WO2020157879A1 - Système informatique, procédé d'aide à la croissance de plantes et programme - Google Patents

Système informatique, procédé d'aide à la croissance de plantes et programme Download PDF

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Publication number
WO2020157879A1
WO2020157879A1 PCT/JP2019/003257 JP2019003257W WO2020157879A1 WO 2020157879 A1 WO2020157879 A1 WO 2020157879A1 JP 2019003257 W JP2019003257 W JP 2019003257W WO 2020157879 A1 WO2020157879 A1 WO 2020157879A1
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Prior art keywords
position information
crop
pesticide
fertilized
point
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PCT/JP2019/003257
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English (en)
Japanese (ja)
Inventor
俊二 菅谷
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株式会社オプティム
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Priority to PCT/JP2019/003257 priority Critical patent/WO2020157879A1/fr
Priority to JP2020569248A priority patent/JP7066258B2/ja
Publication of WO2020157879A1 publication Critical patent/WO2020157879A1/fr

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    • AHUMAN NECESSITIES
    • A01AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01MCATCHING, TRAPPING OR SCARING OF ANIMALS; APPARATUS FOR THE DESTRUCTION OF NOXIOUS ANIMALS OR NOXIOUS PLANTS
    • A01M7/00Special adaptations or arrangements of liquid-spraying apparatus for purposes covered by this subclass

