Low-cost tomato leaf disease identification method based on lightweight deep neural network

The invention discloses a low-cost tomato leaf disease identification method based on a lightweight deep neural network, and the method comprises the following steps: collecting a tomato leaf image data set, expanding the collected tomato leaf image data set through a data set expansion method to obtain an expanded image database, and carrying out the preprocessing of the image data set; constructing an improved residual neural network recognition model, and inputting the preprocessed image data set into the improved residual neural network recognition model to complete the training of the model; and recognizing a to-be-detected picture to be actually detected by using the trained model. According to the invention, an improved residual neural network identification model is adopted; disease identification is carried out on tomato leaves through cooperation of separable multi-scale convolution module1 and module2. According to the method, the network width is expanded, the accuracy reaches a relatively high le