WO2023191110A1

WO2023191110A1 - Program, method, information processing device, and system

Info

Publication number: WO2023191110A1
Application number: PCT/JP2023/013741
Authority: WO
Inventors: 俊二菅谷
Original assignee: 株式会社オプティム
Priority date: 2022-03-31
Filing date: 2023-03-31
Publication date: 2023-10-05
Also published as: JP2023149459A; JP2023152273A; JP7132680B1

Abstract

[Problem] To effectively control the operation of a moving body in a field while reducing the burden on a field manager. [Solution] A program for causing execution by a computer comprising a processor and a memory. The program causes the processor to execute: a step for receiving information about a planted crop from a user; a step for creating prediction information about at least one among growth, pathology, and pests on the basis of the received information about the crop, information about a field possessed by the user, and information about the environment of the field; a step for setting, on the basis of the prediction information, an objective for operating the moving body; and a step for setting, on the basis of the prediction information, a date for operating the moving body, and setting a moving method of the moving body from the objective and the information about the field.

Description

Program, method, information processing device, system

The present disclosure relates to a program, a method, an information processing device, and a system.

A flight control system has been proposed that appropriately controls the flight method of a drone depending on the flight purpose (see Patent Document 1). The invention described in Patent Document 1 describes that a flight method is set by a user inputting a purpose of use or a purpose of flight from an operating device for operating the drone.

JP2021-073902A

In Patent Document 1, the flight method is set by the user inputting the purpose of use or flight purpose, so the user needs to be aware of the purpose of use or flight purpose.

The purpose of the present disclosure is to effectively control the operation of mobile bodies in a field while reducing the burden on a field manager.

This is a program to be executed by a computer equipped with a processor and memory. The program includes the steps of: receiving information on the planted crops from the user; and on the basis of the received information on the crops, information on the field owned by the user, and information on the environment of the field, at least a step of creating prediction information regarding either; a step of setting a purpose for operating the mobile body based on the prediction information; a step of setting a date for operating the mobile body based on the prediction information; and a step of setting a movement method of the moving body.

According to the present disclosure, it is possible to effectively control the operation of mobile bodies in a field while reducing the burden on a field manager.

1 is a block diagram showing an example of the overall configuration of a system 1. FIG. 2 is a block diagram illustrating a configuration example of the terminal device 10 shown in FIG. 1. FIG. 2 is a diagram showing an example of a functional configuration of a server 20. FIG. FIG. 2 is a block diagram showing a configuration example of a mobile body 30 shown in FIG. 1. FIG. It is a diagram showing the data structure of a farm information table 2021. It is a diagram showing the data structure of a crop information table 2022. It is a diagram showing the data structure of a pesticide information table 2023. 3 is a diagram showing the data structure of an environment information table 2024. FIG. 3 is a diagram showing a data structure of a purpose information table 2025. FIG. 3 is a diagram showing the data structure of a schedule management table 2026. FIG. FIG. 1 is a schematic diagram showing an example of the configuration of a system 1 according to the present embodiment. FIG. 2 is a diagram illustrating the operations of the terminal device 10 and the server 20 when setting a schedule for operating the mobile object 30. FIG. 12 is a schematic diagram showing an example of a screen displayed on the display 141 of the terminal device 10 shown in FIG. 11. FIG. 12 is a schematic diagram showing another example of the screen displayed on the display 141 of the terminal device 10 shown in FIG. 11. FIG. It is a flowchart showing an example of the operation of the server 20 when confirming a set schedule before implementation. 12 is a schematic diagram showing an example of a screen displayed on the display 141 of the terminal device 10 shown in FIG. 11. FIG. It is a flowchart showing an example of the operation of the server 20 when setting a schedule based on prediction information updated using diagnosis results. 2 is a block diagram showing the basic hardware configuration of a computer 90. FIG.

Hereinafter, embodiments of the present disclosure will be described with reference to the drawings. In the following description, the same parts are given the same reference numerals. Their names and functions are also the same. Therefore, detailed descriptions thereof will not be repeated.

<Summary>
The system according to the present embodiment predicts the growth status of crops, the occurrence of diseases, and the occurrence of pests based on information regarding fields, information regarding crop planting, information regarding the environment, and the like. The system sets a purpose for operating the mobile object based on the predicted situation. The system determines the movement method of the mobile object according to the set purpose. If the mobile object is a device that moves on the ground, the movement method includes, for example, a movement route and a movement speed. When the mobile object is a device that moves in the air, the movement method includes, for example, a flight path, flight speed, and flight altitude.

<1 Configuration diagram of the entire system>
FIG. 1 is a block diagram showing an example of the overall configuration of the system 1. As shown in FIG. The system 1 shown in FIG. 1 includes, for example, a terminal device 10, a server 20, a mobile object 30, and an operating device 40. The terminal device 10, the server 20, the mobile object 30, and the operating device 40 are communicatively connected via a network 80, for example.

Although FIG. 1 shows an example in which the system 1 includes one terminal device 10, the number of terminal devices 10 included in the system 1 is not limited to one. The number of terminal devices 10 included in the system 1 may be two or more.

In this embodiment, a collection of multiple devices may be one server. How to allocate the multiple functions required to realize the server 20 according to this embodiment to one or more pieces of hardware will be determined based on the processing capacity of each piece of hardware and/or the specifications required of the server 20. It can be determined as appropriate. Further, the server 20 may be composed of a plurality of servers depending on the functions it has.

Although FIG. 1 shows an example in which the system 1 includes a set of moving objects 30 and an operating device 40, the number of moving objects 30 and operating devices 40 included in the system 1 is limited to one set. Not done. The number of moving bodies 30 and operating devices 40 included in the system 1 may be two or more. Further, the mobile body 30 may move autonomously or may move in response to an operation using the operating device 40. When the mobile body 30 moves autonomously, the operating device 40 does not need to be included in the system 1.

The terminal device 10 shown in FIG. 1 is, for example, an information processing device owned by a farmer (farm manager) who manages a field. The farm field includes, for example, a rice field and a field. The terminal device 10 receives operation instructions and information input from the user, and transmits predetermined information to the server 20. The predetermined information includes, for example, information regarding a field in which the user is involved, information regarding crop planting, and the like. It also receives information transmitted from the server 20 and information transmitted from the mobile object 30, and presents them to the user. The information transmitted from the server 20 includes, for example, information regarding the purpose of driving the mobile body 30 or information regarding the method of moving the mobile body 30. The information transmitted from the mobile body 30 includes, for example, information regarding the position (latitude, longitude, and height) of the mobile body 30, information regarding the stored amount of spray material, information regarding the remaining battery level, camera images, and the like.

The terminal device 10 is realized by, for example, a mobile terminal such as a smartphone or a tablet. The terminal device 10 may be a stationary PC (Personal Computer) or a laptop PC. The terminal device 10 may be a wearable terminal such as an HMD (Head Mount Display) or a wristwatch type terminal.

The terminal device 10 includes a communication IF (Interface) 12, an input device 13, an output device 14, a memory 15, a storage 16, and a processor 19. The input device 13 is a device (for example, a touch panel, a touch pad, a pointing device such as a mouse, a keyboard, etc.) for receiving input operations from a user. The output device 14 is a device (display, speaker, etc.) for presenting information to the user.

The server 20 is an information processing device that determines the movement method of the mobile body based on, for example, information input by the user, information transmitted from the mobile body 30, or information regarding the environment acquired from the outside.

The server 20 is realized, for example, by a computer connected to the network 80. As shown in FIG. 1, the server 20 includes a communication IF 22, an input/output IF 23, a memory 25, a storage 26, and a processor 29. The input/output IF 23 functions as an interface with an input device for receiving input operations from a user and an output device for presenting information to the user.

The mobile object 30 is a device that moves on the ground or in the air. The moving body 30 includes, for example, a tractor or a vehicle that moves on the ground using tires or crawlers. Further, the mobile object 30 includes, for example, a multi-copter type drone that has a propeller and moves in the air, or a fixed-wing drone that moves in the air with a fixed wing. The moving body 30 operates in response to operations from the operating device 40. Furthermore, the mobile object 30 may operate autonomously based on the movement method set by the server 20.

The operating device 40 is an information processing device that controls the operation of the mobile object 30 based on operations from the user. Further, the operating device 40 receives information transmitted from the server 20 or the mobile object 30 and presents it to the user.

The operating device 40 is realized by, for example, a mobile terminal such as a smartphone or a tablet. The operating device 40 may be a dedicated device for operating the moving body 30. The operating device 40 has an input section for accepting operations from a user, and an output section (display, speaker, etc.) for presenting information to the user.

Each information processing device is composed of a computer equipped with an arithmetic unit and a storage device. The basic hardware configuration of the computer and the basic functional configuration of the computer realized by the hardware configuration will be described later. Regarding each of the terminal device 10, the server 20, and the operating device 40, explanations that overlap with the basic hardware configuration of the computer and the basic functional configuration of the computer, which will be described later, will be omitted.

<1.1 Terminal device configuration>
FIG. 2 is a block diagram showing a configuration example of the terminal device 10 shown in FIG. 1. As shown in FIG. As shown in FIG. 2, the terminal device 10 includes a communication section 120, an input device 13, an output device 14, an audio processing section 17, a microphone 171, a speaker 172, a camera 160, and a position information sensor 150. , a storage section 180, and a control section 190. Each block included in the terminal device 10 is electrically connected by, for example, a bus or the like.