Definitions

  • the present invention relates to a computer system, a crop harvesting support method and a program for supporting crop harvesting.
  • environmental information eg, leaf wetting information, temperature information, rainfall information
  • environmental information eg, leaf wetting information, temperature information, rainfall information
  • identify pesticide information that is a countermeasure for this disease
  • identify the growth stage of crops There is a configuration that predicts and identifies the required fertilizer information.
  • Patent Document 1 merely notifies the operator of the necessity of pesticide or fertilizer application to the crop, and it is difficult to judge whether the pesticide or fertilizer is used for each crop. ..
  • An object of the present invention is to provide a computer system, a crop harvesting support method, and a program that make it easy to determine whether a pesticide or fertilizer has been used for each crop.
  • the present invention provides the following solutions.
  • the present invention is a computer system for supporting crop harvesting, comprising: A first acquisition means for acquiring a photographed image of the field and positional information of the photographing point; Image analysis of the captured image, a first detection means for detecting a crop, Position information of the detected crop, first specifying means for specifying based on the position information of the shooting point, Position information of the identified crop, first storage means for storing as first position information, Second acquisition means for acquiring position information of a point where the pesticide is applied and/or fertilized, Second storage means for storing position information of the point where the pesticide was applied and/or fertilized as second position information, Based on the first position information and the second position information, the position information of the crop that has not been applied with pesticide and/or fertilizer is specified as the third position information, and the pesticide is applied and/or fertilized. Second specifying means for specifying the position information of the crop that has been performed as the fourth position information, Notification means for notifying the terminal of the specified third position information and/or the fourth position information, There is provided
  • the computer system that supports crop harvesting acquires a photographed image of a field and position information of a photographing point, analyzes the photographed image, detects a crop, and detects the detected crop.
  • Positional information is specified based on the positional information of the shooting point, the positional information of the specified crop is stored as the first positional information, and the positional information of the point where the pesticide is sprayed and/or fertilized is obtained, Positional information of the point where the pesticide is applied and/or fertilized is stored as second position information, and the pesticide is applied and/or fertilized based on the first position information and the second position information.
  • the position information of the crops that have not been applied is specified as the third position information
  • the position information of the crops to which the pesticide has been applied and/or fertilized is specified as the fourth position information
  • the present invention is a system category, but also in other categories such as methods and programs, the same action/effect according to the category is exhibited.
  • the present invention it is possible to provide a computer system, a crop harvesting support method, and a program that make it easy to determine whether a pesticide or fertilizer has been used for each crop.
  • FIG. 1 is a diagram showing an outline of the crop harvesting support system 1.
  • FIG. 2 is an overall configuration diagram of the crop harvesting support system 1.
  • FIG. 3 is a diagram showing a flowchart of the crop harvesting support process executed by the computer 10.
  • FIG. 4 is a diagram schematically showing an example of the crop map.
  • FIG. 1 is a diagram for explaining an outline of a crop harvesting support system 1 which is a preferred embodiment of the present invention.
  • the crop harvesting support system 1 is a computer system that includes a computer 10 and supports crop harvesting.
  • the crop harvesting support system 1 is a drone, an agricultural machine, a high-performance agricultural machine, a worker terminal possessed by a worker who cultivates a crop (for example, a smartphone, a tablet terminal, a personal computer), and other terminals such as other computers. And devices may be included. Further, the crop harvesting support system 1 may be realized by a single computer such as the computer 10 or may be realized by a plurality of computers such as a cloud computer.
  • the computer 10 is connected to a drone, an agricultural machine tool, a high-performance agricultural machine, a worker terminal, other computers, etc. so as to be able to perform data communication via a public line network, etc., and executes necessary data transmission/reception.
  • the computer 10 acquires a photographed image of the field and position information of the photographing point.
  • the computer 10 acquires, for example, a picked-up image obtained by picking up each point in the field by using a drone.
  • the computer 10 acquires, from the drone, position information of the shooting location where the drone shot the shot image.
  • the computer 10 analyzes the photographed image and detects the crops in the photographed image.
  • the computer 10 extracts, for example, a feature point (for example, shape, contour, hue) and a feature amount (for example, an average of pixel values, a variance, a statistical value such as a histogram) of the captured image as the image analysis.
  • the computer 10 detects the crop shown in this captured image based on the extracted characteristic points and characteristic amounts.
  • the computer 10 identifies the detected position information of the crop based on the acquired position information of the shooting location.
