Research Article
A Crop Disease Recognition Algorithm Based on Machine Learning
@INPROCEEDINGS{10.1007/978-3-030-97124-3_38, author={Yuchao Zhou and Kailiang Zhang and Yi Shi and Ping Cui}, title={A Crop Disease Recognition Algorithm Based on Machine Learning}, proceedings={Simulation Tools and Techniques. 13th EAI International Conference, SIMUtools 2021, Virtual Event, November 5-6, 2021, Proceedings}, proceedings_a={SIMUTOOLS}, year={2022}, month={3}, keywords={Machine learning Crop disease recognition Support vector machine}, doi={10.1007/978-3-030-97124-3_38} }- Yuchao Zhou
Kailiang Zhang
Yi Shi
Ping Cui
Year: 2022
A Crop Disease Recognition Algorithm Based on Machine Learning
SIMUTOOLS
Springer
DOI: 10.1007/978-3-030-97124-3_38
Abstract
There are many related diseases in the process of crop planting, which reduces the quality and yield of crops. Faced with such a situation, the prevention of crop diseases has become a hot spot and has broad application prospects. This experiment uses the image recognition technology of machine vision to analyze and recognize crop diseases. Based on the features of machine vision that can capture details that cannot be observed by the human eye, with high accuracy and high efficiency, it provides accurate image recognition of crop diseases. In accordance with. In the process of selecting the SVM classifier for image classification, the kernel function and gamma parameters in the classifier were adjusted, and the kernel function and high accuracy parameter interval suitable for crop disease analysis were found.
