completion of the harvesting work based on the following (Equation 2). Worker's movement speed / reference speed = Harvesting task completion rate (%) (Equation 2) The reference speed is a judgment standard (threshold) for the movement speed of the worker. The reference speed may be obtained by actual measurement or simulation, and is stored in the memory unit 20. The estimation unit 130 may estimate the degree of completion of the harvesting work by dividing the movement speed of the worker by the reference speed. If the movement speed of the worker is fast, it is highly likely that the crops have not been harvested. If the movement speed of the worker is slow, it is highly likely that the crops have been harvested. The estimation unit 130 may estimate the degree of completion of the harvesting work based on such a tendency of the movement speed of the worker.

[0036] (Achievement level estimation process 3) The memory unit 20 stores work performance related to harvesting work (predetermined work) for each of a plurality of workers. The estimation unit 130 estimates the achievement level of the harvesting work based on the stay time or movement speed of the worker and the work performance of each worker stored in the memory unit 20. The work performance of a worker may be a value obtained by dividing the worker's harvest yield by the worker's harvesting time. The worker's harvest yield is, for example, the yield of a crop when the worker harvests a single ridge of crops. The worker's harvesting time is, for example, the elapsed time from when the worker starts harvesting a single ridge of crops to when the worker finishes harvesting the crops. The estimation unit 130 calculates a weighting coefficient from the worker's work performance. The estimation unit 130 estimates the achievement level of the harvesting work based on the following (Equation 3) or (Equation 4). (Worker's stay time / reference time) x weighting coefficient = harvesting task achievement rate (%) (Equation 3) (Worker's moving speed / reference speed) × weighting coefficient = harvesting task achievement rate (%) (Equation 4)

[0037] When a worker is an expert in harvesting (skilled worker), the harvest volume tends to be large and the harvesting time tends to be short. Therefore, the work performance of the skilled worker is high and the weighting coefficient is large. When the worker is unskilled in harvesting (unskilled worker), the harvest amount tends to be small and the harvesting time tends to be long. That is, for unskilled workers, the harvest amount per harvesting time is small. Therefore, the work performance of the unskilled worker is low and the weighting coefficient is small. Even if the stay time of the skilled worker and the stay time of the unskilled worker are the same, the achievement level of the harvesting work of the skilled worker may be higher than the achievement level of the harvesting work of the unskilled worker. Also, even if the stay time of the skilled worker is shorter than the stay time of the unskilled worker, the achievement level of the harvesting work of the skilled worker may be higher than the achievement level of the harvesting work of the unskilled worker. Even if the movement speed of the skilled worker and the movement speed of the unskilled worker are the same, the achievement level of the harvesting work of the skilled worker may be higher than the achievement level of the harvesting work of the unskilled worker. Furthermore, even if the movement speed of a skilled worker is slower than that of an unskilled worker, the skilled worker's level of success in the harvesting work may be higher than the unskilled worker's level of success in the harvesting work.

[0038] The work performance of the worker may be, for example, an evaluation value of the harvesting work of the worker by the manager of the farm field. After the worker harvests the crops, the manager may visually check the area where the worker harvested and evaluate the harvesting work of the worker. For example, if almost all of the harvestable crops have been harvested in the area where the worker harvested, the harvesting work of the worker may be evaluated as "good". Also, for example, if a small amount of harvestable crops remain in the area where the worker harvested, the harvesting work of the worker may be evaluated as "average". Data regarding the work performance of the worker is stored in the storage unit 20. The estimation unit 130 may calculate a weighting coefficient from the work performance of the worker. The estimation unit 130 may estimate the achievement level of the harvesting work based on the above (Equation 3) or (Equation 4).

[0039] (Achievement level estimation process 4) The memory unit 20 stores the harvest record of the crops in the field. The estimation unit 130 estimates the achievement level of the harvesting work based on the stay time or movement speed of the worker and the harvest record of the crops in the field stored in the memory unit 20. The harvest record is the growth degree of the crops in a specified period, the harvest amount (total number of crops harvested) of the crops harvested in a specified period, etc. The harvest record may be the stay time or movement speed of the worker on the previous day. When estimating the achievement level of the harvesting work, the estimation unit 130 selects the harvest record for the cultivation area that is the target of the process for estimating the achievement level of the harvesting work. The estimation unit 130 may calculate a weighting coefficient from the harvest record in the cultivation area. The estimation unit 130 may estimate the achievement level of the harvesting work based on the above (Equation 3) or (Equation 4).

