Research progress of deep learning in crop disease identification
Crop diseases were one of the key factors that seriously affect agricultural production. In recent years, deep learning technology had developed rapidly, and its application in the detection and recognition of crop leaf diseases had gradually received attention. A review of crop disease identification methods based on deep learning in this article, the application of deep learning in crop disease identification was introduced,starting from the aspects of field environment, cost, and data volume, explored some of the problems that need to be solved, and looked forward to its development, to provide areference for the in-depth research and development of crop disease identification in the future.
deep learningidentification of crop diseasesdisease image dataset
万方数据
维普
