Intelligent identification method, medium and system for tobacco plant diseases and insect pests

The invention provides an intelligent identification method, medium and system for tobacco plant diseases and insect pests, and belongs to the technical field of tobacco plant diseases and insect pests, and the method comprises the steps: collecting a tobacco image, and constructing a tobacco image data set containing an original tobacco image and a corresponding label image; constructing a multi-branch network, extracting semantic information of different scales, and identifying and removing non-tobacco leaf areas in the original tobacco leaf image; processing the tobacco leaf image without the non-tobacco leaf area so as to construct an enhanced pest and disease damage tobacco leaf image data set; establishing a tobacco plant disease and insect pest identification network comprising an encoder and a classifier; wherein the encoder is composed of a standard convolution, a multi-scale attention module and a multi-scale attention bottleneck structure; training a tobacco disease and insect pest identification n