[0040] For example, on a given day, the crops may not have grown much and the amount of harvestable crops may be small, but on the next day, the crops may have grown and the amount of harvestable crops may be large. Therefore, if the amount of harvestable crops is large but the worker's stay time is short, it is highly likely that the worker is not able to harvest a sufficient amount of harvestable crops. Also, if the amount of harvestable crops is large but the worker's movement speed is fast, it is highly likely that the worker is not able to harvest a sufficient amount of harvestable crops. In such cases, the estimation unit 130 may set the weighting coefficient low and estimate the degree of accomplishment of the harvesting work based on the above (Equation 3) or (Equation 4).

[0041] For example, if the types of crops in cultivation areas A and B are the same, and the growth rate of the crops in cultivation area A is similar to that in cultivation area B, the amount of harvestable crops in cultivation area A and the amount of harvestable crops in cultivation area B tend to be similar. Therefore, the time required to harvest the crops in cultivation area A and the time required to harvest the crops in cultivation area B are likely to be similar. If the time spent by workers in cultivation area A is shorter than the time spent by workers in cultivation area B, it is highly likely that the crops in cultivation area A have not been sufficiently harvested. In addition, if the time spent by workers in cultivation area A is shorter than the time spent by workers in cultivation area B, it is highly likely that the crops in cultivation area A have not been sufficiently harvested. If the moving speed is faster than the moving speed of the worker in cultivation area B, there is a high possibility that the crops in cultivation area A are not sufficiently harvested. In such a case, the estimation unit 130 may set the weighting coefficient in cultivation area A lower than the weighting coefficient in cultivation area B, and estimate the degree of completion of the harvesting work based on the above (Equation 3) or (Equation 4).

[0042] For example, if the amount of harvested crops on a given day is large, the amount of harvestable crops on the next day may be small. Therefore, when the amount of harvestable crops is small, even if the worker's stay time is short, it is highly likely that the worker has harvested a sufficient amount of harvestable crops. Also, when the amount of harvestable crops is small, even if the worker's movement speed is fast, it is highly likely that the worker has harvested a sufficient amount of harvestable crops. In such a case, the estimation unit 130 may set the weighting coefficient high and estimate the achievement level of the harvesting work based on the above (Equation 3) or (Equation 4). By estimating the achievement level of the harvesting work taking such harvesting results into consideration, it is possible to grasp the harvesting situation of the field more accurately. Also, the estimation unit 130 may estimate the achievement level of the harvesting work based on the worker's stay time or movement speed, the worker's work results, and the harvesting results.

[0043] (Achievement Estimation Process 5) The estimation unit 130 may estimate the degree of accomplishment of the harvesting work based on the stay time or movement speed of the worker and a learning model (estimation model). The estimation unit 130 may generate the learning model by performing machine learning using the stay time or movement speed of the worker. The estimation unit 130 may generate the learning model based on the stay time or movement speed of the worker and the correct answer data. For example, the manager may patrol the field for a predetermined period and determine whether the crops have been harvested or not for each seedling or each predetermined location (harvesting judgment result) as the correct answer data. In addition, the achievement degree calculated from the harvest judgment result may be the correct answer data. The predetermined location may be a location in which the crops are divided into a predetermined range (for example, a range of several centimeters). The manager is a person who can correctly judge the state of the crops, such as a cultivation manager. The manager may start patrolling the field during the crop harvesting work. The manager may start patrolling the field after the crop harvesting work is completed. It may be determined whether the crop has been harvested or not for the entire cultivation area in the farm field. Also, in consideration of the burden on the manager, it may be determined whether the crop has been harvested or not for a specific part of the cultivation area in the farm field.

[0044] The manager may display a map, photographs, videos, etc. of the farm field on a display unit (such as a display) of a terminal device (information processing device) such as a smartphone or tablet terminal, and then input the harvesting judgment result to the terminal device by designating the location where the crop has been judged to be harvested or unharvested. The manager may input the harvesting judgment result to the terminal device by selecting a harvest button or an unharvested button displayed on the display unit of the terminal device. The terminal device transmits the harvesting judgment result and the location where the manager has judged to be harvested or unharvested to the support device 1.

[0045] The terminal device may also acquire location information of the manager using a GPS sensor. In this case, when the manager inputs the harvesting judgment result to the terminal device, the terminal device may acquire location information of the manager at the time the harvesting judgment result was input. The terminal device transmits the harvesting judgment result and the location information of the manager at the time the harvesting judgment result was input to the support device 1.

