KR20210008711A - Robot system using artificial intelligence for preventing blight and harmful insects from damaging plants - Google Patents

Abstract

According to the present invention, an operating method of a robot system for plant blight prevention using artificial intelligence comprises: a step of storing input data for blight and a plant to be removed in the robot system; a step of setting blight and a plant to be removed and a work method in the robot system; a step of setting a work area or a work area boundary; a step of supplying a required material and power to the robot system; a step in which the robot system moves in response to a work start instruction of a user; a step in which the robot system recognizes a blight-infected plant to be removed; a step in which the robot system removes the plant infected by blight; a step in which the robot system processes and stores the removed blight-infected plant; and a step in which the robot system ends work. Accordingly, plants infected by blight such as produce, fruit trees, garden products, and trees can be perfectly prevented from spreading the blight at very low costs in an eco-friendly manner to improve farming productivity, reduce environmental pollution, and produce healthy and inexpensive produce, forest products, garden products, etc.

Description

Plant disease and pest prevention robot system using artificial intelligence {ROBOT SYSTEM USING ARTIFICIAL INTELLIGENCE FOR PREVENTING BLIGHT AND HARMFUL INSECTS FROM DAMAGING PLANTS}

The present invention relates to an artificial intelligence plant disease and pest prevention robot system that recognizes, automatically removes, and treats diseases and pests existing in crops, fruit trees, and plants in an arbitrary area using artificial intelligence.

People plant and care for lawns, flowers, crops (rice, barley, beans, sesame, etc.) and fruit trees in rice paddies, fields, orchards, forests, and gardens. It takes a lot of manpower and cost to properly manage to prevent it. In addition, once a disease or pest occurs, crops or fruit trees are damaged, and the crop is drastically reduced, causing great economic damage to farmers and people engaged in forestry and horticulture.

In addition, in order to prevent such damage from diseases and pests, a large amount of pesticides are sprayed on whole crops, fruit trees, or horticultural crops to adversely affect the environment, and if people eat properly, some remaining pesticides adversely affect the human body. It is very likely that it is not good for health and can cause various diseases. Plants such as crops, fruit trees, horticultural plants, and pests are causing enormous damage to humans, but there are no effective countermeasures until now except for pesticides and some organic farming methods.

The problem to be solved by the present invention is to use a mobile robot machine, a distance measuring device, a power battery management device, a microscope and a camera, etc. to allow a user to designate a work area or recognize a range of an arbitrary area and move within the range It is to provide a robot system for preventing plant diseases and pests using artificial intelligence that recognizes and removes various diseases and pests occurring in plants such as fruit trees, garden plants, trees, and the like, and a method of operation thereof.

The problem of the present invention is not limited to those mentioned above, and other problems that are not mentioned will be clearly understood by those skilled in the art from the following description.

A method of a robot system for preventing plant diseases and pests using artificial intelligence according to an aspect of the present invention, the method comprising: storing input data on plants and pests to be removed by an arbitrary user in the robot system; A step of setting a plant to be removed, a disease and a pest, and a working method in the system by a user in the plant disease and pest prevention robot system using artificial intelligence; Setting a work area by a user or setting a work area boundary according to an arbitrary task instructed by the user by a plant disease and pest control robot system using artificial intelligence; Supplying power and necessary materials to a robot system for preventing plant diseases and pests using artificial intelligence by a user; A step in which the user instructs to start the work and the robot system moves; Recognizing, by the system, a disease or a pest in a plant to be worked on; Removing, by the robot system, pests and diseases; Processing and storing the pests and the like removed by the system; The plant disease and pest prevention robot system using artificial intelligence may include the step of completing a designated task and ending the task or arbitrarily ending the task.

According to an embodiment, the disease and pests that are the target of the work include pests that occur in all plants, such as rice larvae, mites, aphids, podworms, mites, governor worms, moth larvae, gorilla flies, rust.

According to an embodiment, the method of storing the user's input data in the system may include a method of receiving a system input data required through a memory chip, wired or wireless communication Internet, voice recognition, or the like.

According to an embodiment, in the step of setting the work area by the user, a line line indicating a boundary may be installed or the user may directly set the boundary through GPS.