  • the computer 10 identifies the position information of the crop as if the detected position information of the crop matches the position information of the photographing location. As a result, the computer 10 will specify the position of the detected crop in the field.
  • the computer 10 stores the position information of the specified crop as the first position information.
  • the computer 10 acquires the positional information of the point where the pesticide is applied and/or the fertilizer is applied.
  • the computer 10 for example, acquires position information of a point where a drone, an agricultural machine tool, or a high-performance agricultural machine has applied agricultural chemicals and/or fertilized from them. Further, the computer 10 acquires the position information of this point from the worker terminal possessed by the worker who sprayed and/or fertilized the pesticide, for example.
  • the computer 10 stores the acquired position information of the point where the pesticide was applied and/or fertilized as the second position information.
  • the computer 10 specifies the position information of the crop that has not been sprayed and/or fertilized based on the first position information and the second position information as the third position information, and also sprays the pesticide and/or The position information of the fertilized crop is specified as the fourth position information.
  • the computer 10 specifies, for example, one of the first position information that does not correspond to the second position information as the third position information, and determines one of the first position information that corresponds to the second position information as the fourth position information. Specify as location information.
  • the computer 10 notifies the terminal of the specified third position information and/or fourth position information.
  • the computer 10 causes the worker terminal to notify the third position information and/or the fourth position information, for example.
  • the computer 10 can also acquire the name and usage amount of the used pesticide and/or fertilizer together with the position information, and notify the terminal of the name and usage amount as well.
  • the computer 10 acquires the photographed image of the field and the position information of the photographing point as photographing data (step S01). For example, the computer 10 acquires, from the drone, a photographed image obtained by photographing each point in the field by the drone and position information at the photographing point as photographing data.
  • the computer 10 analyzes the photographed image and detects the crops in the photographed image (step S02).
  • the computer 10 extracts, for example, a feature point or a feature amount of a captured image as image analysis.
  • the computer 10 detects the crop shown in this captured image based on the extracted characteristic points and characteristic amounts.
  • the computer 10 identifies the position information of the detected crop based on the acquired position information of the shooting location (step S03).
  • the computer 10 specifies the position information of the crop, for example, assuming that the position information of the detected crop matches the position information of the shooting point. As a result, the computer 10 will specify the position of this crop in the field.
  • the computer 10 stores the position information of the specified crop as the first position information (step S04).
  • the computer 10 acquires the position information of the point where the pesticide was applied and/or fertilized (step S05).
  • the computer 10 acquires, for example, position information of a point where a drone, agricultural equipment, or high-performance agricultural machine has applied and/or fertilized pesticide. Further, the computer 10 acquires the position information of this point from, for example, a worker terminal possessed by a worker who sprayed and/or fertilized the pesticide.
  • the computer 10 stores the acquired position information of the point where the pesticide was applied and/or fertilized as the second position information (step S06).
  • the computer 10 specifies, as the third position information, the position information of the crop on which the pesticide application and/or fertilization has not been performed based on the stored first position information and the second position information, and at the same time, the pesticide application and The position information of the crop to which the fertilizer is applied is specified as the fourth position information (step S07).
  • the computer 10 specifies the third position information as the position information of the crop that has not been sprayed and/or fertilized with the pesticide, of the first position information that does not correspond to the second position information. Further, the computer 10 identifies the fourth position information as the position information of the crop to which the pesticide has been applied and/or fertilized, whichever of the first position information corresponds to the second position information.
  • the computer 10 notifies the terminal of the specified third position information and/or fourth position information (step S08).
  • the computer 10 notifies the specified third position information and/or fourth position information to, for example, a worker terminal, a drone, an agricultural machine, or a high-performance agricultural machine.
  • the computer 10 transmits the third position information and/or the fourth position information to them. These receive the third position information and/or the fourth position information and display them on their own display units to notify the operator. As a result, the computer 10 causes the terminal to be notified of the third position information and/or the fourth position information.
  • FIG. 2 is a diagram showing a system configuration of a crop harvesting support system 1 which is a preferred embodiment of the present invention.
  • the crop harvesting support system 1 is a computer system that includes a computer 10 and supports crop harvesting.
  • the computer 10 is connected to a drone, an agricultural machine, a high-performance agricultural machine, a worker terminal, other computers, etc. (not shown) so as to be able to perform data communication via a public network, etc., and transmits/receives necessary data. ..