The communication unit 120 performs processing such as modulation/demodulation processing for the terminal device 10 to communicate with other devices. The communication unit 120 performs transmission processing on the signal generated by the control unit 190, and transmits the signal to the outside (for example, the server 20, the mobile object 30, or the operating device 40). The communication unit 120 performs reception processing on a signal received from the outside, and outputs the signal to the control unit 190.

The input device 13 is a device for a user operating the terminal device 10 to input instructions or information. The input device 13 is realized, for example, by a touch-sensitive device 131, etc., into which an instruction is input by touching an operation surface. When the terminal device 10 is a PC or the like, the input device 13 may be realized by a reader, a keyboard, a mouse, or the like. The input device 13 converts an instruction input from a user into an electrical signal, and outputs the electrical signal to the control unit 190. Note that the input device 13 may include, for example, a reception port that receives electrical signals input from an external input device.

The output device 14 is a device for presenting information to a user operating the terminal device 10. The output device 14 is realized by, for example, a display 141 or the like. The display 141 displays data according to the control of the control unit 190. The display 141 is realized by, for example, an LCD (Liquid Crystal Display), an organic EL (Electro-Luminescence) display, or the like.

The audio processing unit 17 performs, for example, digital-to-analog conversion processing on audio signals. The audio processing unit 17 converts the signal provided from the microphone 171 into a digital signal, and provides the converted signal to the control unit 190. Furthermore, the audio processing section 17 provides an audio signal to the speaker 172. The audio processing unit 17 is realized, for example, by a processor for audio processing. The microphone 171 receives a voice input and provides a voice signal corresponding to the voice input to the voice processing unit 17. The speaker 172 converts the audio signal provided from the audio processing unit 17 into audio and outputs the audio to the outside of the terminal device 10 .

The camera 160 is a device that receives light with a light receiving element and outputs it as a photographic signal.

The position information sensor 150 is a sensor that detects the position of the terminal device 10, and is, for example, a GPS (Global Positioning System) module. A GPS module is a receiving device used in a satellite positioning system. The satellite positioning system receives signals from at least three or four satellites, and detects the current position of the terminal device 10 equipped with a GPS module based on the received signals. The location information sensor 150 may detect the current location of the terminal device 10 from the location of a wireless base station to which the terminal device 10 connects.

The storage unit 180 is realized by, for example, the memory 15 and the storage 16, and stores data and programs used by the terminal device 10. The storage unit 180 stores, for example, farm information 181 and schedule information 182.

The farm information 181 includes, for example, information about the farmer who uses the terminal device 10. The information about the farm includes, for example, the names, addresses, contact information (telephone numbers, email addresses, etc.) of the members of the farm, field information, and the like.

The schedule information 182 includes information regarding the schedule for operating the mobile object 30 created by the server 20. The information regarding the schedule includes, for example, the scheduled date for operating the mobile body 30, the purpose for operating the mobile body 30, the method of moving the mobile body 30, and the like.

The control unit 190 is realized by the processor 19 reading a program stored in the storage unit 180 and executing instructions included in the program. The control unit 190 controls the operation of the terminal device 10. The control unit 190 functions as an operation reception unit 191, a transmission/reception unit 192, and a presentation control unit 193 by operating according to a program.

The operation reception unit 191 performs processing for accepting instructions or information input from the input device 13. Specifically, for example, the operation reception unit 191 receives instructions or information input from the touch-sensitive device 131 or the like.

Further, the operation reception unit 191 receives an image input from the camera 160. Specifically, for example, the operation reception unit 191 receives an image signal captured by the camera 160.

Additionally, the operation reception unit 191 receives audio information input from the microphone 171. Specifically, for example, the operation reception unit 191 receives an audio signal input from the microphone 171 and converted into a digital signal by the audio processing unit 17.

The transmitting/receiving unit 192 performs processing for the terminal device 10 to transmit and receive data with external devices such as the server 20, the mobile object 30, and the operating device 40 according to a communication protocol. Specifically, for example, the transmitting/receiving unit 192 transmits, to the server 20, information regarding the farmer (field), information regarding crop planting, etc. input by the user. Further, the transmitting/receiving unit 192 receives information regarding the schedule from the server 20.

The presentation control unit 193 controls the output device 14 in order to present predetermined information to the user. Specifically, for example, the presentation control unit 193 presents the user with information for the user to input information regarding farmers, information regarding crop planting, and the like. Further, the presentation control unit 193 presents information regarding the schedule created by the server 20 to the user.

<1.2 Functional configuration of the server>
FIG. 3 is a diagram showing an example of the functional configuration of the server 20. As shown in FIG. 3, the server 20 functions as a communication section 201, a storage section 202, and a control section 203.

The communication unit 201 performs processing for the server 20 to communicate with external devices.

The storage unit 202 includes, for example, a farmer information table 2021, a crop information table 2022, a pesticide information table 2023, an environment information table 2024, a purpose information table 2025, a schedule management table 2026, and the like.

The farm information table 2021 is a table that stores information regarding farmers. Details will be described later.

The crop information table 2022 is a table that stores information regarding crops planted by farmers. Details will be described later.

The pesticide information table 2023 is a table that stores information regarding pesticides. Details will be described later.

The environmental information table 2024 is a table that stores information regarding the environment of the field. Details will be described later.

The purpose information table 2025 is a table that stores information regarding the purpose of operating the mobile object 30. Details will be described later.

The schedule management table 2026 is a table for managing schedules for operating the mobile body 30. Details will be described later.

Furthermore, the storage unit 202 stores, for example, a growth prediction model 2027 and a pest outbreak prediction model 2028.

The growth prediction model 2027 is a model that predicts the growth of planted crops based on the type of crop, planting time, environmental information, etc. The growth prediction model 2027 predicts the amount of crop growth with respect to the number of days elapsed from the date of planting, based on, for example, the type of crop, the time of planting, and environmental information. The amount of crop growth includes, for example, the amount of leaves, leaf size, number of stems, fruit size, fruit color, panicle size, panicle color, etc. The growth prediction model 2027 may be constructed using a predetermined algorithm or may be constructed using a learned model.

The disease and pest outbreak prediction model 2028 is a model that predicts the occurrence of diseases and pests based on crop types, planting times, environmental information, etc. The pest and disease occurrence prediction model 2028 predicts the time of occurrence of diseases or pests, the manner of propagation, etc., based on, for example, the type of crop, the time of planting, environmental information, and the like. The pest outbreak prediction model 2028 may be constructed using a predetermined algorithm, or may be constructed using a learned model.

A learned model is, for example, a model that returns an output according to learned content in response to input information. The learned model is stored in advance when the server 20 provides a service.

A trained model is generated, for example, by having a machine learning model perform machine learning according to a model learning program. The learned model is, for example, a composite function with parameters that is a composite of multiple functions. A parameterized composite function is defined by a combination of multiple tunable functions and parameters. The trained model according to this embodiment may be any parameterized composite function that satisfies the above requirements.

For example, when a trained model is generated using a forward propagation multi-layered network, the parameterized synthesis function may be a linear relationship between each layer using a weight matrix, a non-linear relationship using an activation function in each layer, etc. (or a linear relationship), and a combination of bias. The weighting matrix and biases are called parameters of the multilayer network. The shape of a composite function with parameters changes depending on how the parameters are selected. In a multilayer network, by appropriately setting the constituent parameters, it is possible to define a function that can output a desired result from the output layer.

As the multilayer network according to the present embodiment, for example, a deep neural network (DNN), which is a multilayer neural network that is a target of deep learning, can be used.

The control unit 203 is realized by the processor 29 reading a program stored in the storage unit 202 and executing instructions included in the program. The control unit 203 operates according to the program to perform functions shown as a reception control module 2031, a transmission control module 2032, a growth prediction module 2033, a pest outbreak prediction module 2034, a purpose setting module 2035, a schedule setting module 2036, and a presentation control module 2037. Demonstrate function.

The reception control module 2031 controls the process by which the server 20 receives signals from an external device according to a communication protocol.

The transmission control module 2032 controls the process by which the server 20 transmits a signal to an external device according to a communication protocol.

The growth prediction module 2033 uses the growth prediction model 2027 to predict the growth of crops. Specifically, the growth prediction module 2033 inputs the planted crops, the planting date, information regarding the planted field, environmental information, etc. to the growth prediction model 2027. As the environmental information, past environmental information of the region where the field exists may be input, or future environmental information inferred from past environmental information of the region where the field exists may be input. The growth prediction model 2027 generates growth prediction information based on the input information.

The growth prediction information includes, for example, information predicting the amount of crop growth with respect to the number of days that have passed since the planting date.

When information regarding crop growth is acquired through growth diagnosis, the growth prediction module 2033 uses the acquired information to predict crop growth again.

The pest and disease occurrence prediction module 2034 uses the pest and disease occurrence prediction model 2028 to predict the occurrence of diseases or pests. Specifically, the pest and disease occurrence prediction module 2034 inputs the type of crop planted, the date of planting, information regarding the planted field, environmental information, etc. to the pest and disease occurrence prediction model 2028. The disease and pest outbreak prediction model 2028 generates disease outbreak prediction information or pest outbreak prediction information based on the input information.

The disease occurrence prediction information includes, for example, information predicting the time of disease occurrence and the manner of disease propagation based on the number of days that have passed since the date of planting. The pest outbreak prediction information includes, for example, information predicting pest outbreak timing, pest propagation method, etc. based on the number of days that have passed since the planting date.