According to an embodiment, in the step of recognizing the boundaries of the work area by the robot system, an artificial intelligence such as machine learning or deep learning is used to identify the number of individuals based on image or video information of crops, fruit trees, or horticulture, and use this. It may include an artificial intelligence automatic recognition method by a method such as allowing the artificial intelligence to recognize through learning or non-learning as a density value within a certain range.

According to an embodiment, the step of setting the plant to be worked by the user includes crops such as rice, barley, beans, sorghum, fruit trees such as apples, pears, persimmons, and plants such as pine, mulberry, and horticultural crops such as roses or lilies. It includes the step of selecting or setting an arbitrary plant to be managed from among the robot system.

According to an embodiment, the step of setting the working method by the user includes a method of removing the pest using a device such as a very sharp awl when recognizing the pest, removing it at high temperature or high pressure, or removing it with electricity. It includes steps such as selecting an eco-friendly method or setting a method of directly injecting or spraying a very small amount of an insecticide directly onto the target object.

According to an embodiment, the step of supplying power and necessary materials to the plant disease and pest control robot system using artificial intelligence by the user is not only a method of manually supplying the pesticide material to the system, but also the system is automatically activated. It may include a method of recognizing the stock status of the material and the charging status of the power supply, and moving to a storage warehouse where it can be supplied and automatically receiving it if necessary.

According to an embodiment, the step in which the user starts the work of the plant disease and pest control robot system using artificial intelligence, the user directly directs the instruction manually or wirelessly, or the work instruction at a certain time such as time reservation. It may include how to get off.

According to an embodiment, the step of moving the work area by the plant disease and pest control robot system using artificial intelligence may include various movement methods such as a caterpillar, a robot moving device, and a drone flight.

According to an embodiment, in the step of recognizing a work target while moving the work area by the plant disease and pest control robot system using artificial intelligence, machine learning and deep learning are performed using image and video information on various diseases and pests. It may include the step of recognizing the work object using the same artificial intelligence method.

The machine learning is a method such as supervised learning, unsupervised learning, reinforcement learning, etc., and may be a machine learning model such as random forest, support vector machine (SVM), clustering, etc. .

The deep learning may include a method such as a convolutionary neural network (CNN) and a recurrent neural network (RNN).

According to an embodiment, the method of processing and storing the removed substances while the user's robot system for preventing plant diseases and pests using artificial intelligence performs a task is to store pests and pests that must be removed while the system performs a task for a certain period of time and then store it. If there is not enough space, it may include moving to a storage area for storing it and storing it separately.

It will be clearly understood by those skilled in the art that the robot system for preventing plant disease and pest control using the artificial intelligence is not limited to those mentioned herein, and other techniques not mentioned are also applicable.

According to the plant disease and pest prevention robot system using the artificial intelligence of the present invention, the user sets crops, fruit trees, horticultural plants, trees, and various plants and diseases and pests occurring therein as management targets, and the user sets a random work area. Or, the robot system automatically recognizes the area, and the robot system recognizes the pest within the boundary of the work area and kills it with a sharp tool, or by using a method such as high temperature, high pressure, electricity, or using a very small amount of pesticide. Can be removed.

According to the robot system for preventing plant disease and pest control using the artificial intelligence of the present invention, the system performs a pre-set task in an arbitrary area determined by the user, regardless of whether it is bright or dark, 365 days a year, 24 hours a day. Even in cold or cold weather, it is possible to completely remove pests at low cost while monitoring plants such as crops, fruit trees, horticultural plants, and trees within the set area boundary.

According to the plant disease and pest control robot system using the artificial intelligence of the present invention, various pests are removed in an eco-friendly way without the use of pesticides, or a very small amount of pesticides are directly used for pests, leading a cleaner environment and healthier life. can do.

According to the plant disease and pest control robot system using the artificial intelligence of the present invention, agricultural, forestry, horticultural industry, agriculture, forestry, horticultural industry, The cost of plant management work can be drastically reduced, and the productivity of plants such as crops, fruit trees, horticultural plants, and trees can be greatly improved.

The effects of the present invention are not limited to those mentioned above, and other effects that are not mentioned will be clearly understood by those skilled in the art from the following description.