[0046] The learning model and the correct answer data are stored in the memory unit 20. The estimation unit 130 may estimate the accuracy of the achievement level of the harvesting work (a value indicating the likelihood) based on the correct answer data. The estimation unit 130 may estimate the accuracy of the achievement level of the harvesting work by comparing the learning data used in the machine learning with an estimated value from the learning model. Correct answer data may be prepared instead of the learning data. The estimation unit 130 may estimate the accuracy of the achievement level of the harvesting work by comparing the estimated value from the learning model with the correct answer data. The accuracy of the achievement level of the harvesting work may be estimated. The estimation unit 130 may estimate the accuracy of the achievement level of the harvesting work using positive and negative numerical values ​​or a rank (level). The positive and negative numerical values ​​may be expressed as a percentage or a fraction. The rank may be a numerical value such as 1, 2, 3, etc., or an English letter such as A, B, C, etc. The positive and negative numerical values ​​and the rank may be colored. For example, a different color may be assigned to each of the English letters such as A, B, C, etc.

[0047] (Estimation of achievement level 6) The estimation unit 130 may estimate the degree of accomplishment of the harvesting work as a rank (level) based on the result of comparing the degree of accomplishment (%) of the harvesting work estimated by the degree of accomplishment estimation processes 1 to 5 with a threshold value. The rank may be a number such as 1, 2, 3, etc., or an English letter such as A, B, C, etc. The positive and negative numbers and ranks may be colored.

[0048] The estimation unit 130 may estimate the degree of accomplishment of a predetermined task performed by a worker in a field. The predetermined tasks include, but are not limited to, harvesting, leaf removal, flower removal, bud removal, training, leaf removal, bud removal, top removal, irrigation, fertilization, and pesticide spraying. The estimation unit 130 may grasp the type of task performed by the worker based on the movement of the person in the video, sensor data, and the like. In addition, the worker may input the type of task using a device or the like before and after the task. The estimation unit 130 may grasp the type of task performed by the worker based on the input type of task. Alternatively, the estimation unit 130 may grasp the type of task performed by the worker based on a task plan and task performance managed in the storage unit 20 or on the cloud.

[0049] The estimation unit 130 may estimate the degree of completion of the predetermined task according to the degree of completion estimation processes 1 to 6, and may estimate the accuracy of the degree of completion of the predetermined task according to the degree of completion estimation process 5. The estimation unit 130 may estimate the degree of completion of the predetermined task and the accuracy of the degree of completion of the predetermined task by using the work plan and work results managed in the storage unit 20 or on the cloud.

[0050] In step S15, the output unit 140 outputs the degree of accomplishment of the harvesting work (predetermined work) in the field. When the degree of accomplishment of the harvesting work is estimated for each of multiple workers, the output unit 140 outputs the degree of accomplishment of the multiple harvesting work. When the degree of accomplishment of the harvesting work in one cultivation area is estimated, the output unit 140 outputs the degree of accomplishment of the harvesting work in one cultivation area. When the degree of accomplishment of the harvesting work is estimated for each of multiple cultivation areas, the output unit 140 outputs the degree of accomplishment of the harvesting work for each of the multiple cultivation areas. When the degree of accomplishment of the harvesting work is estimated for each of multiple divided areas, the output unit 140 outputs the degree of accomplishment of the harvesting work for each of the multiple divided areas. When the accuracy of the degree of accomplishment of the harvesting work is estimated, the output unit 140 outputs the accuracy of the degree of accomplishment of the harvesting work.

[0051] In step S16, the output unit 140 stores the degree of accomplishment of the harvesting work in the memory unit 20. In step S17, the output unit 140 displays the degree of accomplishment of the harvesting work and at least one of a map, a figure, and an image of the farm field on the display device 2. The images include still images and moving images. When the degrees of accomplishment of multiple harvesting works are estimated, the output unit 140 displays the degrees of accomplishment of multiple harvesting works on the display device 2. The display device 2 may display the cultivation area and the degree of accomplishment of the harvesting work in association with each other. The display device 2 may display the degree of accomplishment of the harvesting work in association with each other for multiple cultivation areas, or may display the degree of accomplishment of the harvesting work in association with each other for multiple division areas. An example of a process for displaying the degree of accomplishment of the harvesting work is shown below.