When information regarding the outbreak of a disease is acquired through pathological diagnosis, the pest outbreak prediction module 2034 uses the acquired information to predict the outbreak of the disease again. When information regarding the outbreak of pests is acquired through pest diagnosis, the pest outbreak prediction module 2034 uses the acquired information to predict the outbreak of diseases again.

The purpose setting module 2035 sets the purpose for operating the mobile body 30 based on the generated growth prediction information, disease outbreak prediction information, pest outbreak prediction information, etc. For example, when the characteristics specified by the requirements included in the purpose information table 2025 occur in growth prediction information, disease outbreak prediction information, pest outbreak prediction information, etc., the purpose setting module 2035 sets the characteristics to be associated with the requirements. Set your purpose. Furthermore, when growth prediction information, disease outbreak prediction information, or pest outbreak prediction information is input, the objective setting module 2035 creates a trained model that is trained to output a purpose corresponding to the input information. You may use it to set your purpose.

Through the above processing, for example, the purpose setting module 2035 sets the purpose of growth diagnosis at the time when a predetermined characteristic occurs in the growth prediction information. The point in time when a certain characteristic occurs in the growth prediction information is the point in time when it is necessary to accurately grasp the growth situation, such as the point in time when an index representing the growth of a crop suddenly increases, and the point in time when the expected growth is This includes times when it is necessary to confirm whether or not healthy growth is occurring, such as when it is not desired. Further, for example, when a characteristic indicating poor growth occurs in the growth prediction information, the purpose setting module 2035 sets the purpose of effective topdressing application before and after the characteristic occurs. The purpose setting module 2035 may be set to have growth diagnosis or dispersion as a purpose, or may be set to have either one of them as a purpose.

Further, for example, when a characteristic indicating that a predetermined disease will occur in the disease occurrence prediction information occurs, the objective setting module 2035 may determine the occurrence of the disease that is predicted to occur within a predetermined period from the time when the characteristic occurs. Set for the purpose of pathological diagnosis. Further, for example, when a characteristic indicating the occurrence of a predetermined disease occurs in the disease occurrence prediction information, the objective setting module 2035 may determine whether or not the objective setting module 2035 is effective for the disease predicted to occur before and after the characteristic occurs. Set up for the purpose of distributing medicine. The purpose setting module 2035 may be set as a purpose of pathological diagnosis or dissemination, or may be set as a purpose of either one of them. Further, the purpose setting module 2035 may set the purpose of pathological diagnosis, dissemination, or both, depending on the disease that is predicted to occur.

Further, for example, when a feature indicating that a predetermined pest will occur in the pest outbreak prediction information occurs, the objective setting module 2035 determines the pest that is predicted to occur during a predetermined period from the time when the feature occurs. Set for the purpose of pest diagnosis. Further, for example, when a characteristic indicating that a predetermined pest will occur in the pest outbreak prediction information occurs, the objective setting module 2035 may be configured to determine the effective Set up for the purpose of distributing medicine. The purpose setting module 2035 may be set to have pest diagnosis or dispersal as a purpose, or may be set to have either one of them as a purpose. Further, the purpose setting module 2035 may be configured to have pest diagnosis and/or dispersal as the purpose, depending on the pest that is predicted to occur.

The purpose setting module 2035 is not limited to setting a purpose for operating the mobile body 30 for each farmer. For example, the purpose setting module 2035 may set a purpose for operating the mobile body 30 for a plurality of farmers. Specifically, for example, the objective setting module 2035 extracts farmers who have similar growth prediction information, disease outbreak prediction information, pest outbreak prediction information, or a combination of these from among farmers who own nearby fields. . Farmers who own neighboring fields refer to, for example, farmers located in the same city or town. Further, the farmers who own neighboring fields may be farmers who request work from a single collective pest control ordering organization. The purpose setting module 2035 sets a purpose for operating the mobile body 30 for fields owned by a plurality of farmers, based on the extracted growth prediction information, disease outbreak prediction information, pest outbreak prediction information, and the like.

When growth prediction information, disease outbreak prediction information, pest outbreak prediction information, etc. are newly generated using the information acquired by the diagnosis, the purpose setting module 2035 uses the information acquired by the diagnosis to The purpose of operating the mobile object 30 may be updated based on prediction information, pest outbreak prediction information, and the like.

The schedule setting module 2036 sets a schedule for operating the mobile body 30 based on information regarding the farmer and the set purpose. Specifically, the schedule setting module 2036 sets a date for operating the mobile body 30 based on the time point when a characteristic occurs in the growth prediction information, disease outbreak prediction information, or pest outbreak prediction information. In other words, the schedule setting module 2036 sets the date so that the mobile object 30 will operate within the predicted appropriate period in the target area. Further, the schedule setting module 2036 appropriately controls the mobile body 30 in the field according to the purpose, based on, for example, the position where crops are planted in the field owned by the farmer, the topography of the field, and the set purpose. Set the movement method to operate.

The schedule setting module 2036, for example, determines the reference movement method for each purpose, which is associated with the set purpose, based on the position where crops are planted in the field owned by the farmer and the topography on which the field is located. Set the appropriate movement method by adjusting the Furthermore, when the location where crops are planted in a farm owned by a farmer, the topography in which the field is located, and the purpose set are input, the schedule setting module 2036 outputs a travel method corresponding to the input information. The movement method may be set using a learned model trained as described above.

Appropriate transportation methods vary depending on the purpose. For example, when the mobile object 30 is a drone, the accuracy of images required for growth diagnosis and pathological diagnosis are different. Specifically, pathological diagnosis is more difficult to detect than growth diagnosis, and requires detailed images. Therefore, in pathological diagnosis, it is desirable to lower the flight altitude, increase the density of the flight path, and lower the flight speed than in the case of growth diagnosis. In pathological diagnosis, by lowering the flight altitude, increasing the density of the flight path, and lowering the flight speed than in growth diagnosis, it becomes possible to obtain detailed images and improve the accuracy of diagnosis. Similarly, the moving method of the moving body 30 differs depending on growth diagnosis, pathological diagnosis, pest diagnosis, and spraying.

Furthermore, even if the purpose is growth diagnosis, pathological diagnosis, or pest diagnosis, the appropriate transportation method will differ depending on the target of diagnosis. For example, in growth diagnosis, the movement method may be different for each site to be diagnosed. Further, in pathological diagnosis, the movement method may be different depending on the type of disease to be diagnosed. Specifically, for example, the required imaging range is different for diagnosing a disease in which lesions occur at the base of the plant and for a disease in which lesions actually occur. In fact, the flight altitude may be lower than when diagnosing a disease that causes lesions. Furthermore, in pest diagnosis, the movement method may be different for each type of pest to be diagnosed.

Furthermore, even if the purpose is to disperse, the appropriate moving method may be different depending on the material to be dispersed. This is because it is necessary to spray the spray material on the field at an appropriate concentration. The schedule setting module 2036 refers to the pesticide information table 2023 and selects a spray. In embodiments of the present application, the materials to be sprayed include pesticides, herbicides, liquid fertilizers, insecticides, seeds, and liquids or powders that are sprayed on fields, such as water. When setting the movement method, the schedule setting module 2036 takes into account that there is a limit to the amount of material that can be loaded on the moving body 30. In other words, the schedule setting module 2036 sets the movement method so that after a predetermined amount of the spray material is spread, the spray material returns to the place where the spray material is to be loaded. Furthermore, the schedule setting module 2036 sets a moving method that allows the user to efficiently spread the material while returning to the place where the material is to be loaded.

For example, the schedule setting module 2036 may set the movement route included in the movement method so as to maximize the area of the field where processing according to the purpose can be executed at an appropriate time. In other words, the schedule setting module 2036 sets the travel route included in the travel method so as to minimize the total work time when performing work on the target field. Specifically, the schedule setting module 2036 determines, for example, the work time for working above or within the field, the work preparation time, the inter-field travel time for moving between fields, and the total work time that is the sum of correction coefficients. Set the travel route so that it is the minimum. The work preparation time represents the time required for preparation, which is the sum of the time required to load the spray material, the time required to replace the battery, etc. The correction coefficient represents the time calculated based on the wind direction, topography, etc. It is desirable that the material be spread along a route from upwind to downwind. Furthermore, it is desirable that the material be sprayed along a route from low-altitude areas to high-altitude areas. The schedule setting module 2036 takes into consideration the wind direction, topography, etc. and accounts for the time that would occur when taking a more effective route as a correction factor. In the present embodiment, the movement route includes a route above or within a field, and a route between the fields if there are a plurality of fields separated from each other.

The schedule setting module 2036 is not limited to setting schedules for operating the mobile units 30 for individual farmers. For example, the schedule setting module 2036 may collectively set the dates on which the mobile bodies 30 are to be operated on fields owned by a plurality of farmers, and the method of moving the mobile bodies 30. Specifically, for example, the schedule setting module 2036 sets the date for operating the mobile body 30 and the movement method of the mobile body 30 based on the purpose set individually for a plurality of neighboring farmers. Further, for example, the schedule setting module 2036 may set the date on which the mobile body 30 is to be operated and the method of moving the mobile body 30 based on the purpose set collectively for a plurality of neighboring farmers.