  • the crop harvesting support system 1 may include a drone, an agricultural machine, a high-performance agricultural machine, a worker terminal, other computers, and other terminals and devices (not shown). Further, the crop harvesting support system 1 may be realized by a single computer such as the computer 10 or may be realized by a plurality of computers such as a cloud computer.
  • the computer 10 includes a CPU (Central Processing Unit) and/or a GPU (Graphics Processing Unit), a RAM (Random Access Memory), a ROM (Read Only Memory), and the like, and communicates with other terminals and devices as a communication unit.
  • a device for enabling such a device for example, a device compatible with Wi-Fi (Wireless-Fidelity) compliant with IEEE802.11 is provided.
  • the computer 10 also includes, as a storage unit, a data storage unit such as a hard disk, a semiconductor memory, a recording medium, or a memory card. Further, the computer 10 includes various devices that execute various processes as a processing unit.
  • control unit reads a predetermined program to cooperate with the communication unit to realize the photographing data acquisition module 20, the countermeasure data acquisition module 21, and the notification module 22. Further, in the computer 10, the control unit reads a predetermined program to cooperate with the storage unit to realize the storage module 30. Further, in the computer 10, the control unit reads a predetermined program, thereby realizing the image analysis module 40, the position identification module 41, and the map creation module 42 in cooperation with the processing unit.
  • FIG. 3 is a diagram showing a flowchart of the crop harvesting support process executed by the computer 10. The processing executed by each module described above will be described together with this processing.
  • the photographing data acquisition module 20 acquires the photographed image of the field and the position information of the photographing point as photographing data (step S10).
  • the shooting data acquisition module 20 acquires, as shooting data, the shot images taken by the drone at a plurality of preset shooting points in the field and the position information of the shooting points at which the drone shot the shot images.
  • the drone photographs the area directly below itself as a photographed image. That is, the drone captures the captured image from a position vertical to the field.
  • the drone shoots a shot image at the shooting point, and acquires its own position information from GPS (Global Positioning System) or the like.
  • GPS Global Positioning System
  • the drone transmits the photographed image and the position information of the photographing point to the computer 10 as photographing data.
  • the photographing data acquisition module 20 acquires the photographing data by receiving the photographing data.
  • the computer 10 acquires the photographed image of the field and the position information of the photographing point.
  • the image analysis module 40 performs image analysis on the captured image based on the captured data (step S11). In step S11, the image analysis module 40 extracts feature points and feature amounts in this captured image. The image analysis module 40 extracts, for example, the shape, hue, etc. of an object existing in a captured image.
  • the image analysis module 40 determines whether or not the crop can be detected based on the result of the image analysis (step S12).
  • step S12 the image analysis module 40 adds a crop to the captured image based on the crop database in which the feature points and feature quantities of the crop and the crop identifier are registered in advance, and the extracted feature points and feature quantities. Determine if it exists.
  • the image analysis module 40 compares the feature points and feature amounts registered in the crop database with the extracted feature points and feature amounts, and makes this determination based on whether they match. If they match, the image analysis module 40 determines that the crop could be detected, and if they do not match, it determines that the crop cannot be detected.
  • the image analysis module 40 also determines the crop identifiers associated with the extracted feature points and feature quantities in the crop database, which are associated with the feature points and feature quantities.
  • step S12 when the image analysis module 40 determines that the crop cannot be detected as a result of the image analysis (step S12 NO), the computer 10 ends this process.
  • the computer 10 may be configured to execute the above-described processing of step S10 at this time to acquire shooting data different from the shooting data subjected to the image analysis this time.
  • step S12 when the image analysis module 40 determines that the crop can be detected as a result of the image analysis (step S12 YES), the position specifying module 41 determines the detected crop based on the position information in the photographing data.
  • the position information of is specified (step S13).
  • step S13 the position specifying module 41 specifies the position information of the shooting point corresponding to the shot image subjected to the image analysis this time based on the shooting data.
  • the position specifying module 41 specifies the position information of the shooting point as the position information of this crop. Further, the position specifying module 41 specifies the detailed position of this crop based on the position information of this crop and the coordinates in the captured image.
  • the position specifying module 41 sets an orthogonal coordinate system for the picked-up image and specifies the position in the picked-up image in which this crop is detected as the X coordinate and the Y coordinate in this picked-up image.
  • the position specifying module 41 specifies the position information of the actual crop in the field, based on the position information at the shooting point and the X and Y coordinates.
  • the position specifying module 41 specifies the center position of the captured image as position information at the shooting point, and specifies the X coordinate and the Y coordinate as positions with respect to the center position.
  • the computer 10 will specify the position of this crop in the field.