[0052] (Display process 1) 3 is a diagram showing an example of a screen displayed on the display device 2. When the position information of the worker includes the point where the worker is located in the field, the estimation unit 130 may calculate the stay time or movement speed of the worker for each point where the worker is located in the field. For example, when the stay time or movement speed of the worker is calculated for each point where the worker is located in the field, as shown in FIG. Such a screen is displayed on the display device 2. FIG. 3 shows a screen in which the display device 2 displays the degree of accomplishment of the harvesting work in association with each of a plurality of divided areas. In the example screen shown in FIG. 3, a map of the field as viewed from directly above is displayed by an illustration. In the example screen shown in FIG. 3, a map of the field and the degree of accomplishment of the harvesting work superimposed on the map of the field are displayed. In the example screen shown in FIG. 3, the harvesting work is performed by a plurality of workers, and the degree of accomplishment of the plurality of harvesting works is displayed on the display device 2. This is not limited to this, and the harvesting work may be performed by one worker. The map of the field may be stored in advance in the storage unit 20. The output unit 140 may read out the map of the field from the storage unit 20 and display the map of the field on the display device 2. In addition, the worker may transmit the number, size, position, etc. of the cultivation areas in the field to the support device 1 using an information processing device. For example, the output unit 140 may create a map of the field based on the number, size, position, etc. of ridges in the field, and display the map of the field on the display device 2. The output unit 140 superimposes the achievement level of the harvesting work on the map of the field based on the position information of the worker and the position of the cultivation area on the map of the field.

[0053] In the example screen shown in Fig. 3, the degree of completion of harvesting work is displayed as a percentage (%) and shade of gray. Areas 201-205 in the example screen of Fig. 3 are cultivation areas. Each of the areas 201-203 and 205 is divided into a plurality of partitioned areas. In the example screen of Fig. 3, a warehouse 206, an office 207, an entrance / exit 208 to the farm field, and a road 209 are displayed.

[0054] FIG. 4 is a diagram showing an example of a screen displayed on the display device 2. FIG. 4 shows a screen in which the display device 2 displays the degree of accomplishment of the harvesting work in association with each of a plurality of divided areas. In the example screen shown in FIG. 4, a map of the field as viewed from directly above is displayed by an illustration. In the example screen shown in FIG. 4, a map of the field, the degree of accomplishment of the harvesting work superimposed on the map of the field, and the accuracy of the degree of accomplishment of the harvesting work superimposed on the map of the field are displayed. In the example screen shown in FIG. 4, the harvesting work is performed by a plurality of workers, and the degree of accomplishment of a plurality of harvesting works is displayed on the display device 2. This is not limited to this, and the harvesting work may be performed by a single worker. In the example screen shown in FIG. 4, the degree of accomplishment of the harvesting work is displayed as a percentage (%) and a shade, and the accuracy of the degree of accomplishment of the harvesting work is displayed as a percentage (%).

[0055] In the screen examples shown in Figs. 3 and 4, the degree of accomplishment of the harvesting work is displayed as a percentage (%) and a shade of color. The degree of accomplishment of the harvesting work may be displayed as a percentage (%) and a shade of color. The degree of accomplishment of the harvesting work may be displayed only as a percentage (%), only as a shade of color, or only as a shade of color. In the screen examples shown in Figs. 3 and 4, the map is displayed by illustration, but a satellite photo of the field may be displayed on the display device 2. The output unit 140 superimposes the degree of accomplishment of the harvesting work on the satellite photo of the field based on the position information of the worker and the position information (longitude and latitude information) of the cultivation area in the satellite photo. When the satellite photo of the field is displayed on the display device 2, lines indicating the outlines of the areas 201 to 205, the warehouse 206, the office 207, the entrance / exit 208 of the field, and the road 209 may be superimposed on the satellite photo of the field.

[0056] 3 and 4, a message may be displayed to prompt the worker to check the cultivation areas with a low degree of harvesting achievement, or to prioritize harvesting work on the cultivation areas with a low degree of harvesting achievement. For example, when the harvesting time on a given day is limited, the worker can prioritize harvesting work on the cultivation areas with a low degree of harvesting achievement. Based on such a message, the worker can determine whether or not to prioritize harvesting work on the cultivation areas with a low degree of harvesting achievement.