When the purpose of operating the mobile body 30 is updated using the information obtained through diagnosis, the schedule setting module 2036 sets the date for operating the mobile body 30 and the movement of the mobile body 30 based on the updated purpose. The method may be updated.

The presentation control module 2037 presents information regarding the operation of the mobile object 30 to the user. Specifically, for example, the presentation control module 2037 presents the set schedule (date, purpose, travel method) to the user. Further, the presentation control module 2037 presents information regarding the operation to the user when the date on which the mobile object 30 operates, which is determined in the set schedule, approaches.

<1.3 Configuration of mobile object>
FIG. 4 is a block diagram showing an example of the configuration of the moving body 30 shown in FIG. 1. As shown in FIG. As shown in FIG. 4, the mobile body 30 includes a communication unit 301, an input device 302, an output device 303, a drive device 304, a spraying device 305, a camera 306, a sensor 307, a storage unit 308, A control unit 309 is provided. Each block included in the moving body 30 is electrically connected by, for example, a bus or the like.

The communication unit 301 performs processing such as modulation/demodulation processing for the mobile body 30 to communicate with other devices. The communication unit 301 performs transmission processing on the signal generated by the control unit 309, and transmits the signal to the outside (for example, the terminal device 10, the server 20, or the operating device 40). The communication unit 301 performs reception processing on a signal received from the outside, and outputs the signal to the control unit 390.

The input device 302 is a device for a user using the mobile object 30 to input instructions and the like. The input device 302 is realized by, for example, a switch or the like.

The output device 303 is a device for presenting information to the user operating the mobile object 30. The output device 303 is realized by, for example, a display means such as an LED, a warning light, or a display. Further, the output device 303 may be realized by a sounding means such as a buzzer or a speaker.

The drive device 304 is a device for moving the moving body 30. When the mobile object 30 is a device that moves on the ground, the drive device 304 includes, for example, a motor, tires, and the like. Furthermore, when the mobile object 30 is a device that moves in the air, the drive device 304 includes, for example, a motor, a propeller, and the like.

The spraying device 305 is a device for spraying a spray material. The spraying device 305 includes, for example, a tank for storing the spray material, a nozzle for spraying the spray material, a pump for sucking the spray material stored in the tank and spraying it from the nozzle, and the like. The spraying device 305 may include a sensor or the like that measures the amount of the spray material in the tank, and may monitor the remaining amount of the spray material in the tank.

The camera 306 is a device that receives light with a light receiving element and outputs it as a photographic signal. The camera 306 includes, for example, a first camera for performing growth diagnosis and a second camera for performing pathological diagnosis or pest diagnosis. The first camera may be, for example, a camera that receives visible light, or a multispectral camera that receives light in multiple bands. The second camera is, for example, a camera that receives visible light. Since pathological diagnosis requires more detailed images of crops than growth diagnosis, the second camera may have a higher resolution than the first camera. The first camera and the second camera may be independent devices, or may be devices with a shared optical system configuration.

The sensor 307 is a sensor for acquiring information used when the moving body 30 moves. The sensor 307 is, for example, a 6-axis gyro sensor that measures acceleration in three directions perpendicular to each other, a geomagnetic sensor that measures the direction of the moving body 30 by measuring geomagnetism, an atmospheric pressure sensor that measures atmospheric pressure, a laser beam, or an ultrasonic wave. The sensor includes an altitude sensor that measures the altitude of the moving object 30, and a position information sensor that detects the position of the moving object 30. The position information sensor is, for example, a GPS (Global Positioning System) module. A GPS module is a receiving device used in a satellite positioning system. Note that the sensor included in the moving body 30 is not limited to this. Any one of these sensors may not be provided, or a different sensor may be provided. For example, it may include an angular velocity sensor for measuring the inclination of the aircraft, a wind sensor for measuring wind force, and the like.

The storage unit 308 is realized by, for example, a memory, storage, etc., and stores data and programs used by the mobile object 30. The storage unit 308 stores, for example, a movement method 3081 set in the server 20.

The control unit 309 is realized by the processor reading a program stored in the storage unit 308 and executing instructions included in the program. The control unit 309 controls the operation of the moving body 30. The control unit 309 functions as an operation reception unit 3091, a transmission/reception unit 3092, a movement control unit 3093, an imaging control unit 3094, and a dispersion control unit 3095 by operating according to a program.

The operation reception unit 3091 performs processing to receive instructions or information input from the input device 302. Further, the operation reception unit 3091 receives an image input from the camera 306.

The transmitting/receiving unit 3092 performs processing for the mobile body 30 to transmit and receive data with external devices such as the terminal device 10, the server 20, and the operating device 40 according to a communication protocol. Specifically, for example, the transmitting/receiving unit 3092 transmits an image photographed by the camera 306 to the terminal device 10 or the server 20. Further, the transmitting/receiving unit 3092 receives information regarding the movement method transmitted from the terminal device 10 and the server 20, and stores it in the storage unit 308. Further, the transmitting/receiving unit 3092 receives an operation signal transmitted from the operating device 40.

The movement control unit 3093 controls the movement of the moving body 30. Specifically, for example, the movement control unit 3093 controls the drive device 304 based on information acquired from the sensor 307.

The photographing control unit 3094 controls photographing by the camera 306. Specifically, for example, when the imaging control unit 3094 is instructed to start imaging in growth diagnosis, pathological diagnosis, or pest diagnosis, it causes the camera 306 to start imaging. When the photographing control unit 3094 is instructed to end the photographing, the photographing control unit 3094 ends the photographing.

The spraying control unit 3095 controls the spraying of the spray material by the spraying device 305. Specifically, for example, when the spraying control unit 3095 is instructed to spread the spraying material, the spraying device 305 causes the spraying device 305 to spray the spraying material. The spraying control unit 3095 ends the spraying when instructed to finish the spraying.

<2 Data structure>
5 to 11 are diagrams showing data structures of tables stored in the server 20. Note that FIGS. 5 to 11 are examples, and do not exclude data not described. Further, even data written in the same table may be stored in separate storage areas in the storage unit 202.

FIG. 5 is a diagram showing the data structure of the farm information table 2021. The farm information table 2021 shown in FIG. 5 is a table that uses the farm ID as a key and has columns such as name, address, contact information, and field information.

The farmer ID is an item that stores an identifier for uniquely identifying a farmer. Name is an item that stores the names of the members of the farm. The name to be remembered is not limited to one person. Address is an item that stores the address of the farmer. Contact information is an item that stores the contact information of the farmer. The field information is an item that stores information regarding the field. The information regarding the field includes, for example, the address of the field, the position coordinates of the field, the altitude of the field, the area of the field, the quality of the soil of the field (for example, nitrogen concentration, drainage, etc.). In other words, the information regarding the field includes, for example, information regarding the topography of the field.

A record in the farm information table 2021 is created, for example, when a farmer registers as a user in a service provided by the server 20. A farmer ID is issued when a record is created. Name, address, contact information, field information, etc. are entered by the farmer who wishes to register when registering as a user. Inputting field information includes inputting an address or specifying with reference to a map.

FIG. 6 is a diagram showing the data structure of the crop information table 2022. The crop information table 2022 shown in FIG. 6 is a table for managing crops planted by a farmer, and has columns such as crop ID, crop name, planting date, and planting area, using the farmer ID as a key.

The crop ID is an item that stores an identifier for uniquely identifying a crop. The crop name is an item that stores the name of the crop. The planting date is an item that stores the date on which the crop was planted. The planting area is an item that stores the field where crops are planted, or the area (section) in the field.

A record in the crop information table 2022 is created, for example, when it is input that a farmer has planted a crop. A record in the crop information table 2022 may be created by a farmer selecting a crop and inputting a planned planting date. When creating a record, the crop ID and crop name of the crop specified by the farmer are stored in the record, and the date of planting is stored as the planting date. In addition, cropping may also be expressed as sowing. Inputting the planting area includes inputting an address or specifying it with reference to a map.

FIG. 7 is a diagram showing the data structure of the pesticide information table 2023. The pesticide information table 2023 shown in FIG. 7 is a table having columns such as pesticide ID, pesticide name, usage/dose, and application. The pesticide information table 2023 may have a column that stores information regarding the movement method.

The pesticide ID is an item that stores an identifier for uniquely identifying a pesticide. The pesticide name is an item that stores the name of the pesticide. Usage/Dose is an item for storing the method of using the pesticide and the amount when using it. The usage field is an item for remembering how the pesticide is used.

FIG. 8 is a diagram showing the data structure of the environment information table 2024. The environmental information table 2024 shown in FIG. 8 is a table having columns such as date, weather, atmospheric pressure, temperature, humidity, wind direction, and sunshine hours, using the region ID as a key.

The region ID is an item that stores an identifier for uniquely identifying a region. For example, the region ID is set for each predetermined region. For example, a region ID is set for each region that is large enough to handle climate collectively, for example, for each region such as a city, town, or village. Date is an item that stores the date on which the environmental information was acquired. Weather, atmospheric pressure, temperature, humidity, wind direction, and sunshine hours are items that each represent the configuration of environmental information. Weather, atmospheric pressure, temperature, humidity, wind direction, and sunshine hours are measured by, for example, a predetermined external organization and the measured values are provided.

FIG. 9 is a diagram showing the data structure of the purpose information table 2025. The purpose information table 2025 shown in FIG. 9 is a table having columns such as purpose and requirements.

