Crop diseases and pests are a major problem in agricultural production, which will seriously affect crop yield and quality. Traditional manual diagnosis methods rely on professional knowledge and experience, the process is cumbersome and time-consuming, and it is difficult to accurately identify diseases and pests in a timely manner. With the rapid development of artificial intelligence technology, intelligent recognition technology based on deep learning provides a new way to solve this problem.