Research on online detection method of total mixed ration classification

At present, the traditional method of eligibility classification of TMR is mainly operated manually, which is time-consuming and labor-intensive. This paper adopts the method of image classification based on deep learning for online detection of TMR classification. This article first constructs the TMR data set, and then uses GoogLeNet, ResNet and SEnet three classic network models to conduct preliminary experiments. According to the experimental results, the optimal model is selected to improve the model in terms of accuracy and speed. The improved model has an accuracy rate of 96.82%, and the speed basically meets the practical needs, providing a theoretical basis for the subsequent research and development of intelligent TMR batching systems and equipment.