Purpose is an item for storing the purpose of operating the mobile object 30. In Figure 9, "growth diagnosis", "pathological diagnosis (disease 1)", "pathological diagnosis (disease 2)", "pest diagnosis (pest pest 1)", and "spraying (pesticide 1)" are listed as "purpose" in Figure 9. has been done. Other purposes may be stored. Requirements are items that store requirements for setting purposes. The requirements include occurrence of a predetermined characteristic in growth prediction information, disease outbreak prediction information, or pest outbreak prediction information, occurrence of a predetermined characteristic in environmental information, or a combination thereof. The occurrence of a predetermined characteristic in environmental information means, for example, that there are a predetermined period of days when the weather, temperature, humidity, sunshine hours, etc. do not reach the predetermined conditions, or there are predetermined periods of days when the conditions do reach the predetermined conditions. include.

FIG. 10 is a diagram showing the data structure of the schedule management table 2026. The schedule management table 2026 shown in FIG. 10 is a table in which information related to schedules is stored, and has columns such as scheduled date, purpose, and transportation method, using the farmer ID as a key.

The scheduled date is an item that stores the date on which the operation is scheduled to be performed by the mobile object 30. Purpose is an item that stores the purpose of the operation to be performed on the scheduled date. The movement method is an item that stores the method by which the mobile object 30 moves in an operation to be performed on a scheduled date.

A record in the schedule management table 2026 is created, for example, when the server 20 sets a schedule for the mobile body 30 to operate. For example, when creating a record, information is stored on the set scheduled date, purpose, and movement method.

<3 Operation>
The operation of the terminal device 10 and the server 20 when setting a movement method for the mobile object 30 will be described.

FIG. 11 is a schematic diagram showing an example of the configuration of the system 1 according to the present embodiment. In the following description, a case where the mobile object 30 is a drone will be described as an example.

(Schedule setting process)
FIG. 12 is a diagram illustrating the operations of the terminal device 10 and the server 20 when setting a schedule for operating the mobile object 30. In this description, it is assumed that information on several farmers is stored in the farm information table 2021 in advance, for example.

In step S11, the control unit 190 of the terminal device 10 first receives information regarding crop planting. Specifically, for example, a user belonging to a predetermined farm operates the terminal device 10 to open a form for inputting information regarding crop planting. The form may be displayed by accessing a predetermined site or by launching a predetermined application. The user inputs, for example, the crops to be planted in the displayed form. In addition, the user inputs information regarding the area in which crops are to be planted in the field that the user owns into the displayed form. The user also inputs the planned planting date into the displayed form.

The control unit 190 uses the transmitting/receiving unit 192 to transmit the farm ID to which the user belongs and the information input by the user to the server 20.

In step S21, the control unit 203 of the server 20 uses the growth prediction module 2033 to predict the growth of crops and create growth prediction information. Specifically, for example, the growth prediction module 2033 acquires information about the crops to be planted, the area in which the crops are to be planted, and the scheduled planting date input by the user. For example, the growth prediction module 2033 acquires information regarding the field of the corresponding farmer from the farm information table 2021 based on the farm ID transmitted from the user. The growth prediction module 2033 acquires environmental information related to the field from the environmental information table 2024 based on, for example, the address of the field. The growth prediction module 2033 inputs, for example, the acquired information, that is, information regarding crops to be planted, areas to be planted, scheduled planting dates, information regarding fields to be planted, and environmental information, to the growth prediction model 2027. The growth prediction model 2027 generates growth prediction information based on the input information.

In step S22, the control unit 203 uses the disease and pest outbreak prediction module 2034 to predict the outbreak of a disease and create disease outbreak prediction information. Furthermore, the pest and disease occurrence prediction module 2034 predicts the occurrence of pests and creates pest outbreak prediction information. Specifically, the pest and disease occurrence prediction module 2034 uses, for example, the information acquired by the growth prediction module 2033, that is, information regarding crops to be planted, areas to be planted, scheduled planting dates, information regarding fields to be planted, and environmental information. Input to pest outbreak prediction model 2028. The disease and pest outbreak prediction model 2028 generates disease outbreak prediction information or pest outbreak prediction information based on the input information.

In step S23, the control unit 203 uses the purpose setting module 2035 to set the purpose for flying the drone, which is an example of the mobile object 30. Specifically, for example, the purpose setting module 2035 sets the purpose of flying the drone based on the generated growth prediction information, disease outbreak prediction information, and pest outbreak prediction information. The purpose setting module 2035 sets the purpose for flying the drone by comparing, for example, characteristics included in growth prediction information, disease outbreak prediction information, pest outbreak prediction information, etc., with the requirements included in the purpose information table 2025. do.

For example, when a predetermined characteristic occurs in the growth prediction information, the purpose setting module 2035 sets growth diagnosis as the flight purpose at the time when the characteristic occurs. Further, for example, when a characteristic indicating poor growth occurs in the growth prediction information, the purpose setting module 2035 sets the purpose of effective top-dressing application before and after the characteristic occurs.

In addition, for example, when a characteristic indicating that a predetermined disease will occur in the disease occurrence prediction information occurs, the purpose setting module 2035 can determine the occurrence of the disease that is predicted to occur within a predetermined period from the time when the characteristic occurs. Set pathology diagnosis as the flight purpose. In addition, for example, when a characteristic indicating the occurrence of a predetermined disease occurs in the disease occurrence prediction information, the purpose setting module 2035 determines the effective method for the disease predicted to occur before and after the characteristic occurs. Set the purpose of the flight to be the dispersion of medicine.

In addition, for example, when a feature indicating that a predetermined pest will occur in the pest outbreak prediction information occurs, the objective setting module 2035 determines the pest that is predicted to occur within a predetermined period from the time when the feature occurs. Set pest diagnosis as the flight purpose. In addition, for example, when a characteristic indicating that a predetermined pest will occur in the pest outbreak prediction information occurs, the objective setting module 2035 sets an effective method for the pest that is predicted to occur before and after the characteristic occurs. Set the purpose of the flight to be the dispersion of medicine.

In step S24, the control unit 203 uses the schedule setting module 2036 to set a schedule for flying the drone. The schedule includes, for example, dates and flight methods. Specifically, for example, the schedule setting module 2036 sets the date on which the drone is to fly based on the time point when a characteristic occurs in the growth prediction information, disease outbreak prediction information, or pest outbreak prediction information. Further, the schedule setting module 2036 acquires information regarding the field from the farmer information table 2021 and information regarding the area where crops are planted from the crop information table 2022, for example, based on the farmer ID transmitted from the user. The schedule setting module 2036 obtains, for example, the flight method associated with the set flight purpose. In the acquired flight method, for example, the flight altitude, flight speed, and flight route corresponding to the flight purpose are set. For example, the schedule setting module 2036 sets a flight method suitable for flight in an area in a field where crops are planted, based on the acquired flight method. The schedule setting module 2036 adjusts the flight path by referring to, for example, the location, size, and location environment of the area where crops are planted.

The control unit 203 uses the transmission control module 2032 to transmit information regarding the set schedule to the terminal device 10.

In step S12, the control unit 190 receives the information transmitted from the server 20 through the transmitting/receiving unit 192. The control unit 190 uses the presentation control unit 193 to present information regarding the schedule to the user. Specifically, the presentation control unit 193 causes the display 141 to display information regarding the schedule.

FIG. 13 is a schematic diagram showing an example of a screen displayed on the display 141 of the terminal device 10 shown in FIG. 11. As shown in FIG. 13, the display 141 of the terminal device 10 displays a flight schedule including three flight schedules. For example, the first schedule is flight purpose: "Growth diagnosis", flight method: "Flight method 1", scheduled date: "MM month DD 1st TT time of YY", "MM month DD 2nd of YY year TT time" It is. In FIG. 13, the flight method: "Flight method 1" is displayed, but in reality, the flight altitude, flight speed, flight route, etc. are set according to the flight purpose. Further, for example, the second schedule is flight purpose: "pathological diagnosis (disease A)", flight method: "flight method 2", and scheduled date: "YY year MM month DD day TT time". In FIG. 13, flight method: "Flight method 2" is displayed, but in reality, the flight altitude, flight speed, flight route, etc. are set according to the flight purpose. Further, for example, the third schedule is flight purpose: "pathological diagnosis (disease B)", flight method: "flight method 3", and scheduled date: "YY year MM month DD day TT time". Although the flight method: "Flight Method 3" is displayed in FIG. 13, the flight altitude, flight speed, flight route, etc. are actually set according to the flight purpose.

(Variation example of schedule setting process)
In the example shown in FIG. 12, a case has been described in which the schedule set by the server 20 is presented to the user as the determined schedule. However, the schedule set by the server 20 may be a candidate for determining the schedule. For example, the terminal device 10 receives information regarding the schedule set in step S24. The presentation control unit 193 causes the display 141 to display information regarding schedules as schedule candidates. For example, the presentation control unit 193 displays a button for instructing whether or not to adopt each flight schedule included in the schedule. Further, the presentation control unit 193 displays, for example, a button for instructing whether to propose a different schedule again in each flight schedule included in the schedule.

