Elsevier Artificial Intelligence in Livestock Omics: Applications, Challenges, and Future Perspectives

Artificial Intelligence in Livestock Omics: Applications, Challenges, and Future Perspectives delves into the cutting-edge intersection of AI and livestock science, exploring how advanced algorithms are transforming the analysis and application of omics data in livestock production. This book addresses the convergence of AI and biotechnology, highlighting how these fields are not only transforming livestock farming but also contributing to broader goals within personalized medicine, genetic improvement, and the development of resilient animal breeds. Sections provide readers with practical insights, real-world case studies, and a forward-looking perspective on the future of AI-driven livestock management. The integration of AI with omics technologies can also aid in global efforts to improve food security, animal welfare, and sustainable agricultural practices. Whether a researcher, industry professional, or policymaker, this book offers valuable tools and strategies to enhance precision farming, improve animal health, and drive sustainable agriculture in the digital age. Explores the integration of AI across genomics, transcriptomics, proteomics, and metabolomics that are specifically tailored to applications in livestock science Utilizes case studies to provide practical insights into AI-driven livestock management Considers the ethical, legal, and social implications of AI in livestock farming Highlights emerging trends and technologies and discusses potential new directions for research and innovations