A Review on the Role of Artificial Intelligence in Livestock Health Management
Lalit Kumar *
Department of Livestock Production and Management, School of Agricultural Sciences, Nagaland University, Medziphema Campus, Nagaland-797106, India.
Kaajal Nainwal
Department of Animal Husbandry & Dairying, Sam Higginbottom University of Agriculture Technology & Sciences, Prayagraj, Uttar Pradesh-211007, India.
Sanjay
Department Livestock Production and Management, College of Agriculture, Bikaner, Rajasthan, 334006, India.
Pooja Nitharwal
Department of Livestock Production and Management, School of Agricultural Sciences, Nagaland University, Medziphema Campus, Nagaland-797106, India.
Yogendra Kumar Shukla
Department of Soil Science, Krishi Vigyan Kendra, RVSKVV, Khandwa, India.
Rashmi Shukla
Department of Home Science, Krishi Vigyan Kendra, RVSKVV, Khandwa, India.
Pulkit Chugh
Livestock Production Management, LUVAS, Hisar, 125004, Haryana, India.
*Author to whom correspondence should be addressed.
Abstract
Artificial Intelligence (AI) is transforming livestock health management by introducing practices that are guided by data, efficient, and environmentally sustainable. This paper examines how AI technologies are being applied in animal agriculture, emphasizing their contributions to live monitoring, illness detection, behavior tracking, and improving breeding processes. Utilizing machine learning, computer vision, and Internet of Things (IoT) tools, AI supports early health issue identification, enhances animal well-being, and boosts overall productivity. The discussion includes applications like automated health evaluations and advancements in reproductive success, alongside the significant impact of AI in managing poultry. Additionally, the study considers the hurdles of implementing AI, such as substantial costs, information security, and moral implications. In spite of these challenges, AI presents valuable opportunities for the advancement of precision livestock farming by promoting informed decisions and optimized use of resources. The paper finishes by projecting how AI could influence the future of livestock oversight through ongoing research, technological innovation, and supportive policies, all while maintaining ethical and sustainable practices in farming.
Keywords: Artificial intelligence, livestock, health management, environment, IoT, animal agriculture