Artificial Intelligence in Animal Science, Volume 1
Revolutionizing Farming and Engineering
Series: Livestock Diseases and Management;
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Product details:
- Publisher Springer Nature Singapore
- Date of Publication 18 July 2026
- ISBN 9789819215294
- Binding Hardback
- No. of pages189 pages
- Size 235x155 mm
- Language English
- Illustrations IX, 189 p. 700
Categories
Long description:
This book explores how AI technologies are transforming animal agriculture. This edited volume integrates research, practical applications, and interdisciplinary perspectives, showcasing AI’s role in feed optimization, disease prediction, livestock monitoring, and animal welfare. It captures the digital shift in global farming, offering insights into building intelligent systems for sustainable animal production.
The book’s foundation lies in the urgent need to merge animal science with AI-driven engineering to address food security, environmental sustainability, and rural development. By bridging computer science, biology, and agricultural engineering, it lays a robust framework for leveraging AI in modern animal husbandry. This background is critical to understanding how traditional farming methods are evolving into data-centric, efficient, and ethical systems that benefit farmers, animals, and consumers alike.
Spanning ten comprehensive chapters, the book covers the fundamentals of animal science and AI methodologies, practical applications in health management, reproduction, and smart farming technologies. It addresses ethical considerations, data management, and real-world challenges, while projecting future trends such as robotics and climate-smart practices. Each chapter provides both theoretical depth and case studies, making it a holistic resource for advancing intelligent animal farming.
This volume targets researchers, agritech innovators, veterinarians, and policymakers invested in the future of animal agriculture. It is essential for those seeking to harness AI to improve productivity, welfare, and sustainability in livestock systems, fostering interdisciplinary collaboration and innovation across sectors.
MoreTable of Contents:
Chapter 1. AI in Animal Science- An Introduction.- Chapter 2. Fundamentals of Animal Science for AI Applications.- Chapter 3. Core Methodologies in Artificial Intelligence and Machine Learning.- Chapter 4. AI Approaches in Animal Monitoring and Health Management.- Chapter 5. AI Approaches for Livestock Reproduction and Animal Breeding.- Chapter 6. Sensor Networks and IoT in Smart Animal Farming.- Chapter 7. Data Management in AI-Enabled Animal Science.- Chapter 8. Ethics, Privacy, and Legal Frameworks in Human-Animal Interactions.- Chapter 9. Overcoming Challenges with AI Approaches in Animal Science.- Chapter 10. Prospective Developments and Technological Trends in Animal Science.
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