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Method and system for identifying Citri medica diseases and insect pests based on improved yolov5 network

A recognition method and technology of pests and diseases, applied in the field of pests and diseases recognition, can solve the problems of poor recognition of small targets such as tiny pests and diseases, large network model size, complex structure, etc., and achieve the effect of reducing model parameters, increasing receptive field and improving performance

Pending Publication Date: 2022-02-01
SOUTH CHINA AGRI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The mainstream detection method of plant diseases and insect pests usually adopts a single data set of leaf images of disease and insect pests taken in a simple background to train the model. It can only detect and recognize the images of plant diseases and insect pests taken on sunny days, without considering the complex background environment of the field. And common rainy weather and other factors
At the same time, the network model of the current mainstream target detection algorithm has poor recognition effect on small targets such as tiny pests and diseases, and the structure is complex and the size of the network model is too large, so it is difficult to deploy in terminal devices and other hardware devices.

Method used

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  • Method and system for identifying Citri medica diseases and insect pests based on improved yolov5 network
  • Method and system for identifying Citri medica diseases and insect pests based on improved yolov5 network
  • Method and system for identifying Citri medica diseases and insect pests based on improved yolov5 network

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Embodiment Construction

[0046] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0047] Such as figure 1 As shown, the embodiment of the present invention discloses a method for identifying pests and diseases of bergamot based on the improved yolov5 network, comprising the following steps:

[0048] S1. Acquire images of bergamot pests and diseases, and label them to construct an initial data set;

[0049] S2. Introduce the yolov5 network model, and improve the backbone network and Neck module of the yolov5 network model;

[0050] S3, usi...

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Abstract

The invention discloses a method and system for identifying Citri medica diseases and insect pests based on an improved yolov5 network, and the method comprises the steps of obtaining a Citri medica diseases and insect pests image, marking, and constructing an initial data set; introducing a yolov5 network model, and improving a backbone network and a Neck module of the yolov5 network model; training, verifying and testing the improved yolov5 network model by using the initial data set to obtain a final diseases and insect pests identification model; pre-processing a to-be-detected image; judging whether the to-be-detected image is shot in a sunny day or a rainy day, and if the to-be-detected image is shot in the rainy day, processing the to-be-detected image by using an Attentive GAN algorithm; if the to-be-detected image is shot in sunny days, not processing; and carrying out diseases and insect pests identification on the pre-processed to-be-detected image based on the diseases and insect pests identification model. According to the method, the improved yolov5 network is combined with the Attentive GAN algorithm, so that the Citri medica diseases and insect pests can be identified under rainy weather conditions, the network parameter quantity and the size of a network model can be reduced, and the identification accuracy is improved.

Description

technical field [0001] The invention relates to the technical field of identification of diseases and insect pests, and more specifically relates to a method and system for identification of diseases and insect pests of bergamot based on an improved yolov5 network. Background technique [0002] Bergamot is a commonly used southern medicine, and its roots, stems, leaves, flowers and fruits can be used as medicine. Bergamot pests and diseases are one of the main factors affecting the growth and production of Bergamot bergamot. There are many kinds of pests and diseases in bergamot. Among them are many small pests and diseases. Quickly find and accurately identify small pests and diseases, and timely and effectively manage pests and diseases of bergamot. And control can reduce production loss and improve the output and quality of bergamot. Therefore, accurate identification of tiny pests and diseases plays an important role in ensuring the growth and production of bergamot. ...

Claims

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Application Information

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IPC IPC(8): G06V20/10G06V10/82G06N3/04G06N3/08
CPCG06N3/08G06N3/045
Inventor 王卫星骆润玫胡凯刘伟康廖飞曹亚芃刘泽乾
Owner SOUTH CHINA AGRI UNIV
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