Artificial Intelligence in Animal Science, Volume 1
Revolutionizing Farming and Engineering
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Beschreibung
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.
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.
Bridges artificial intelligence with animal science, agriculture, and engineering to offer cross-domain solutions Presents practical case studies and implementations of AI in livestock health, nutrition, smart farm management Tackles critical issues like food security, environmental impact, and animal welfare using AI frameworks
Autor*in
Ram Lal Yadava
Themen in »Artificial Intelligence in Animal Science, Volume 1«
AI-driven Precision Farming AI-driven Animal Health Monitoring Big Data Analytics Cybersecurity Threats in Agriculture Predictive Analytics for Animal Health Crossbreeding Robotics in Livestock Management