Artificial Intelligence in Livestock Omics

Name: Artificial Intelligence in Livestock Omics
Brand: Elsevier Science
SKU: 9780443456633
Price: 723.49 PLN
Availability: PreOrder

Applications, Challenges, and Future Perspectives

Autor: Navid Ghavi Hossein-Zadeh

Język:

Oprawa: Miękka

Wydawca: Elsevier Science

Dostępność: Oczekiwana premiera

Wydanie 01. 10. 2026

723.49 zł

Omics technologies can enable better understanding, prediction, and manipulation of traits critical...

Informacje o książce

Autor

Navid Ghavi Hossein-Zadeh

Język

Angielski

Oprawa

Książka - Miękka

Data wydania

2026

strony

350

EAN

9780443456633

ISBN

0443456631

Enbook ID

51294622

Wydawca

Elsevier Science

Waga

450

Wymiary

152 x 229

Pełny opis

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.

Explores the integration of AI across genomics, transcriptomics, proteomics, and metabolomics 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

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Artificial Intelligence in Livestock Omics

Applications, Challenges, and Future Perspectives

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