[0057] (Display process 2) 5 is a diagram showing an example of a screen displayed on the display device 2. When the position information of the worker includes a point where the worker is located in the field, the estimation unit 130 estimates the position of the worker in the field. The stay time or movement speed of the worker may be calculated for each point where the worker is located. When the position information of the worker includes the range in the field where the worker is located, the estimation unit 130 may calculate the stay time or movement speed of the worker for each range in the field where the worker is located. For example, when the stay time or movement speed of the worker is calculated for each point or range in the field where the worker is located, a screen as shown in FIG. 5 is displayed on the display device 2. FIG. 5 shows a screen in which the display device 2 displays the achievement level of the harvesting work in association with each of a plurality of cultivation areas. In the screen example shown in FIG. 5, a figure of the field when viewed from directly above is displayed. In the screen example shown in FIG. 5, the figure of the field and the achievement level of the harvesting work superimposed on the figure of the field are displayed. In the screen example shown in FIG. 5, the harvesting work is performed by a plurality of workers, and the achievement levels of the plurality of harvesting work are displayed on the display device 2. This is not limited to this, and the harvesting work may be performed by one worker. The figure of the field may be stored in advance in the storage unit 20. The output unit 140 may read out a diagram of the field from the storage unit 20 and display the diagram of the field on the display device 2. The worker may also transmit the number, size, position, etc. of the cultivation areas in the field to the support device 1 using an information processing device. For example, the output unit 140 may create a diagram of the field based on the number, size, etc. of the ridges in the field and display the diagram of the field on the display device 2. The output unit 140 superimposes the achievement level of the harvesting work on the diagram of the field based on the position information of the worker and the positions of the cultivation areas on the diagram of the field.

[0058] In the example screen shown in FIG. 5, the degree of accomplishment of the harvesting work is displayed in a heat map. The heat map may express the degree of accomplishment of the harvesting work by, for example, different colors or shades of colors. The degree of accomplishment of the harvesting work may be expressed by a gradation of colors in the heat map, such that areas where the degree of accomplishment of the harvesting work is high are colored red, and areas where the degree of accomplishment of the harvesting work is low are colored blue. The heat map can be created by various methods. In the example screen shown in FIG. 5, the heat map is superimposed on figures 211 and 212 showing the cultivation area. In the example screen shown in FIG. 5, figures 213 and 214 showing buildings and figure 215 showing a passage are displayed.

[0059] FIG. 6 is a diagram showing an example of a screen displayed on the display device 2. FIG. 6 shows a screen in which the display device 2 displays the degree of accomplishment of the harvesting work in association with each of a plurality of cultivation areas. In the example screen shown in FIG. 6, a figure of the field when the field is viewed from an oblique direction is displayed. In the example screen shown in FIG. 6, a figure of the field and a degree of accomplishment of the harvesting work superimposed on the figure of the field are displayed. In the example screen shown in FIG. 6, the harvesting work is performed by a plurality of workers, and the degree of accomplishment of the plurality of harvesting works is displayed on the display device 2. This is not limited to this, and the harvesting work may be performed by one worker. In the example screen shown in FIG. 6, the degree of accomplishment of the harvesting work is displayed in a heat map. The heat map may express the degree of accomplishment of the harvesting work by, for example, a difference in color or a shade of color. In the example screen of FIG. 6, the heat map is superimposed on a figure 221 showing a cultivation area. In the example screen of FIG. 6, figures 222 and 223 showing a building and a figure 224 showing a passage are displayed.

[0060] In the screen examples shown in Figs. 5 and 6, the degree of accomplishment of the harvesting work (heat map) is superimposed on the diagram of the field. In the screen examples shown in Figs. 5 and 6, the accuracy of the degree of accomplishment of the harvesting work may be superimposed on the diagram of the field. In the screen examples shown in Figs. 5 and 6, the diagram of the field is displayed, but a photograph (still image) or video (moving image) of the field taken by a fixed camera, or a snapshot or video of the field taken by a handheld camera may be displayed on the display device 2. In this case, the worker may determine the number, size, position, etc. of the cultivation areas in the field by referring to the photograph or video displayed on the display unit of the information processing device. The worker may transmit the number, size, position, etc. of the cultivation areas in the field to the support device 1 using the information processing device. The output unit 140 superimposes the degree of accomplishment of the harvesting work on the photograph or video of the field based on the position information of the worker and the position of the cultivation area in the photograph or video (image data) of the field. When a photograph or image of a farm field is displayed on the display device 2, the lines showing the outlines of the figures 221 to 224 are aligned along the photograph of the farm field. 5 and 6, a message urging the worker to check a specific area may be displayed.

