Research on Crop Leaf Disease Identification Method Based on LM-BP Neural Network

Fan Tongke,Z.B Xu,J.Y Liu,D.Q Chen

doi:10.1051/e3sconf/201913101118

Abstract

Aiming at the problem of disease diagnosis of large-scale crops, this paper combines machine vision and deep learning technology to propose an algorithm for constructing disease recognition by LM_BP neural network. The images of multiple crop leaves are collected, and the collected pictures are cut by image cutting technology, and the data are obtained by the color distance feature extraction method. The data are input into the disease recognition model, the feature weights are set, and the model is repeatedly trained to obtain accurate results. In this model, the research on corn disease shows that the model is simple and easy to implement, and the data are highly reliable.

Highlights

Machine vision technology is based on image processing technology, using computers to realize human visual functions, involving artificial intelligence, pattern recognition and other disciplines
In order to alleviate the workload of first-line plant protection personnel, promote the modernization of plant protection in China and the development of agricultural modernization, the research progress and application of machine vision technology in the automatic detection and identification of crop diseases are discussed
At the same time, according to the slender shape of the corn leaf, in order to extract the characteristics of the blade, it is necessary to extract the central part of the blade image to have representative meaning

Summary

Introduction

Machine vision technology is based on image processing technology, using computers to realize human visual functions, involving artificial intelligence, pattern recognition and other disciplines. Machine vision technology is an important research content of agricultural automation and intelligence. In order to alleviate the workload of first-line plant protection personnel, promote the modernization of plant protection in China and the development of agricultural modernization, the research progress and application of machine vision technology in the automatic detection and identification of crop diseases are discussed. On this basis, the problems existing in the current research are analyzed, and the application of machine vision technology in the modern development of plant protection is prospected

Machine vision based crop disease identification technology

Crop disease image acquisition and pretreatment

Feature Extraction

Crop disease identification based on LM neural network

Conclusion