FIG. 14 is a schematic diagram showing another example of the screen displayed on the display 141 of the terminal device 10 shown in FIG. 11. As shown in FIG. 14, the display 141 of the terminal device 10 displays a flight schedule including three flight schedules. The display 141 displays buttons 1411, 1412, and 1413 for instructing "accept", "repropose", and "reject" for the flight schedule. When the user presses the adoption button 1411, the schedule setting module 2036 determines the flight schedule as a confirmed schedule. When the user presses the reject button 1413, the schedule setting module 2036 excludes the flight schedule from the schedule. When the user presses the re-suggestion button 1412, the schedule setting module 2036 changes the scheduled date of the flight schedule and proposes the changed date.

In the example shown in FIG. 12, the server 20 sets a drone flight purpose for each farmer in step S23, and sets a schedule for each farmer based on the set flight purpose in step S24. I explained the case. However, steps S23 and S24 are not limited to targeting individual farmers. For example, the server 20 may target multiple farmers at once in step S23 and step S24.

For example, in step S23, the purpose setting module 2035 collectively sets the flight purpose of the drone for a plurality of farmers. Specifically, for example, the objective setting module 2035 extracts farmers who have similar growth prediction information, disease outbreak prediction information, pest outbreak prediction information, or a combination of these from among farmers who own nearby fields. . Being similar includes, for example, occurrence of the same characteristics within a predetermined temporal range in growth prediction information, disease outbreak prediction information, or pest outbreak prediction information. The purpose setting module 2035 may use the learned model to extract farmers who have similar growth prediction information, disease outbreak prediction information, pest outbreak prediction information, or a combination thereof. The purpose setting module 2035 sets a purpose for flying the drone for a plurality of farmers based on the growth prediction information, disease outbreak prediction information, pest outbreak prediction information, etc. created for the extracted farmers.

In step S24, the schedule setting module 2036 sets the date on which the drone is to be flown and the method of flying the drone, based on the purpose set collectively for a plurality of nearby farmers. At this time, the schedule setting module 2036 sets the flight route included in the flight method, for example, so as to maximize the area of a field where processing according to the flight purpose can be executed at an appropriate time. In other words, the schedule setting module 2036 sets the flight path included in the flight method so as to minimize the total work time when performing the work in the field area to be performed.

Specifically, for example, if the areas to be implemented are far apart, the schedule setting module 2036 connects the areas with the shortest route. In addition, the schedule setting module 2036 sets the time when characteristics occur in growth prediction information, disease outbreak prediction information, or pest outbreak prediction information as an appropriate time, and sets a scheduled date for flying the drone within a predetermined period from the appropriate time. . Further, for example, when the purpose is to spray an insecticide, the schedule setting module 2036 sets a route so that the route for spraying the insecticide is continuous.

Furthermore, for example, the server 20 may target each individual farmer in step S23, and may target multiple farmers at once in step S24. Specifically, for example, in step S24, the schedule setting module 2036 sets the same flight purpose for a plurality of neighboring farmers, and sets the same characteristics in growth prediction information, disease outbreak prediction information, or pest outbreak prediction information. Farmers who are close to the time when this occurred are extracted. The schedule setting module 2036 sets a schedule for flying the drone for the plurality of extracted farmers.

(Reminding process of movement by moving object 30)
FIG. 15 is a flowchart illustrating an example of the operation of the server 20 when confirming a set schedule before implementation.

In step S31, the presentation control module 2037 of the control unit 203, for example, refers to the schedule management table 2026 and extracts schedules that have a predetermined number of days left until the scheduled date.

In step S32, the presentation control module 2037 presents to the farmer, for example, that the implementation date of the extracted schedule is coming soon. Specifically, for example, the presentation control module 2037 transmits to the terminal device 10 owned by the farmer that the implementation date of the set schedule is coming soon, and causes the display 141 to display this fact.

Further, the presentation control module 2037 may determine whether or not the schedule for the scheduled implementation has been arranged, and if not, display a message to confirm whether or not the implementation schedule is necessary. Arrangements for implementation include, for example, when the farmer does not operate the movable body 30 himself, requesting the operator of the movable body 30 to operate it on the scheduled date. Furthermore, if the farmer does not own the mobile body 30, it includes requesting the loan of the mobile body 30 on the scheduled date.

FIG. 16 is a schematic diagram showing an example of a screen displayed on the display 141 of the terminal device 10 shown in FIG. 11. As shown in FIG. 16, the display 141 indicates that the scheduled date for the flight purpose: "Growth Diagnosis": "TT time, DD1, MM, YY" is approaching. The display 141 also displays buttons 1414 and 1415 for confirming that the diagnosis has not yet been arranged and whether or not the diagnosis is necessary.

The transmission control module 2032 transmits information regarding the schedule stored in the schedule management table 2026 to the designated mobile object 30. At this time, the transmission control module 2032 may transmit information to the mobile body 30 according to the designation of the mobile body 30 received from the user. Further, the transmission control module 2032 may transmit information to the mobile object 30 designated in advance at a predetermined time on the scheduled date.

Additionally, the transmission control module 2032 may transmit information regarding the schedule stored in the schedule management table 2026 to the designated operating device 40. At this time, the transmission control module 2032 may transmit information to the operating device 40 in accordance with the designation of the operating device 40 received from the user. Furthermore, the transmission control module 2032 may transmit information to a pre-designated operating device 40 at a predetermined time on a scheduled date.

Additionally, the control unit 190 of the terminal device 10 may transmit information regarding the schedule stored in the schedule information 182 to the designated mobile object 30 using the transmitting/receiving unit 192. At this time, the transmitting/receiving unit 192 may transmit information to the mobile body 30 according to the designation of the mobile body 30 received from the user. Further, the transmitting/receiving unit 192 may transmit information to the mobile object 30 specified in advance at a predetermined time on the scheduled date.

Furthermore, the control unit 190 of the terminal device 10 may transmit information regarding the schedule stored in the schedule information 182 to the designated operating device 40 using the transmitting/receiving unit 192. At this time, the transmitting/receiving unit 192 may transmit information to the operating device 40 in accordance with the designation of the operating device 40 received from the user. Further, the transmitting/receiving unit 192 may transmit information to a pre-specified operating device 40 at a predetermined time on a scheduled date.

(Modified example of action reminder processing)
The schedule may change due to certain circumstances. If a predetermined situation occurs, the schedule setting module 2036 changes the schedule. The predetermined circumstances are, for example, as follows.
・Changes in weather (e.g. rain, etc.)
・Schedule changes due to operator factors (for example, poor physical condition, etc.)
・Schedule changes due to 30 reasons for mobile objects (e.g. breakdown, etc.)
・Schedule changes for farmer factors

Changes in the schedule include, for example, changes in the scheduled date and changes in the flight method. Changing the flight method includes, for example, changing the flight path.

Specifically, for example, when it is detected that the above event has occurred, the presentation control module 2037 presents the user with a message as to whether or not to accept the schedule change. If the user accepts the schedule change, the schedule setting module 2036 sets the schedule to a date when the user's schedule is free and the predetermined circumstances are resolved. In addition, the schedule setting module 2036 takes into account the weather and sets a flight method that allows operations to be carried out efficiently in accordance with the objective. Note that the presentation control module 2037 may change the schedule without receiving consent from the user.

If the schedule is changed, the presentation control module 2037 presents the details of the change to the user. Specifically, when the scheduled date is changed to a predetermined date, the presentation control module 2037 presents the scheduled date and the changed date to the user. Furthermore, when there is a change in the flight method, the presentation control module 2037 presents the planned flight method and the changed flight method to the user.

(Schedule update process)
Growth prediction information, disease outbreak prediction information, or pest outbreak prediction information may change depending on the actual environment, actual growth, and the like. Therefore, when a growth diagnosis, a pathological diagnosis, or a pest diagnosis is carried out, the details of the carried out diagnosis may be referred to and the growth prediction information, disease outbreak prediction information, or pest outbreak prediction information may be updated.

FIG. 17 is a flowchart illustrating an example of the operation of the server 20 when setting a schedule based on prediction information updated using diagnosis results.

In step S41, the reception control module 2031 of the control unit 203 acquires the diagnosis result. Specifically, for example, the reception control module 2031 acquires information acquired by growth diagnosis, pathological diagnosis, or pest diagnosis.

In step S42, the control unit 203 uses the growth prediction module 2033 to refer to the acquired growth diagnosis information and updates the growth prediction information.

In step S43, the control unit 203 updates the disease outbreak prediction information by referring to the acquired pathological diagnosis information by the pest outbreak prediction module 2034. Furthermore, the pest outbreak prediction module 2034 refers to the acquired pest diagnosis information and updates pest outbreak prediction information.

In step S44, the control unit 203 uses the purpose setting module 2035 to set the purpose of flying the drone based on the updated growth prediction information, disease outbreak prediction information, and pest outbreak prediction information. The purpose setting module 2035, for example, compares the characteristics included in the updated growth prediction information, disease outbreak prediction information, pest outbreak prediction information, etc. with the requirements included in the purpose information table 2025, and flies the drone. Set your purpose.

In step S45, the control unit 203 uses the schedule setting module 2036 to set a schedule for flying the drone. Specifically, for example, the schedule setting module 2036 sets the date on which the drone will fly based on the time point when a characteristic occurs in the updated growth prediction information, disease outbreak prediction information, or pest outbreak prediction information. Further, the schedule setting module 2036 sets, for example, a flight method suitable for the set purpose.

