Artificial Intelligence in Livestock Omics : Applications, Challenges, and Future Perspectives
Language: English
Published by Elsevier Science Publishing Co Inc Okt 2026, 2026
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Add to basketItem description from seller
Neuware - 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.…
Seller Inventory # 9780443456633
- Title
- Artificial Intelligence in Livestock Omics : Applications, Challenges, and Future Perspectives
- Author
- Navid Ghavi Hossein-Zadeh
- Publisher
- Elsevier Science Publishing Co Inc Okt 2026
- Publication year
- 2026
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 0443456631
- ISBN 13
- 9780443456633
- Item weight
- 1,456 grams
- Dimensions
- 275x213x29 mm
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
"Synopsis" may belong to another edition of this title.
About the Author
Navid Ghavi Hossein-Zadeh is a Professor in the Department of Animal Science at the University of Guilan in Iran. He graduated with a Ph.D. in animal breeding and genetics from the University of Tehran in Iran. His main research interests include genetic and genomic evaluations, improvement of farm animals using conventional and advanced methods/models, animal breeding strategies, and modeling of farm animal systems. He is the editor-in-chief of Animal Production Research, a member of the editorial board of the Journal of Dairy Research, and associate editor of the Journal of Animal Science and Technology, Frontiers in Genetics, and Frontiers in Veterinary Science. He was listed among the top 2% of global scientists in their major field in 2020-2023. He was also selected as one of the best academic staff in Iran in 2023.
"About the title" may belong to another edition of this title.
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