  • the storage module 30 stores the position information of the specified crop as the first position information (step S14).
  • the storage module 30 may store only the positional information of the crop, or may store the positional information of the crop and the identifier of the crop in association with each other. , And the field identifier may be further associated and stored.
  • the countermeasure data acquisition module 21 acquires, as countermeasure data, the positional information of the point where the pesticide was sprayed and/or fertilized, and the name and the amount of the used pesticide and/or fertilizer (step S15).
  • the countermeasure data acquisition module 21 acquires the position information of this point from the device or apparatus that has applied the pesticide and/or fertilizer or the worker terminal carried by the worker.
  • the worker terminal acquires position information of itself at this point from GPS or the like.
  • the worker terminal handles the acquired position information of itself as position information of the point where the pesticide is applied and/or fertilized.
  • the worker terminal transmits the position information of this point to the computer 10.
  • the device that has applied the agricultural chemicals and/or fertilizer acquires the position information of itself at the point where the agricultural chemicals have been sprayed and/or fertilized from the GPS or the like.
  • This device handles the acquired position information of itself as position information of the point where the pesticide was applied and/or fertilized.
  • This device transmits the position information of this point to the computer 10.
  • the countermeasure data acquisition module 21 acquires the position information of the point where the pesticide was applied and/or fertilized by receiving the position information of this point transmitted from the worker terminal or this device.
  • the countermeasure data acquisition module 21 also acquires the names and the amounts of the pesticides and/or fertilizers used.
  • the worker terminal receives an input of the name and usage amount of the used pesticide and/or fertilizer, and transmits the received name and usage amount of the pesticide and/or fertilizer to the computer 10.
  • the device that has sprayed and/or fertilized the pesticide transmits the name and amount of the pesticide and/or fertilizer used to the computer 10.
  • the countermeasure data acquisition module 21 receives the name and usage amount of the used pesticide and/or fertilizer transmitted by the worker terminal or this device, and acquires the name and usage amount of the used pesticide and/or fertilizer. To do.
  • the computer 10 acquires the position information of the point where the pesticide was applied and/or fertilized, the name and the amount of the pesticide and/or fertilizer used.
  • the countermeasure data acquisition module 21 may be configured to acquire only the positional information of the point where the pesticide is applied and/or fertilized.
  • the computer 10 has only to be configured to execute the processing relating to the names and usage amounts of agricultural chemicals and/or fertilizers in the processing described below.
  • the storage module 30 stores, as the second position information, the acquired position information of the point where the pesticide was applied and/or fertilized (step S16). In step S16, the storage module 30 stores the second position information in association with the name and usage amount of the pesticide and/or fertilizer used at this point.
  • the storage module 30 when a plurality of the same second position information is acquired, the storage module 30 also stores the names and usage amounts of the pesticides and/or fertilizers used in each of the second position information. .. That is, when the same crop is sprayed and/or fertilized multiple times on the same crop, the storage module 30 stores the name and usage amount of the used pesticide and/or fertilizer each time. In this case, the storage module 30 can store not only the name and amount of each pesticide and/or fertilizer, but also the total amount of pesticide used and/or the total amount of fertilizer. The computer 10 can also notify the total amount of the pesticide and/or the total amount of the fertilizer when notifying the usage amount of the pesticide and/or the fertilizer in the process described later.
  • the position specifying module 41 specifies, as the third position information, the position information of the crop on which the pesticide is not sprayed and/or fertilized based on the stored first position information and the stored second position information.
  • the position information of the crop that has been sprayed and/or fertilized is specified as the fourth position information (step S17).
  • step S17 the position specifying module 41 specifies the third position information that does not correspond to the second position information among the first position information.
  • the position specifying module 41 specifies the one corresponding to the second position information among the first position information as the fourth position information.
  • the computer 10 specifies the position information of the crop that has not been sprayed and/or fertilized, and the position information of the crop that has been sprayed and/or fertilized.
  • the computer 10 executes the above-described processing on a preset area of the field or the entire field. For example, the computer 10 acquires shooting data for the entire field, determines the presence/absence of a crop at each shooting location, specifies the position of the crop, acquires countermeasure data, and determines the presence/absence of pesticide application and/or fertilization, and pesticide application. And/or fertilization position specification, pesticide application and/or crop position non-application is performed, and pesticide application and/or fertilizer application position identification is performed. The computer 10 will execute the process described later when the process is completed for all the photographing data.
  • the map creation module 42 based on the identified third position information and fourth position information, the crops that have not been sprayed and/or fertilized in a preset area in the field or the entire field, and the pesticide sprayed// Alternatively, a crop map for displaying the position of the fertilized crop is created (step S18).