[0061] The display device 2 may be installed in a field. FIG. 7 is a diagram showing an example of a case where the display device 2 is installed in a field. The display device 2 may be installed, for example, around a cultivation area of ​​the field. In the example shown in FIG. 7, the display device 2 has a large display. The worker and the manager can easily grasp the status of the harvesting work in the field by visually checking the achievement level of the harvesting work displayed on the display device 2 in the field. For example, the worker can save the trouble of searching for a place in the field where the achievement level of the harvesting work is low, and the work efficiency of the worker can be improved and time loss can be suppressed. In addition, by visually checking the achievement level of the harvesting work displayed on the display device 2 in the field by multiple workers, the multiple workers can easily grasp the status of the harvesting work in the field and share the status of the harvesting work in the field among the multiple workers. Therefore, the work efficiency of the multiple workers can be improved and time loss can be suppressed.

[0062] The output unit 140 may transmit output data including the degree of accomplishment of the harvesting work, and a map, photograph, or video of the field to the information processing device. The information processing device may display the degree of accomplishment of the harvesting work, and the map, photograph, or video of the field on a display unit (such as a display) of the information processing device. The output unit 140 may transmit output data including the degree of accomplishment of the harvesting work, the accuracy of the degree of accomplishment of the harvesting work, and the map, photograph, or video of the field to the information processing device of the worker. The information processing device may display the degree of accomplishment of the harvesting work, the accuracy of the degree of accomplishment of the harvesting work, and the map, photograph, or video of the field on a display unit of the information processing device. The worker and manager can grasp the status of the harvesting work in the field by visually checking the degree of accomplishment of the harvesting work displayed on the display unit of the information processing device. In addition, by multiple workers visually checking the degree of completion of harvesting work displayed on the display unit of the information processing device, the multiple workers can understand the status of harvesting work in the field and share the status of harvesting work in the field among the multiple workers.

[0063] When the information processing device receives output data including the degree of accomplishment of the harvesting work, the information processing device may notify the worker of information regarding the degree of accomplishment of the harvesting work by outputting at least one of sound, vibration, and light. An example of a notification method in which the screen example shown in FIG. 4 is displayed on at least one of the display device 2 and the information processing device will be described. When the information processing device receives output data including the degree of accomplishment of the harvesting work in the field area 201, the information processing device outputs at least one of sound, vibration, and light. The worker can grasp the status of the harvesting work in the field area 201 in real time by visually checking the display device 2 or the display unit of the information processing device. When the information processing device receives output data including the degree of accomplishment of the harvesting work in the field area 205, the information processing device outputs at least one of sound, vibration, and light. The worker can grasp the status of the harvesting work in the field area 205 in real time by visually checking the display device 2 or the display unit of the information processing device. Therefore, the worker can immediately recognize the unharvested area of ​​the crop in the field, and the efficiency of the harvesting work of the crop in the field is improved. This makes it possible to prevent the loss of time required to ascertain the unharvested area of ​​the crop.

[0064] According to this embodiment, a worker can grasp the work status in a field (e.g., the harvest status of crops) without carrying special equipment, etc. Furthermore, multiple workers can share the work status in a field among themselves without carrying special equipment, etc. By simply working in the field as usual, a worker can instantly recognize areas in the field where crops have been harvested and areas where harvesting has not yet been completed, thereby reducing the stress and time required to grasp the situation. As a result, the harvesting work for the entire field is shorter than before, and the physical exhaustion of workers can be suppressed. Furthermore, missed harvesting of crops in the field can also be suppressed.

[0065] Conventionally, the harvest status of a field was recorded by the cultivation manager's eyeballing, but according to this embodiment, the harvest status of a field can be recorded as an objective value. This makes it possible to accurately predict how long it will take to complete the harvesting work by utilizing the harvest status of the field and past harvesting records (weather, combination of workers, type of harvested crop, amount of harvested crop, work time, etc.). This makes it possible to support the creation of more accurate agricultural work plans. This embodiment can also be applied to a field where workers and work robots work together. For example, a work robot can grasp the work status in the field, recognize areas where harvesting has not yet been completed, and perform harvesting work.

[0066] The present invention may be understood as an information processing device or information processing system having at least some of the configurations, means, and functions described above. The present invention may be understood as a support method or information processing method including at least some of the processes described above. The present invention may be understood as a method in which a computer executes the processes described above. The present invention may be understood as a program for causing a computer to execute the processes described above, and the program may be provided to the computer via a network or from a computer-readable recording medium that non-temporarily holds data.

[0067] <Computer-readable recording medium> A program for causing an information processing device or other machine or device (hereinafter, computer, etc.) to realize any of the above functions can be recorded on a computer-readable recording medium. The function can be provided by having the computer, etc. read and execute the program from the recording medium. A computer-readable recording medium refers to a recording medium that stores information such as data and programs through electrical, magnetic, optical, mechanical, or chemical action and can be read by a computer, etc.

