Crop pest identification method and system based on deep integration model

The invention discloses a crop pest recognition method and system based on a deep integration model, and the method comprises the following steps: carrying out the preprocessing of an obtained to-be-recognized pest image, and adjusting the dimensions of the to-be-recognized pest image to be the input dimensions of a Resnet50 model, a Volo model and a Convformer model; enhancing the preprocessed image by adopting a data enhancement method; respectively utilizing a Resnet50 model, a Volo model and a Convformer model to predict pest classes in the preprocessed pest image to be identified, and obtaining a prediction result; integrating the prediction results of the three magic properties by using a Bagging integration algorithm to obtain the prediction probability of the pest categories contained in the existing data set; and taking the pest category with the maximum prediction probability in the pest categories contained in the existing data set as a final pest identification result. According to the method, the