Research on Intelligent Detection Method of Crop Diseases and Pests based on Machine Learning

Heng Xiao

Sanya University, Sanya, 572022, China

Abstract: In order to solve the problem of poor detection effect of traditional crop diseases and insect pests, an intelligent detection method of crop diseases and insect pests based on machine learning was proposed. Based on the principle of machine learning, the characteristics of common plant diseases and insect pests are collected and analyzed, and the detection algorithm is optimized by combining the migration learning method, so as to effectively detect the damage of plant diseases and insect pests. Finally, experiments prove that the intelligent detection method of crop diseases and insect pests based on machine learning has higher accuracy than the traditional method.

Keywords: Intelligent decision-making; Fuzzy neural network; Area detection; Precision agriculture