E3S Web Conf.
Volume 131, 20192nd International Conference on Biofilms (ChinaBiofilms 2019)
|Number of page(s)||3|
|Published online||19 November 2019|
Research on Crop Leaf Disease Identification Method Based on LM-BP Neural Network
Engineering College of Xi’an International University, Xi’an, China
* Corresponding author: email@example.com
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.
© The Authors, published by EDP Sciences, 2019
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