Deep Learning Based Image Recognition In Animal Husbandry

Deep learning technology is an important new force in the emerging science and technology revolution and the revolution of the animal husbandry industry, and plays a crucial role in the process of being digitization, informatization and wisdom of the animal husbandry industry in China. The application of deep learning-based image recognition in the livestock industry provides a new solution to the problems of disease prevention, precise identification and biosafety prevention and control at the farming side, and will become a powerful booster to promote the livestock industry towards modernization. The use of convolutional neural network after extracting a feature to complete the link according to the type of feature classification, then complete the data pre-processing, and using super pixel-based image segmentation and SIFT algorithm to complete image segmentation and image feature extraction, and finally through the convolutional neural network and support vector machine to complete the classification and prediction of animal action, driving the overall management level of the livestock industry to improve, and become an effective way to promote the development of intelligent animal husbandry.