- ホーム
- > 洋書
- > ドイツ書
- > Mathematics, Sciences & Technology
- > Earth Science
- > geology
Full Description
This book is designed to serve as a comprehensive resource that bridges the gap between traditional soil conservation techniques and cutting-edge, technology-driven approaches, specifically centering around the latest advancements in Artificial Intelligence (AI). Additionally, it aims to provide insights into diverse approaches such as site-specific nutrient application techniques, remote sensing and precision agriculture. The book seeks to make researchers, practitioners, and policymakers aware of these evolving technologies and methods, equipping them with the knowledge required to address contemporary challenges in soil conservation while preparing them for future developments.
What sets this book apart from others in the field is its unique combination of traditional and modern approaches. Unlike other works that may focus solely on historical methods or exclusively on advanced technologies, this book provides a comprehensive overview that encompasses both. It integrates diverse disciplines such as soil science, soil and water conservation, agroforestry, ecology, AI, remote sensing, and precision farming to offer a multidisciplinary perspective essential for addressing complex soil conservation challenges. Additionally, the book places a strong emphasis on practical applications, featuring real-world case studies that enable readers to apply the knowledge to their own work. The exploration of AI and advanced technologies, particularly in how they can be used to revolutionize soil conservation, highlights the innovative potential of these tools. Moreover, the inclusion of ethical considerations and policy frameworks ensures that the use of modern technology is balanced with the need for sustainability, fairness, and respect for traditional practices.
Contents
1. Global Historical Perspectives of Soil Conservation.- 2-Soil Fundamentals: Ecology, Formation, and Classification.- 3-Soil Erosion and its Control Techniques.- 4-Traditional Soil Erosion Measurement Techniques.- 5-Modelling Approaches for Global Soil Conservation Planning.- 6-Soil Erosion Modelling Using Empirical Models Across Regions.- 7-Soil Erosion Modeling Using Physical Based Models.- 8-Remote Sensing, GIS, and UAVs in Soil Erosion Assessment.- 9-Conservation Agriculture: Techniques from Indigenous Farming Systems Worldwide.- 10-Agroforestry and Its Role in Soil Conservation.- 11-Agroforestry and Its Role in Soil Conservation Across Climates.- 12-Soil conservation through Terracing and contour farming.- 13-Economic Aspects of Soil Conservation.- 14-Artificial Intelligence and Precision Farming: An Overview.- 15-AI-Driven Soil Erosion Prediction Models.- 16-AI-Based Soil Texture classification and its application in soil conservation.- 17-Precision Farming Techniques for Soil Conservation in Diverse Climates.- 18-Application of RS and GIS in Soil Conservation Planning.- 19-Land use land cover change detection analysis for soil conservation.- 20-Integrating AI with Traditional Knowledge: Enhancing Soil Conservation Practices.- 21-Erosion's Impact on Climate Change, Ecology, and the Economy.- 22-Ethical Considerations and Policy Frameworks for AI in Soil Conservation.- 23-The Future of AI in Soil Conservation and the Way Forward.



