Research on Pest and Disease Recognition Algorithms Based on Convolutional Neural Network

Abstract

In order to detect crop diseases and insect pests in crop cultivation timely and accurately and to determine which kind of diseases and insect pests, this paper uses some algorithms in the field of image processing and the prevailing neural network to identify crop diseases and insect pests. In order to better identify diseases and insect pests, this paper uses a variety of plant diseases and insect pests for analysis and research, then expands a variety of crop diseases and insect pests on the original basis, expands the practical field by modifying model parameters and other methods, which not only saves workload, but also saves a lot of time, and can be based on the original. Real-time conditions to make a better pest identification algorithm model.