[0068] <Appendix 1> an acquisition unit (110) that acquires time-series data of position information including at least one of a point and an area where a worker is located in a farm field; an estimation unit (130) that calculates a stay time or a movement speed of the worker based on the time series data of the position information, and estimates a degree of completion of a predetermined task performed by the worker in the field based on the stay time or the movement speed of the worker; an output unit (140) for outputting the degree of completion of the predetermined task; An assistance device (1) comprising: <Appendix 2> the estimation unit (130) estimates the degree of completion of the predetermined work in a predetermined area of ​​the field, or estimates the degree of completion of the predetermined work for each of a plurality of the predetermined areas in the field; The output unit (140) outputs the degree of completion of the predetermined task in the predetermined area, or outputs the degree of completion of the predetermined task for each of a plurality of the predetermined areas. Assistance device (1) as described in appendix 1. <Appendix 3> The estimation unit (130) estimates the degree of completion of the predetermined task for each of a plurality of divided areas obtained by dividing the predetermined area into a plurality of areas, The output unit (140) outputs the degree of completion of the predetermined task for each of the plurality of divided areas. Assistance device (1) as described in appendix 1. <Appendix 4> The estimation unit (130) calculates the stay time or the movement speed of the worker based on the time series data of the position information, and estimates the achievement level of the predetermined task based on the stay time or the movement speed of the worker and a judgment criterion. 4. An assistance device (1) according to any one of appendices 1 to 3. <Appendix 5> a storage unit (20) in which work records relating to the predetermined work are stored for each of the plurality of workers, the estimation unit (130) calculates the stay time or the movement speed of the worker based on the time series data of the position information, and estimates the achievement level of the predetermined task based on the stay time or the movement speed of the worker and a weighting coefficient calculated from the task results of each of the multiple workers stored in the storage unit (20). 5. An assistance device (1) according to any one of appendices 1 to 4. <Appendix 6> the estimation unit (130) calculates the stay time or the movement speed of the worker based on the time series data of the position information, and estimates the achievement level of the predetermined task based on the stay time or the movement speed of the worker and a weighting coefficient calculated from the harvest record stored in the memory unit (20). 6. An assistance device (1) according to any one of appendices 1 to 5. <Appendix 7> the estimation unit (130) calculates the stay time or the movement speed of the worker based on the time-series data of the position information, generates a learning model by performing machine learning using the stay time or the movement speed of the worker, and estimates the achievement level of the predetermined task based on the stay time or the movement speed of the worker and the learning model. 7. An assistance device (1) according to any one of appendices 1 to 6. <Appendix 8> The estimation unit (130) estimates accuracy of the completion level of the predetermined task estimated based on the staying time or the moving speed of the worker and the learning model based on correct answer data; The output unit (140) outputs the accuracy of the degree of completion of the predetermined task. 8. The support device (1) according to claim 7. <Appendix 9> The completion degree of the predetermined work and at least one of a map, a figure, and an image of the farm field are displayed on a display unit. 9. An assistance device (1) according to any one of appendices 1 to 8. <Appendix 10> The degree of completion of the predetermined work and at least one of a map, a figure, and an image of the farm field are displayed on a display unit, The display unit displays the predetermined area and the achievement level of the predetermined task in association with each other, or displays the achievement level of the predetermined task for each of a plurality of the predetermined areas in association with each other. Assistance device (1) as described in appendix 2. <Appendix 11> The degree of completion of the predetermined work and at least one of a map, a figure, and an image of the farm field are displayed on a display unit, the display unit displays the degree of achievement of the predetermined task in association with each of the plurality of divided areas. Assistance device (1) as described in appendix 3. <Appendix 12> The predetermined work is a crop harvesting work performed by the worker in the field, 12. An assistance device (1) according to any one of appendices 1 to 11. <Appendix 13> A step (S11) of acquiring time series data of position information including at least one of a point and a range where a worker is located in a farm field; Calculate the stay time or movement speed of the worker based on the time series data of the position information. and estimating a degree of completion of a predetermined task performed by the worker in a predetermined area of ​​the field based on the stay time or the movement speed of the worker (S13, S14). A step (S15) of outputting the degree of accomplishment of the predetermined task in the predetermined area; A method of support that provides: <Appendix 14> On the computer, A step (S11) of acquiring time series data of position information including at least one of a point and a range where a worker is located in a farm field; Calculating the stay time or movement speed of the worker based on the time series data of the position information, and estimating the degree of completion of a predetermined task performed by the worker in a predetermined area of ​​the field based on the stay time or the movement speed of the worker (S13, S14); A step (S15) of outputting the degree of accomplishment of the predetermined task in the predetermined area; A program for executing the above. [Explanation of symbols]

