http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
applying AI and sensor technologies for sustainable land use
A comprehensive guide to the latest advances in soil characterization. This book explores the role of sensors and artificial intelligence in improving soil management practices and supporting sustainable land use. Through detailed descriptions of sensor and AI-based techniques for measuring physical, chemical, and biological soil properties, readers will gain a deep understanding of the tools and technologies available for soil characterization. The book also covers the latest machine learning algorithms and image processing for analyzing soil data and making informed decisions about land use. This book is an essential resource for researchers, practitioners, and students interested in the intersection of AI and sensor technologies for soil management and sustainability.
Chapter 1. Introduction -- Chapter 2. Fundamentals of soil characterization -- Chapter 3. Sensor-based soil characterization techniques -- Chapter 4. Machine learning and AI techniques -- Chapter 5. Applications of machine learning and artificial intelligence in soil science -- Chapter 6. Image acquisition and processing techniques -- Chapter 7. Sensing and geotechnologies for soil characterization -- Chapter 8. Applications of soil sensors -- Chapter 9. Conclusion and future directions -- Index.
edited by David C. Weindorf, Somsubhra Chakraborty, Bin Li.
includes bibliographical references and index.