  • the map creation module 42 creates an entire map of a preset area or the entire field. This entire map is created based on the positional information of the preset area or the entire field. For example, when a rectangular area is set, an entire map is created based on the position information of each vertex of this rectangle.
  • the map creation module 42 creates a crop map in which the crop icon is superimposed on the position corresponding to the specified third position information and fourth position information in the entire map. This crop icon is, for example, text indicating a crop identifier or a crop illustration.
  • the map creation module 42 superimposes or arranges a non-countermeasure icon indicating that pesticide application and/or fertilization is not performed on the crop located in the third position information on the crop map.
  • the map creation module 42 superimposes or arranges a countermeasure icon indicating that the pesticide is sprayed and/or fertilized on the crop located at the fourth position information in the crop map.
  • the non-countermeasure icon is, for example, a text indicating that pesticide application and/or fertilization such as “no application, no fertilization” is performed, an illustration, and a surrounding line.
  • this countermeasure-completed icon indicates, for example, that pesticides have been sprayed and/or fertilized such as “Pesticide sprayed, fertilized, 1 liter sprayed”, pesticide sprayed amount and/or fertilizer applied amount, pesticide Alternatively, it is a text such as a fertilizer name indicating that pesticide application and/or fertilization has been performed, an illustration, and a surrounding line.
  • FIG. 4 is a diagram schematically showing an example of the crop map created by the map creation module 42.
  • the crop map 100 created by the map creation module 42 has a crop icon 110, a non-countermeasure icon 120, and a countermeasure-completed icon 130 superimposed on the entire map.
  • the positions of the crop icon 110, the non-countermeasure icon 120, and the countermeasure-completed icon 130 on the entire map are based on the third position information and the fourth position information.
  • the crop icon 110 shows the position where this crop exists.
  • the non-countermeasure icon 120 indicates that the applicable crop is not sprayed with pesticide and/or fertilized.
  • the countermeasure-completed icon 130 indicates that the corresponding crop has been applied with pesticide and/or fertilizer.
  • the non-countermeasure icon 120 is arranged so as to overlap the crop icon 110, and the countermeasure-completed icon 130 is arranged near the crop icon 110.
  • the shapes and modes of the crop icon 110, the non-countermeasure icon 120, and the countermeasure-completed icon 130 can be changed as appropriate as described above.
  • the positions and display modes of the non-countermeasure icon 120 and the countermeasure-completed icon 130 can be changed as appropriate.
  • the notification module 22 notifies the terminal of the specified third position information and fourth position information (step S19).
  • step S19 the notification module 22 notifies the created crop map to, for example, a worker terminal, a drone, an agricultural machine tool, or a high-performance agricultural machine.
  • the notification module 22 causes the function according to the terminal to be executed based on the crop map.
  • the notification module 22 sends this crop map to the terminal.
  • the terminal receives this crop map and performs the corresponding function. For example, when the computer 10 is a worker terminal, the computer 10 also displays the position of the worker terminal on the crop map and notifies the worker of the current position and the crop position.
  • the computer 10 also notifies the presence or absence of pesticide application and/or fertilization of each crop, and the amount of pesticide application and/or fertilization. Further, for example, in the case of a drone, the computer 10 causes the position of the crop, the presence/absence of pesticide application and/or fertilization of each crop, and the amount of pesticide application and/or the amount of fertilizer to be notified together.
  • the worker terminal displays this crop map on its own display unit and also displays its own position information in accordance with this crop map.
  • the position information of the worker terminal at this time is acquired from GPS or the like.
  • the worker browses the current position of the crop on the crop map, the position of the crop, the non-countermeasure icon, and the countermeasure-completed icon, so that the pesticide is not sprayed and/or fertilized when the crop is harvested. Further, it is possible to identify the one in which the amount of pesticide sprayed and/or the amount of fertilizer applied is displayed, and the one in which the pesticide spray and/or fertilizer is applied.
  • the drone is one that has not been sprayed with pesticide and/or fertilizer based on the position information in this crop map at the time of harvest, or the amount of pesticide sprayed and/or the amount of fertilizer are displayed. Alternatively, it is possible to identify the agricultural chemicals applied and/or fertilizer applied.
  • the above is the crop harvesting support processing.
  • the above means and functions are realized by a computer (including a CPU, an information processing device, various terminals) reading and executing a predetermined program.
  • the program is provided in the form of being provided from a computer via a network (SaaS: software as a service), for example.
  • the program is provided in a form recorded in a computer-readable recording medium such as a flexible disk, a CD (CD-ROM, etc.), a DVD (DVD-ROM, DVD-RAM, etc.).
  • the computer reads the program from the recording medium, transfers the program to the internal recording device or the external recording device, records the program, and executes the program.
  • the program may be recorded in advance in a recording device (recording medium) such as a magnetic disk, an optical disk, a magneto-optical disk, and provided from the recording device to a computer via a communication line.