[0069] 1 Support equipment 2 Display device 10 Control section 20 Memory section 30 Communications Department 110 Acquisition Department 120 Judgment section 130 Estimation part 140 Output section

Claims

1. an acquisition unit that acquires time series data of position information including at least one of a point and an area where a worker is located in a farm field; an estimation unit that calculates a stay time or a movement speed of the worker based on the time series data of the position information, and estimates a degree of completion of a predetermined task performed by the worker in the field based on the stay time or the movement speed of the worker; an output unit that outputs the achievement level of the predetermined task; A support device comprising:

2. The estimation unit estimates the degree of completion of the predetermined work in a predetermined area of ​​the field, or estimates the degree of completion of the predetermined work for each of a plurality of the predetermined areas in the field, The output unit outputs the degree of completion of the predetermined task in the predetermined area, or outputs the degree of completion of the predetermined task for each of a plurality of the predetermined areas. The support device according to claim 1 .

3. The estimation unit estimates the degree of accomplishment of the predetermined task for each of a plurality of divided areas obtained by dividing a predetermined area of ​​the farm field into a plurality of divided areas, The output unit outputs the degree of completion of the predetermined task for each of the plurality of divided areas. The support device according to claim 1 .

4. The estimation unit calculates the achievement level of the predetermined task based on the stay time or the movement speed of the worker and a judgment criterion. The support device according to claim 1 .

5. a storage unit in which work records relating to the predetermined work are stored for each of the plurality of workers, the estimation unit calculates the stay time or the movement speed of the worker based on the time series data of the position information, and estimates the achievement level of the predetermined task based on the stay time or the movement speed of the worker and a weighting coefficient calculated from the task performance of each of the plurality of workers stored in the storage unit. The support device according to claim 1 .

6. A memory unit in which crop harvest records in the farm field are stored, The estimation unit calculates the stay time or the movement speed of the worker based on the time series data of the position information, and estimates the achievement level of the predetermined task based on the stay time or the movement speed of the worker and a weighting coefficient calculated from the harvest record stored in the storage unit. The support device according to claim 1 .

7. the estimation unit calculates the stay time or the movement speed of the worker based on the time-series data of the position information, generates a learning model by performing machine learning using the stay time or the movement speed of the worker, and estimates the completion level of the predetermined task based on the stay time or the movement speed of the worker and the learning model. The support device according to claim 1 .

8. The estimation unit estimates accuracy of the completion level of the predetermined task estimated based on the staying time or the moving speed of the worker and the learning model based on correct answer data; The output unit outputs the accuracy of the degree of completion of the predetermined task.

8. The support device according to claim 7.

9. The completion degree of the predetermined work and at least one of a map, a figure, and an image of the farm field are displayed on a display unit. The support device according to claim 1 .

10. The degree of completion of the predetermined work and at least one of a map, a figure, and an image of the farm field are displayed on a display unit, The display unit displays the predetermined area and the achievement level of the predetermined task in association with each other, or displays the achievement level of the predetermined task for each of a plurality of the predetermined areas in association with each other. The support device according to claim 2 .

11. The degree of completion of the predetermined work and at least one of a map, a figure, and an image of the farm field are displayed on a display unit, the display unit displays the degree of achievement of the predetermined task in association with each of the plurality of divided areas. The support device according to claim 3.

12. The predetermined work is a crop harvesting work performed by the worker in the field, Assistance device according to any one of claims 1 to 11.

13. acquiring time series data of position information including at least one of a point and an area where a worker is located in a farm field; calculating a stay time or a movement speed of the worker based on the time series data of the position information, and estimating a degree of completion of a predetermined task performed by the worker in a predetermined area of ​​the field based on the stay time or the movement speed of the worker; outputting the degree of completion of the predetermined task in the predetermined area; A method of support that provides:

14. On the computer, acquiring time series data of position information including at least one of a point and an area where a worker is located in a farm field; calculating a stay time or a movement speed of the worker based on the time series data of the position information, and estimating a degree of completion of a predetermined task performed by the worker in a predetermined area of ​​the field based on the stay time or the movement speed of the worker; outputting the degree of completion of the predetermined task in the predetermined area; A program for executing the above.

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