A Review of Animal Individual Recognition Based on Computer Vision

With the improvement of modernization, China's animal husbandry and fishery enterprise has ushered in a new vogue of informationization, factorization, and precision farming, and the demand for unique identification of individual animals is growing. Traditional individual animal identification methods, such as footprint identification, molecular biology, and different techniques, have low accuracy, excessive cost, and different risks. RFID technological know-how and implants put on monitoring units and different techniques additionally face invasiveinvasiveness, excessive labor costs, slender application scopes and challenges in promoting a massive place and different issues. Deep learning is enjoying an increasing number of essential positions in the discipline of animal individual identification, which has made it possible for the noninvasive recognition of individual animals. This paper discusses the progress of individual animal recognition using computer vision techniques and its application popularity in different species fields, focuses on the issues and challenges of individual animal recognition, and suggests that future lookup instructions for animal identification are foreseen.