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  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Insects & Arthropods (AREA)
  • Pest Control & Pesticides (AREA)
  • Wood Science & Technology (AREA)
  • Zoology (AREA)
  • Environmental Sciences (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Catching Or Destruction (AREA)

Abstract

Un objectif de la présente invention est de fournir un système informatique, un procédé d'aide à la récolte et un programme, qui facilitent la détermination de la nécessité ou pas d'utiliser un produit chimique agricole et un engrais sur chaque culture. La solution selon l'invention porte sur un système informatique qui aide à la récolte : il acquiert une image photographiée, obtenue par photographie d'une parcelle cultivée, et des informations de position du site photographié; il soumet l'image photographiée à une analyse d'image; il détecte une culture; il spécifie des informations de position de la culture détectée sur la base des informations de position du site photographié; il stocke, en tant que premières informations de position, les informations de position spécifiées pour la culture; il acquiert des informations de position d'un site qui a été pulvérisé avec un produit chimique agricole et/ou fertilisé; il stocke, en tant que deuxièmes informations de position, les informations de position du site qui a été pulvérisé avec le produit chimique agricole et/ou fertilisé; sur la base des premières informations de position et des deuxièmes informations de position, il spécifie, en tant que troisièmes informations de position, des informations de position d'une culture qui n'a pas été pulvérisée avec le produit chimique agricole et/ou fertilisée, et spécifie également, en tant que quatrièmes informations de position, les informations de position d'une culture qui a été pulvérisée avec le produit chimique agricole et/ou fertilisée; et il communique à un terminal les troisièmes informations de position et/ou les quatrièmes informations de position ainsi spécifiées.
PCT/JP2019/003257 2019-01-30 2019-01-30 Système informatique, procédé d'aide à la croissance de plantes et programme WO2020157879A1 (fr)

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JP2020569248A JP7066258B2 (ja) 2019-01-30 2019-01-30 コンピュータシステム、作物生育支援方法及びプログラム

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113749078A (zh) * 2021-08-16 2021-12-07 北京农业智能装备技术研究中心 一种多路喷头独立控制方法及系统
JP7132680B1 (ja) 2022-03-31 2022-09-07 株式会社オプティム プログラム、方法、情報処理装置、システム

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH11235124A (ja) * 1998-02-23 1999-08-31 Yanmar Agricult Equip Co Ltd 精密農法
JP2003009664A (ja) * 2001-06-29 2003-01-14 Minolta Co Ltd 作物生育量測定装置、作物生育量測定方法、作物生育量測定プログラム及びその作物生育量測定プログラムを記録したコンピュータ読取可能な記録媒体
JP2003154999A (ja) * 2001-11-19 2003-05-27 Fuji Heavy Ind Ltd 飛行体による散布物の散布実績評価方法及び装置
JP2008068710A (ja) * 2006-09-13 2008-03-27 Yamaha Motor Co Ltd 無人ヘリコプタのデータ管理方法
US20160029612A1 (en) * 2014-07-31 2016-02-04 Elwha Llc Systems and methods for deactivating plant material outside of a growing region

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2018003078A1 (fr) 2016-06-30 2018-01-04 株式会社オプティム Système de commande de vol pour aéronef à radio, procédé de commande de vol pour aéronef à radio, et programme de commande de vol pour aéronef à radio

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH11235124A (ja) * 1998-02-23 1999-08-31 Yanmar Agricult Equip Co Ltd 精密農法
JP2003009664A (ja) * 2001-06-29 2003-01-14 Minolta Co Ltd 作物生育量測定装置、作物生育量測定方法、作物生育量測定プログラム及びその作物生育量測定プログラムを記録したコンピュータ読取可能な記録媒体
JP2003154999A (ja) * 2001-11-19 2003-05-27 Fuji Heavy Ind Ltd 飛行体による散布物の散布実績評価方法及び装置
JP2008068710A (ja) * 2006-09-13 2008-03-27 Yamaha Motor Co Ltd 無人ヘリコプタのデータ管理方法
US20160029612A1 (en) * 2014-07-31 2016-02-04 Elwha Llc Systems and methods for deactivating plant material outside of a growing region

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113749078A (zh) * 2021-08-16 2021-12-07 北京农业智能装备技术研究中心 一种多路喷头独立控制方法及系统
JP7132680B1 (ja) 2022-03-31 2022-09-07 株式会社オプティム プログラム、方法、情報処理装置、システム
WO2023191110A1 (fr) * 2022-03-31 2023-10-05 株式会社オプティム Programme, procédé, dispositif de traitement d'informations et système
JP2023149459A (ja) * 2022-03-31 2023-10-13 株式会社オプティム プログラム、方法、情報処理装置、システム

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