As described above, in the embodiment described above, the control unit 203 of the server 20 receives information regarding the planted crops from the user using the reception control module 2031. The control unit 203 uses the growth prediction module 2033 and the pest and disease occurrence prediction module 2034 to predict at least one of growth, pathology, and pests based on the received information on crops, information on the field owned by the user, and information on the environment of the field. Create predictive information regarding The control unit 203 uses the purpose setting module 2035 to set a purpose for operating the mobile object 30 based on the prediction information. The control unit 203 uses the schedule setting module 2036 to set a date for operating the mobile body 30 based on the prediction information, and sets a movement method for the mobile body 30 based on the purpose and information regarding the field. Thereby, even if the field manager does not have particular agricultural experience, it becomes possible to operate the mobile body 30 at an appropriate time.

Therefore, according to the server 20 according to the present embodiment, the operation of the mobile bodies 30 can be effectively controlled in the field while reducing the burden on the manager of the field. Therefore, the field can be appropriately managed even if the field manager does not have any particular agricultural experience.

Furthermore, in the above embodiment, the reception control module 2031 receives the planting date as information regarding crops. The growth prediction module 2033 and the pest and disease occurrence prediction module 2034 create prediction information based on the planting date. This allows the control unit 203 to improve the accuracy of prediction information.

Furthermore, in the above embodiment, the reception control module 2031 receives information from the user regarding the plots in which crops are planted in the field. The schedule setting module 2036 sets the travel method based on the partition. This allows the control unit 203 to set the movement method with higher precision.

Furthermore, in the embodiment described above, the purpose setting module 2035 collectively sets the purpose for operating the mobile object 30 for a plurality of users based on the prediction information created for the plurality of users. The schedule setting module 2036 sets a date for operating the mobile body 30 based on the predicted information about the plurality of users, and determines the movement method of the mobile body 30 based on the collectively set purpose and information regarding the fields of the plurality of users. Set. Thereby, it becomes possible to collectively set a schedule for operating the mobile body 30 for a plurality of users, and it becomes possible to operate the mobile body 30 efficiently.

Furthermore, in the above embodiment, the schedule setting module 2036 sets the date for operating the mobile object 30 based on the prediction information about the plurality of users, and the schedule setting module 2036 sets the date for operating the mobile object 30 based on the prediction information about the plurality of users, and The movement method of the mobile object 30 is set based on the information. Thereby, it becomes possible to collectively set a schedule for operating the mobile body 30 for a plurality of users, and it becomes possible to operate the mobile body 30 efficiently.

Furthermore, in the above embodiment, the presentation control module 2037 presents the set date, purpose, and travel method to the user. This allows the user to set a schedule for operating the mobile body 30 at an appropriate time even if the user does not have any particular agricultural experience.

Furthermore, in the above embodiment, the reception control module 2031 receives from the user whether or not to adopt the set date, purpose, and travel method. When the schedule setting module 2036 receives a hiring instruction from the user, it determines the set date, purpose, and travel method. When the schedule setting module 2036 receives an instruction of rejection from the user, it deletes the set date, purpose, and travel method. Thereby, the user can set whether or not to operate the mobile object 30 as necessary. This will improve the usability of the service.

Furthermore, in the above embodiment, the reception control module 2031 receives from the user whether or not to request a re-proposal regarding the set date, purpose, and travel method. When the schedule setting module 2036 receives a re-proposal instruction from the user, it changes the set date. The presentation control module 2037 presents the changed date, purpose, and movement method to the user. This allows the user to adjust the schedule of the mobile object 30 to suit his/her own schedule. This will further improve the usability of the service.

Additionally, in the above embodiment, the schedule setting module 2036 changes the date, the travel method, or both depending on predetermined circumstances. The presentation control module 2037 presents the changed date, purpose, and movement method to the user. This makes it possible to change the schedule and implement it even if a predetermined situation occurs just before the scheduled date. Therefore, diagnosis, spraying, etc. can be carried out effectively at the appropriate time, and the ease of use of the service will be further improved.

Furthermore, in the above embodiment, when a predetermined number of days have passed until the set date, the presentation control module 2037 presents to the user that the set date is near. This allows the user to grasp the schedule for operating the mobile object 30 at an appropriate time.

Furthermore, in the embodiment described above, the reception control module 2031 receives the necessity of making arrangements for operating the mobile object 30. This makes it possible to prevent the user from forgetting to make arrangements when requesting another company to operate the mobile object 30 or lending the mobile object 30 from another company.

Furthermore, in the above embodiment, the growth prediction module 2033 and the pest and disease occurrence prediction module 2034 update prediction information based on information obtained by diagnosing crops. The purpose setting module 2035 sets a purpose for operating the mobile object 30 based on the updated prediction information. The schedule setting module 2036 sets a date for operating the mobile body 30 based on the updated prediction information, and sets a movement method for the mobile body 30 based on the purpose set based on the updated prediction information and information regarding the field. . This improves prediction accuracy, making it possible to more appropriately set the date, purpose, and travel method.

Furthermore, in the above embodiment, the schedule setting module 2036 sets the movement route included in the movement method so as to minimize the total working time when moving the mobile body 30 in the field. This maximizes the area of the field where operations can be performed at an appropriate time, making it possible to operate the moving body 30 efficiently.

<4 Basic hardware configuration of the computer>
FIG. 18 is a block diagram showing the basic hardware configuration of the computer 90. The computer 90 includes at least a processor 91, a main storage device 92, an auxiliary storage device 93, and a communication IF 99 (interface). These are electrically connected to each other by a bus.

The processor 91 is hardware for executing a set of instructions written in a program. The processor 91 includes an arithmetic unit, registers, peripheral circuits, and the like.

The main storage device 92 is for temporarily storing programs, data processed by the programs, etc. For example, it is a volatile memory such as DRAM (Dynamic Random Access Memory).

The auxiliary storage device 93 is a storage device for storing data and programs. Examples include flash memory, HDD (Hard Disc Drive), magneto-optical disk, CD-ROM, DVD-ROM, and semiconductor memory.

The communication IF 99 is an interface for inputting and outputting signals for communicating with other computers via a network using a wired or wireless communication standard.
The network is composed of various mobile communication systems constructed using the Internet, LAN, wireless base stations, and the like. For example, the network includes 3G, 4G, 5G mobile communication systems, LTE (Long Term Evolution), a wireless network (eg, Wi-Fi (registered trademark)) that can be connected to the Internet through a predetermined access point, and the like. When connecting wirelessly, communication protocols include, for example, Z-Wave (registered trademark), ZigBee (registered trademark), Bluetooth (registered trademark), and the like. In the case of a wired connection, the network includes a network that is directly connected using a USB (Universal Serial Bus) cable or the like.

Note that the computers 90 can be virtually realized by distributing all or part of each hardware configuration to a plurality of computers 90 and interconnecting them via a network. In this way, the concept of the computer 90 includes not only the computer 90 housed in a single housing or case, but also a virtualized computer system.

<Basic functional configuration of computer 90>
The functional configuration of the computer realized by the basic hardware configuration of the computer 90 shown in FIG. 18 will be described. The computer includes at least functional units of a control section, a storage section, and a communication section.

Note that the functional units included in the computer 90 can also be realized by distributing all or part of each functional unit to a plurality of computers 90 that are interconnected via a network. The computer 90 is a concept that includes not only a single computer 90 but also a virtualized computer system.

The control unit is realized by the processor 91 reading various programs stored in the auxiliary storage device 93, loading them into the main storage device 92, and executing processing according to the programs. The control unit can implement a functional unit that performs various information processing depending on the type of program. Thereby, the computer is realized as an information processing device that performs information processing.

The storage unit is realized by a main storage device 92 and an auxiliary storage device 93. The storage unit stores data, various programs, and various databases. Further, the processor 91 can secure a storage area corresponding to the storage section in the main storage device 92 or the auxiliary storage device 93 according to the program. Further, the control unit can cause the processor 91 to execute processing for adding, updating, and deleting data stored in the storage unit according to various programs.

A database refers to a relational database, which is used to manage data sets called tabular tables, which are structurally defined by rows and columns, in relation to each other. In a database, a table is called a table, a table column is called a column, and a table row is called a record. In a relational database, you can set and associate relationships between tables.
Usually, each table has a column set as a key to uniquely identify a record, but setting a key to a column is not essential. The control unit can cause the processor 91 to add, delete, or update records to a specific table stored in the storage unit according to various programs.

The communication section is realized by the communication IF 99. The communication unit realizes a function of communicating with other computers 90 via a network. The communication unit can receive information transmitted from other computers 90 and input it to the control unit. The control unit can cause the processor 91 to execute information processing on the received information according to various programs. Further, the communication unit can transmit information output from the control unit to another computer 90.

Although several embodiments of the present disclosure have been described above, these embodiments can be implemented in various other forms, and various omissions, substitutions, and changes can be made without departing from the gist of the invention. It can be performed. These embodiments and their modifications are included within the scope and gist of the invention as well as within the scope of the invention described in the claims and its equivalents.

