Pest and disease identification method based on artificial intelligence

The invention discloses a pest and disease identification method based on artificial intelligence, which belongs to the technical field of pest and disease identification and comprises the steps of image acquisition, image preprocessing, image segmentation, pest and disease identification model construction and pest and disease identification report generation. A data enhancement method is adopted, the data diversity is effectively expanded, the model can better recognize various changes, and then the performance of the model in practical application is enhanced; a neural network combined with a transformer is adopted to perform image segmentation, background interference is reduced, the image is decomposed into a plurality of sub-regions, the complexity of each region is reduced, the recognition speed and precision are further improved, and a sparse attention mechanism is introduced, so that the calculation requirement of a model is remarkably reduced; the lightweight fast regional convolutional network is a