Smart Technologies for Sustainable Livestock Systems
CRC Press (Verlag)
978-1-032-86342-9 (ISBN)
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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, Internet of Things and smart sensors.
Dr. K. Saravanan is an Associate Professor, Department of Computer Science & Engineering at College of Engineering, Guindy, Anna University, Chennai, Tamilnadu, India. He is a member of IEI, ISTE, ACM and ISCA. His current research interests are Blockchain technology, smart cities, cloud computing, software engineering, IoT. He is also Deputy Director for Centre for University-Industry Collaboration (CUIC), Anna University, Chennai. Dr. A. Jose Anand is a Professor, 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 Journal and International Journal, and also published books in polytechnic &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. Dr. Dejey D. is an Associate Professor in the Department of Computer Science and Engineering, College of Engineering Guindy, Anna University, Chennai, Tamilnadu, India. Her research interests include Signal, Image and Video Processing, IoT and Multimedia Security.
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.
| Erscheint lt. Verlag | 13.3.2025 |
|---|---|
| Zusatzinfo | 12 Tables, black and white; 26 Line drawings, black and white; 12 Halftones, black and white; 38 Illustrations, black and white |
| Verlagsort | London |
| Sprache | englisch |
| Maße | 156 x 234 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Algorithmen |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Weitere Fachgebiete ► Land- / Forstwirtschaft / Fischerei | |
| ISBN-10 | 1-032-86342-0 / 1032863420 |
| ISBN-13 | 978-1-032-86342-9 / 9781032863429 |
| Zustand | Neuware |
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