Seedling growth condition detection method based on image recognition

The invention belongs to the field of image recognition, and particularly relates to a seedling growth condition detection method based on image recognition, and the method comprises the steps: data collection, data enhancement, data preprocessing, feature extraction, feature classification, model evaluation and optimization, and growth condition detection. The consumption of manpower and time cost is reduced, and the detection efficiency is improved; according to the invention, a bicubic difference image rotation algorithm based on Sobel filter optimization is adopted to carry out data enhancement on a seedling image, and the diversity of a sample data set is enriched; a ResNet34 model with a bottleneck layer is used for extracting features, the reuse rate of the features is improved, and the number of training sets to be used is reduced; and the residual structure of the ResNet34 model is optimized by adopting a high-efficiency double-channel attention method, so that the efficiency of identifying the model