1 is a flow chart illustrating a method of operating a plant disease and pest control robot system using artificial intelligence according to an embodiment of the present invention.

With respect to the embodiments of the present invention disclosed in the text, specific structural or functional descriptions have been exemplified only for the purpose of describing the embodiments of the present invention, and the embodiments of the present invention may be implemented in various forms. It should not be construed as being limited to the embodiments described in.

Hereinafter, preferred embodiments of the present invention will be described in more detail with reference to the accompanying drawings. The same reference numerals are used for the same elements in the drawings, and duplicate descriptions for the same elements are omitted.

1 is a flowchart illustrating a method of a robot system for preventing plant diseases and pests using artificial intelligence according to an embodiment of the present invention.

Referring to FIG. 1, the robot system for preventing plant diseases and pests using artificial intelligence according to an embodiment of the present invention can start from a step S11 of inputting information on a task subject to be worked by a user using the system. Depending on the embodiment, the work object may include crops such as rice, barley, beans, cabbages, peppers, fruits such as apples, pears, persimmons, horticultural crops such as roses, lilies, etc., or plants such as pine, mulberry, birch, etc. I can. Depending on the embodiment, the storage of the input data may include a method of storing data through a user's manual input, such as storage through USB, storage through wired and wireless Internet communication, and the like, in addition to basic stored information.

Step S12 of FIG. 1 is a step in which a user sets a work object and a work method for the plant disease and pest prevention robot system using artificial intelligence according to an embodiment of the present invention. According to an embodiment, the work object is a crop such as rice, barley, beans, cabbage, pepper, etc. input in step S11, fruit trees such as apples, pears, persimmons, garden crops such as roses, lilies, pine, mulberry, birch, etc. It can contain the same plant. According to an embodiment, the pests and pests subject to the pests and pests task selected by the user may include pests and pests that occur in all plants, such as rice buds, mites, aphids, pods, mites, governor worms, moth larvae, gooseberries, rust, etc. , It can be any pests entered into the system.

Depending on the embodiment, the step of setting the working method by the user may include a method of removing the pest using a device such as a very sharp awl when recognizing the pest, removing it at high temperature or high pressure, or removing it with electricity. It includes steps such as selecting an appropriate method, injecting a very small amount of pesticide directly to the target of disease and pest, or setting up a method of spraying.

Step S13 of FIG. 1 is a step of setting an area in which the robot system for preventing plant diseases and pests using artificial intelligence according to an embodiment of the present invention will work. According to an embodiment, in the step of setting the work area by the user, the user may directly set the boundary through the installation of a line line, pole, etc. indicating a boundary of the area.

According to an embodiment, in the step of recognizing the boundaries of the work area by the robot system, an artificial intelligence such as machine learning or deep learning is used to identify the number of individuals based on image or video information of crops, fruit trees, or horticulture. It may include an artificial intelligence automatic recognition method such as machine learning or deep learning by a method such as allowing artificial intelligence to recognize through learning or non-learning with a density value within a certain range.

The machine learning is a method such as supervised learning, unsupervised learning, reinforcement learning, etc., and may be a machine learning model such as random forest, support vector machine (SVM), clustering, etc. . The deep learning may include a method such as a convolutionary neural network (CNN) and a recurrent neural network (RNN).

Step S14 of FIG. 1 is a step in which the robot system for preventing plant diseases and pests using artificial intelligence according to an embodiment of the present invention is supplied with power and materials required for work. Depending on the embodiment, the step of supplying power and necessary materials to the plant disease and pest control robot system using artificial intelligence by the user is not only a method of manually supplying necessary materials such as pesticides to the system, but also the system is automatically As such, it may include a method of recognizing the stock status of such a necessary material, moving to a storage warehouse where it can be supplied, and automatically receiving it if necessary.

Step S15 of FIG. 1 is a step in which the robot system for preventing plant diseases and pests using artificial intelligence according to an embodiment of the present invention sets a work start and performs the necessary movement within the work area while performing the system work. Depending on the embodiment, the step in which the user starts the work of the plant disease and pest control robot system using artificial intelligence is that the user directly directs the plant directly or wirelessly, or gives a work instruction at a certain time such as time reservation. Method, etc.