<Additional notes>
The matters explained in each of the above embodiments are additionally described below.
(Additional note 1)
A program to be executed by a computer including a processor and a memory, the program includes the steps of: receiving information from a user regarding the crops planted; the received information regarding the crops; and information regarding the fields owned by the user. and the step of creating predictive information regarding at least one of growth, pathology, and pests based on the information regarding the environment of the field; the step of setting a purpose for operating the mobile body based on the predictive information; A program that executes the steps of setting a date for operating a mobile body based on information about the purpose and the field, and setting a method of moving the mobile body based on information regarding the purpose and the field.
(Additional note 2)
In the step of accepting, the information regarding the crop includes a planting date, and in the step of creating prediction information, the program according to Supplementary Note 1 creates prediction information based on the planting date.
(Additional note 3)
In the receiving step, information regarding the plot in which crops are planted in the field is received from the user, and in the step of setting the date and movement method, the method of movement is set based on the plot (Appendix 1) or (Appendix 2). program.
(Additional note 4)
In the step of setting the purpose, the purpose of operating the mobile object is collectively set for multiple users based on the prediction information created for the multiple users, and in the step of setting the date and movement method, the prediction for the multiple users is set. One of (Appendix 1) to (Appendix 3) that sets a date for operating the mobile body based on the information, and sets the movement method of the mobile body based on the collectively set purpose and information regarding the fields of multiple users. The program described in.
(Appendix 5)
In the step of setting the date and movement method, the date for operating the mobile body is set based on the predicted information for multiple users, and the movement is performed based on the purpose set for each of the multiple users and information regarding the fields of the multiple users. The program according to any one of (Appendix 1) to (Appendix 3) that sets a method of moving a body.
(Appendix 6)
The program according to any one of (Appendix 1) to (Appendix 5), which causes the processor to execute the step of presenting the set date, purpose, and travel method to the user.
(Appendix 7)
The processor executes a step of accepting from the user whether or not to adopt the set date, purpose, and travel method, and in the step of setting the date and travel method, when an instruction to adopt is received from the user, the processor accepts the set date, purpose, and travel method. The program according to appendix 6, which determines a travel method and deletes the set date, purpose, and travel method upon receiving an instruction of rejection from the user.
(Appendix 8)
The processor executes a step of accepting from the user whether or not to request a re-proposal regarding the set date, purpose, and travel method, and when receiving a re-proposal instruction from the user in the step of setting the date and travel method, the processor executes the step of accepting a re-proposal request from the user. The program according to (Appendix 6) or (Appendix 7), in which the changed date, purpose, and travel method are presented to the user in the step of changing and presenting the changed date.
(Appendix 9)
In the step of setting the date and travel method, the date, the travel method, or both are changed according to predetermined circumstances, and in the step of presenting, the changed date, purpose, and travel method are presented to the user (see appendix). 6) to (Appendix 8).
(Appendix 10)
The program according to any one of (Appendix 6) to (Appendix 9), in which, in the presenting step, when a predetermined number of days have passed until the set date, the program presents to the user that the set date is near.
(Appendix 11)
The program according to any one of (Appendix 6) to (Appendix 10) which causes the processor to execute the step of accepting whether or not arrangements for operating the mobile body are necessary.
(Appendix 12)
In the step of creating prediction information, the prediction information is updated based on the information obtained by diagnosing the crop, and in the step of setting the purpose, the purpose of operating the mobile body is set based on the updated prediction information, and the date and movement method are set. In the step of setting, a date for operating the mobile body is set based on the updated prediction information, and a movement method of the mobile body is set based on the purpose set based on the updated prediction information and information regarding the field. The program according to any one of 1) to (Appendix 11).
(Appendix 13)
In the step of setting the date and movement method, the movement route included in the movement method is set so as to minimize the total work time when moving the mobile object to the field (Appendix 1) to (Appendix 12) Any program listed in any of the above.
(Appendix 14)
A method executed by a computer comprising a processor and a memory, the processor receiving information about the planted crops from a user, the received information about the crops, information about a field owned by the user, and information about the field. a step of creating predictive information regarding at least one of growth, pathology, and pests based on information about the environment; a step of setting a purpose for operating the mobile object based on the predictive information; A method of carrying out the steps of setting a date for operation, and setting a method of moving the mobile object based on information about the purpose and the field.
(Additional note 15)
An information processing device comprising a control unit and a storage unit, the control unit receiving information about the planted crops from the user, and transmitting the received information about the crops, information about the fields owned by the user, and information about the fields. a step of creating predictive information regarding at least one of growth, pathology, and pests based on information about the environment; a step of setting a purpose for operating the mobile object based on the predictive information; An information processing device that executes the steps of setting a date for operation and setting a method of moving a mobile object based on information regarding a purpose and a field.
(Appendix 16)
A method for receiving information on planted crops from a user, and predicting information on at least one of growth, pathology, and pests based on the received information on the crops, information on the field owned by the user, and information on the environment of the field. means for setting the purpose of moving the moving object based on the prediction information, setting a date for operating the moving object based on the prediction information, and determining the method of moving the moving object based on the purpose and information regarding the field. and a means for configuring the system.

1...System 10...Terminal device 12...Communication IF
120... Communication unit 13... Input device 131... Touch sensitive device 14... Output device 141... Display 15... Memory 150... Position information sensor 16... Storage 160... Camera 17... Audio processing unit 171... Microphone 172... Speaker 180... Memory Unit 19...Processor 190...Control unit 20...Server

Claims

A program for causing a computer including a processor and a memory to execute, the program causing the processor to:
a step of receiving information about the planted crops from the user;
creating predictive information regarding at least one of growth, pathology, and pests based on the received information on crops, information on the field owned by the user, and information on the environment of the field;
setting a purpose for operating the mobile object based on the prediction information;
A program for executing the steps of setting a date for operating the movable body based on the prediction information, and setting a movement method of the movable body based on the purpose and information regarding the field.
In the receiving step, the information regarding the crop includes a planting date;
2. The program according to claim 1, wherein in the step of creating the forecast information, the forecast information is created based on the planting date.
In the receiving step, information regarding a plot where the crop is planted in the field is received from the user;
3. The program according to claim 1, wherein in the step of setting the date and the moving method, the moving method is set based on the division.
In the step of setting the purpose, the purpose of operating the mobile object is collectively set for the plurality of users based on the prediction information created for the plurality of users,
In the step of setting the date and movement method, a date for operating the mobile body is set based on prediction information about the plurality of users, and the purpose set collectively and information regarding the fields of the plurality of users are set. 4. The program according to claim 1, wherein the program sets a method of moving the moving body from the following.
In the step of setting the date and movement method, a date for operating the mobile body is set based on prediction information about the plurality of users, and the date and time are set regarding the purpose set for each of the plurality of users and the fields of the plurality of users. The program according to any one of claims 1 to 3, which sets a movement method for the mobile body based on the information.
The program according to any one of claims 1 to 5, which causes the processor to execute the step of presenting the set date, purpose, and travel method to the user.
causing the processor to execute a step of receiving from the user whether or not to adopt the set date, purpose, and travel method;
In the step of setting the date and travel method, upon receiving an instruction from the user to accept the offer, the set date, purpose, and travel method are determined, and upon receiving an instruction from the user to reject the offer, the set date, purpose, and travel method are determined. 7. The program according to claim 6, which deletes the purpose and the movement method.
causing the processor to execute a step of accepting from the user whether or not to request a re-proposal regarding the set date, purpose, and travel method;
In the step of setting the date and movement method, upon receiving a re-proposal instruction from the user, changing the set date;
8. The program according to claim 6, wherein in the presenting step, the changed date, purpose, and travel method are presented to the user.
In the step of setting the date and the travel method, changing the date, the travel method, or both according to predetermined circumstances,
9. The program according to claim 6, wherein in the presenting step, the modified date, purpose, and travel method are presented to the user.
10. The program according to claim 6, wherein in the presenting step, when a predetermined number of days elapse until the set date, the program presents to the user that the set date is near.
The program according to any one of claims 6 to 10, which causes the processor to execute the step of accepting whether or not arrangements for operating the mobile object are necessary.
In the step of creating the prediction information, updating the prediction information based on information obtained by diagnosing the crop,
In the step of setting the purpose, setting a purpose for operating the mobile object based on the updated prediction information,
In the step of setting the date and movement method, a date for operating the mobile body is set based on the updated prediction information, and the purpose set based on the updated prediction information and information regarding the field are set. The program according to any one of claims 1 to 11, which sets a movement method for the mobile object.
13. The method according to claim 1, wherein in the step of setting the date and the moving method, a moving route included in the moving method is set so as to minimize the total working time when moving the moving body with respect to the field. Programs listed in either.
A method implemented in a computer comprising a processor and a memory, the processor comprising:
a step of receiving information about the planted crops from the user;
creating predictive information regarding at least one of growth, pathology, and pests based on the received information on crops, information on the field owned by the user, and information on the environment of the field;
setting a purpose for operating the mobile object based on the prediction information;
The method includes the steps of setting a date for operating the mobile body based on the prediction information, and setting a movement method for the mobile body based on the purpose and information regarding the field.
An information processing device comprising a control section and a storage section, the control section comprising:
a step of receiving information about the planted crops from the user;
creating predictive information regarding at least one of growth, pathology, and pests based on the received information on crops, information on the field owned by the user, and information on the environment of the field;
setting a purpose for operating the mobile object based on the prediction information;
An information processing device that executes the steps of setting a date for operating the mobile body based on the prediction information, and setting a movement method of the mobile body based on the purpose and information regarding the field.
a means for receiving information about the planted crops from a user;
means for creating predictive information regarding at least one of growth, pathology, and pests based on the received information regarding the crop, information regarding the field owned by the user, and information regarding the environment of the field;
means for setting a purpose for operating the mobile object based on the prediction information;
A system comprising means for setting a date for operating the movable body based on the prediction information, and setting a method of moving the movable body based on the purpose and information regarding the field.