Digital Twin Technology for Sustainable Agriculture : Applications, Implementation and Future Trends

個数：

予約

Digital Twin Technology for Sustainable Agriculture : Applications, Implementation and Future Trends

Srivastav, Arun Lal (EDT)/ Kumar, Naveen (EDT)/ Zinicovscaia, Inga (EDT)

ウェブストア価格 ¥44,207（本体¥40,189）
Springer Verlag, Singapore（2026/03発売）
外貨定価 US$ 199.99
ポイント 401pt

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製本 Hardcover:ハードカバー版
言語 ENG
商品コード 9789819559145

Full Description

This book explores into the future of agriculture, where technology and sustainability intersect to revolutionize farming practices. It delves into the concept of digital twins-virtual replicas of physical farm assets and processes-and their transformative impacts on modern agriculture. The book also highlights various applications of digital twin technology in agriculture, from crop monitoring and soil health management to livestock productivity and precision irrigation. Through detailed case studies, real-world examples, and success stories, this book showcases the tangible benefits of integrating digital twins into farming operations. Moreover, it also addresses the implementation strategies for adopting this technology, including the integration of IoT sensors, data collection and development of digital twin frameworks. The authors conclude by discussing the technical, operational and data privacy issues that farmers and agricultural technologists may encounter, providing practical solutions to overcome these barriers in the agriculture sector.

This book is a suitable read for students, academicians and researchers working at the intersect of agriculture and artificial intelligence.

.- 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.