Design of a Cow Body Recognition System Based on Deep Learning

With the advancement of modern animal husbandry in China, it is particularly important to establish smart farms through technologies such as the internet and 5G communication to achieve fine-grained management. Achieving smart farming through cattle identification is a crucial step. To improve the accuracy of cattle identification in the animal husbandry industry, this project establishes a dataset of cattle body features. Then, a cattle identification system is designed based on computer vision to extract cattle body features. Specifically, the YOLOv5 model is used to detect and extract the image features of cattle bodies. Finally, the detected cattle body image features are compared and updated with the database on the server to complete the cattle identification.