This book discusses the concepts and processes of different livestock systems with the integration of smart technologies. The application of these technologies embedded in livestock systems will enrich the quality of mass production to satisfy the need of the modern world.
Smart Technologies for Sustainable Livestock Systems presents the framework and important key aspects of livestock systems. The authors first address eco-friendly livestock techniques and approaches by discussing the effective management of manure and greenhouse gas emissions that result from large scale livestock operations. They also explore concepts such as livestock supply chain management using blockchain and livestock health monitoring through AI. Technologies such as smart sensors, mobile technology, wireless sensors, cloud computing, Internet of Things, fog/edge computing, automation, robotics and drones are discussed throughout the book. Throughout the book, and through real-world case studies, various sustainability issues that are paramount for ensuring the long-term viability of livestock production systems and achieving global food security and environmental sustainability goals are explored.
The book is intended for engineers, computer scientists, and agricultural analysts working to improve the sustainability of livestock, through smart technologies, such as the AI, the Internet of Things, and smart sensors.
This book discusses the concepts and processes of different livestock systems with the integration of smart technologies. The application of these technologies embedded in livestock systems will enrich the quality of mass production to satisfy the needs of the modern world.
1. Dairy Cattle Systems and Economic Analysis with Smart Technologies.
2. Recent Trends of Integrated crop-livestock system.
3. Managing Animal Manure: Mitigating Greenhouse Gas Emissions.
4. Livestock Supply Chain Management Using Blockchain.
5. Healthy Livestock by Monitoring the Health of Plants.
6. AI-enabled UAV borne Hyperspectral Imaging for Livestock Farm Management.
7. Automated Tracking of Individual Cattle within a Group.
8. Precision Livestock Farming Techniques.
9. Oyster mushroom cultivation using plant-based substrates for livestock feed.
10. Microalgae in Sustainable Monogastric Systems: Bridging Nutritional Enhancement and Environmental Sustainability.
11. Livestock Health Management Using Artificial Intelligence Based Approaches in Rural Areas.
Jose Anand Archangel is a Professor in the Department of Electronics and Communication Engineering, KCG College of Technology, Chennai, Tamil Nadu. He has one year of industrial experience and twenty-four years of teaching experience. He published several papers in national and international journals and has published books covering various polytechnic and engineering subjects. He is a Member of CSI, IEI, IET, IETE, ISTE, INS, QCFI, and EWB. His current research interests are wireless sensor networks, embedded systems, IoT, machine learning, and image processing.
Saravanan Krishnan is an Associate Professor in the Department of Computer Science & Engineering at the College of Engineering, Guindy, Anna University, Chennai, Tamil Nadu, India. His current research interests are Blockchain technology, smart cities, cloud computing, software engineering, and IoT. He is a member of IEI, ISTE, ACM, and ISCA and the Deputy Director for the Centre for University-Industry Collaboration (CUIC), Anna University, Chennai.
D. Dejey is an Associate Professor in the Department of Computer Science and Engineering, College of Engineering, Guindy, Anna University, Chennai, Tamil Nadu, India. Her research interests include signal, image, and video processing; IoT; and multimedia security.
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