Artificial Intelligence in Animal Science, Volume 1 by Yadava, R. L.; Kumar, Ajit; Sarkar, Uttam; Wankar, Alok K.; Tellabati, Rajasekhar;

Revolutionizing Farming and Engineering

Sorozatcím: Livestock Diseases and Management;

20% KEDVEZMÉNY?
A kedvezmény csak az 'Értesítés a kedvenc témákról' hírlevelünk címzettjeinek rendeléseire érvényes.

Kiadói listaár EUR 181.89
Az ár azért becsült, mert a rendelés pillanatában nem lehet pontosan tudni, hogy a beérkezéskor milyen lesz a forint árfolyama az adott termék eredeti devizájához képest. Ha a forint romlana, kissé többet, ha javulna, kissé kevesebbet kell majd fizetnie.

71 046 Ft (67 663 Ft + 5% áfa)
Kedvezmény(ek) 20% (cc. 14 209 Ft off)
Kedvezményes ár 56 837 Ft (54 130 Ft + 5% áfa)
A kedvezmény érvényes eddig: 2026. június 30.

62 521 Ft

Beszerezhetőség

Még nem jelent meg, de rendelhető. A megjelenéstől számított néhány héten belül megérkezik.

A termék adatai:

Kiadó Springer Nature Singapore
Megjelenés dátuma 2026. július 18.

ISBN 9789819215294
Kötéstípus Keménykötés
Terjedelem189 oldal
Méret 235x155 mm
Nyelv angol
Illusztrációk IX, 189 p.

Kategóriák

Hosszú leírás:

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.

Több

Tartalomjegyzék:

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.