Classification of different degrees of ginkgo leaf disease based on deep learning

Deep learning has been widely used in plant disease classification. In this paper, the convolution neural network model was used. 1322 original images were trained in the data set, and it achieved 98.44% accuracy. The result of this study will help people predict and prevent disease of Ginkgo leaf blight.