Artificial Intelligence in Livestock Omics
Applications, Challenges, and Future Perspectives
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Product details:
- Publisher Elsevier Science
- Date of Publication 1 October 2026
- ISBN 9780443456633
- Binding Paperback
- No. of pages350 pages
- Size 229x152 mm
- Weight 450 g
- Language English 700
Categories
Long description:
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.
Table of 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
