Research on the application of image recognition technology in live-stock and poultry behavior recognition

Image recognition technology, leveraging the analytical capabilities of deep learning models, has become an advanced non-contact monitoring tool in the livestock and poultry industry, achieving efficient monitoring and analysis of livestock and poultry behavior, thereby improving production efficiency and animal welfare. This article outlines the development and basic principles of image recognition technology, with a focus on the current application of image recognition techniques such as object detection, image segmentation, and pose estimation in the recognition of animal behavior. It also highlights the challenges faced by image recognition technology in the application of animal behavior recognition and proposes optimization strategies. This paper aims to provide a reference for accelerating the efficient and sustainable development of the breeding industry, promoting the deep integration of artificial intelligence and breeding, and driving the continuous development of the domestic modern breeding industry.