Application of Image Recognition Technology in Lychee Downy Mildew

In today's world, where the number of people is increasing, the importance of agriculture has always been the focus of every country's attention. The application of image recognition technology in agricultural production has been paid more and more attention. At present, image recognition technology has been widely used in disease control of various crops, environmental supervision during the growth process, quality inspection of semi-finished agricultural products and deeply processed products, and has produced huge economic benefits. Based on the research of crop disease identification and detection at home and abroad, this paper establishes the classification model of crop disease. In this paper, the model established by PP-PicoDet algorithm can be used to identify phytophthora infestus of litchi trees, as well as to identify sickly leaves of litchi trees under complex background. Finally, it is hoped that the research method of lychee pests and diseases can be extended to other fruit trees to realize the identification of pests and diseases.