Digital Twin Technology for Sustainable Agriculture
Springer Verlag, Singapore
978-981-95-5914-5 (ISBN)
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This book is a suitable read for students, academicians and researchers working at the intersect of agriculture and artificial intelligence.
Dr Arun Lal Srivastav is working as an Associate Professor at Chitkara University, Himachal Pradesh, India. He received PhD from the Indian Institute of Technology (BHU), Varanasi, India in water treatment. He has also pursued post-doctoral research at National Chung Hsing University, Taiwan, China. He is currently involved in the teaching of environmental science, environmental engineering, disaster management and design thinking to the undergraduate engineering students. His research interests include water quality surveillance, soil health maintenance, engineering education, phytoremediation and agro-waste management. He has published >125 research papers in internationally prestigious journals. He has also filed 25 patents on multidisciplinary topics and 12 out of which have been granted by the Government of India. Dr. Naveen Kumar is working as an Assistant Professor at Himachal Pradesh University, Shimla, India. He has completed his PhD form Himachal Pradesh University, Shimla, India. He has also worked with National Physical Laboratory, New Delhi (Ministry of Science and Technology). His expertise areas are UI/UX, web development and software engineering. He has published 20+ research papers along with attended 15+ conferences. Dr. Inga Zinicovscaia is working as a Head of the Sector in the Frank Laboratory of Neutron Physics of the Joint Institute for Nuclear Research, Dubna, Russia. She has obtained her Doctor of Science from Moldova State University, Chisinau, Republic of Moldova on study of the impact of some metals determined by neutron activation analysis on the quality of the environment. Her research interests include evaluation of food quality, assessment of elements uptake in soil-plant systems and investigation of fertilizers impact on crops. She has published more than 220 research papers in prestigious ISI journals as well as several book chapters and monographs on environment compartment remediation.
.- Chapter 1: Introduction to Sustainable farming 4.0 practices
.- Chapter 2: Importance of Sustainable Agriculture
.- Chapter 3: Emerging Digital Technologies in Agriculture: Innovations for a Sustainable Future
.- Chapter 4: Fundamentals of Digital Twin Technology in Agriculture
.- Chapter 5: From Soil to Simulation: Digital Twins and the Future of Smart Agriculture
.- Chapter 6: Challenges and Solutions of Digital Twin Technologies for Agricultural Perspectives
.- Chapter 7: Digital Twin-Driven Predictive Models for Crop Disease Detection
.- Chapter 8: Applications of Digital Twins in Agriculture
.- Chapter 9: Technical innovation in farming 4.0 for the future of sustainable agriculture
.- Chapter 10:Modelling the Future: Digital Twins in Sustainable and Climate-Aware Farming
.- Chapter 11:Evolution of Agriculture Technology: Assimilation of Biotechnology and Food Technology for Smart and Sustainable Agriculture
.- Chapter 12:Practical Implementation of Digital Twins in Agriculture: Case Studies and Future Directions
.- Chapter 13:Digital Twin Applications in Agriculture: Emerging Prospects and Opportunities
.- Chapter 14:Digital Twin Applications for Air Pollution-Resilient Rice Agriculture
.- Chapter 15:Digital Twins in Sustainable Agriculture in Precision Irrigation and Water Management: Challenges & Future Perspectives
.- Chapter 16:Applications of Digital Twins in Agriculture Enhancing Crop Monitoring, Livestock Health, Soil Fertility, and Water Management
.- Chapter 17:Twin-Driven Crop Monitoring and Management A Machine LearningApproach for Crop Yield Optimization
.- Chapter 18:Vertical and Layered Farming with Digital Twin Technology
.- Chapter 19:Digital Twins and AI: Synergizing Intelligence for Sustainable Farm Management
.- Chapter 20: Digital Twin Implementation in Agriculture: Strategies Leveraging AI and IoT
.- Chapter 21: Digital Twins for Sustainable Agriculture: Advancing Productivity, Resilience, and Equity.
| Erscheint lt. Verlag | 6.3.2026 |
|---|---|
| Zusatzinfo | 43 Illustrations, color; 5 Illustrations, black and white |
| Verlagsort | Singapore |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Technik ► Umwelttechnik / Biotechnologie | |
| Weitere Fachgebiete ► Land- / Forstwirtschaft / Fischerei | |
| Schlagworte | Artificial intelligence for sustainable agriculture • Digital twin in agriculture • Farming 4.0 • IoT in Agriculture • Precision Agriculture • Real-time monitoring in agriculture |
| ISBN-10 | 981-95-5914-6 / 9819559146 |
| ISBN-13 | 978-981-95-5914-5 / 9789819559145 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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