Depending on the embodiment, the step of moving the work area by the plant disease and pest control robot system using artificial intelligence may include various movement methods such as a caterpillar, a robot moving device, a drone flying, and the like.

Step (S16) of FIG. 1 is a step in which the robot system for preventing plant diseases and pests using artificial intelligence according to an embodiment of the present invention moves within the work area and recognizes the diseases and pests that are the target of the work. According to an embodiment, in the step of recognizing the disease and pests of the work target while the robot system for preventing plant diseases and pests using the artificial intelligence moves through the work area, machine learning is performed using the information input in step S11 and image and video information on the work target. And the step of recognizing the object of work using artificial intelligence methods such as deep learning and deep learning.

The machine learning is a method such as supervised learning, unsupervised learning, reinforcement learning, etc., and may be a machine learning model such as random forest, support vector machine (SVM), clustering, etc. . The deep learning may include a method such as a convolutionary neural network (CNN) and a recurrent neural network (RNN).

Step (S17) of FIG. 1 is a step in which the robot system for preventing plant diseases and pests using artificial intelligence according to an embodiment of the present invention stores and processes the removed diseases and pests while performing the work of removing diseases and pests within the working area. According to an embodiment, when the user recognizes the pest to be removed in step S16 according to the working method set in step S12, the robot system for preventing plant diseases using artificial intelligence uses a mechanism such as a very sharp awl. It includes steps such as selecting an eco-friendly method such as removing method, removing at high temperature or high pressure, or removing with electricity, or setting a method of directly injecting or spraying a very small amount of pesticide directly onto the target. I can.

According to an embodiment, the method of processing and storing the removed substances while the user's robot system for preventing plant diseases and pests using artificial intelligence performs a task, the system stores the pests removed while performing the task for a certain period of time, and then the storage space is If not enough, it may include moving to a storage area to store it and storing it separately.

Step (S18) of Figure 1 is a plant disease and pest control robot system utilizing the artificial intelligence according to an embodiment of the present invention to complete the work in the work area set by the user and terminate the work, or according to the needs of the user. This is a step in which the user arbitrarily shuts down the system.

As an embodiment, the arbitrary area may be land or farmland such as a paddy field, a field, an orchard, a private garden, a horticultural field or farm, or a forest. As an example, the crop includes all crops such as rice, barley, garlic, cucumber, pepper, green onion, radish, and Chinese cabbage. As an example, the fruit tree includes all fruit trees such as apples, pears, persimmons, dates, chestnuts, and walnuts.

As an embodiment, the method of recognizing the work area is to determine the number of the work target by using basic information and video images on the work target (crops, fruit trees, garden plants, trees, etc.) set by the user. This includes a method of recognizing a work area using artificial intelligence techniques using the density value calculated within an arbitrary area.

The artificial intelligence technique includes the following machine learning techniques and deep learning techniques. Machine learning is a method such as supervised learning, unsupervised learning, and reinforcement learning, and may be a machine learning model such as Random Forest, Support Vector Machine (SVM), and Clustering. Deep learning may include a method such as a convolutionary neural network (CNN) and a recurrent neural network (RNN).

With respect to the embodiments of the present invention disclosed in the text in relation to the method of the robot system for preventing plant diseases and pests using the artificial intelligence, specific structural or functional descriptions are exemplified for the purpose of describing the embodiments of the present invention only. , The embodiments of the present invention may be implemented in various forms and should not be construed as being limited to the embodiments described in the text.

In addition, the method is not limited to the above-described method, and even a method not described herein will be subject to the scope of the present patent.

Claims (1)

As a method of operation of a robot system for preventing plant diseases and pests using artificial intelligence,
Storing input data on plants and pests to be removed in the robot system;
Setting plants and pests to be removed, and a working method in the robot system;
Setting a working area or a working area boundary;
Supplying power and necessary materials to the robot system;
Moving the robot system in response to a user's instruction to start work;
Recognizing, by the robot system, pests and diseases in the plant to be removed;
Removing, by the robot system, pests and diseases;
Processing and storing the disease and pests removed by the robot system; And
And terminating the work by the robot system.

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