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Full Description
Omics technologies can enable better understanding, prediction, and manipulation of traits critical to farm animal health, productivity and welfare. 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. The integration of AI with omics technologies can also aid in global efforts to improve food security, animal welfare, and sustainable agricultural practices. 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. Artificial Intelligence in Livestock Omics: Applications, Challenges, and Future Perspectives provides readers with practical insights, real-world case studies, and a forward-looking perspective on the future of AI-driven livestock management. 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.
Contents
1. Introduction
2. Overview of Omics Technologies
3. Fundamentals of Artificial Intelligence in Livestock Management
4. Genomics and AI Integration
5. Transcriptomics and AI Applications
6. Proteomics and AI in Livestock
7. Metabolomics and the Power of AI
8. AI in Integrative Omics
9. Precision Breeding with AI
10. Metagenomics and AI for Animal Health
11. Epigenomics, Omics, and AI for Animal Health
12. Nutrigenomics and AI for Feed Optimization
13. Reproductive Omics and AI
14. Ethical and Societal Considerations in AI and Livestock
15. References
