Research on Intelligent Identification and Prevention System of Intelligent Agricultural Pests and Diseases based on Computer Vision

Abstract

This study focuses on the intelligent identification and prevention system of pests and diseases in smart agriculture based on computer vision, and systematically describes its principle, construction and application effect through multi-dimensional data support. The study shows that the system can significantly improve the monitoring efficiency and control accuracy of pests and diseases, and is effective in reducing the use of pesticides and economic losses, providing key technical support for the development of smart agriculture. Meanwhile, the challenges faced by the system are analyzed in depth, and the future development trend is outlooked to provide reference for the subsequent research and practice in this field.