Environmental Monitoring Using Artificial Intelligence

Pandey, Santosh

ISBN 10: 1779569890 ISBN 13: 9781779569899

Publisher: Delve Publishing, 2026

Synopsis

Environmental quality assessment has evolved through the integration of artificial intelligence, enabling faster and more accurate monitoring of ecosystems. AI enhances environmental management by automating data collection, analysis, and prediction of pollution trends. Environmental Monitoring Using Artificial Intelligence explains the use of machine learning, neural networks, and sensor-based systems in tracking environmental parameters. The book explores applications in air and water quality analysis, climate modeling, and biodiversity assessment. It also highlights emerging technologies such as remote sensing and predictive analytics. Through practical examples and algorithmic insights, it guides scientists and engineers in developing intelligent monitoring solutions for sustainable ecosystems.

About this title

About the Author

Dr. Santosh Pandey is a distinguished agricultural expert with 25 years of dedicated experience in organic and sustainable farming research and education. Currently serving as Assistant Professor in the Department of Agronomy at Institute of Agricultural Science, Bundelkhand University, Jhansi (U.P.). He holds a Ph.D. in Agronomy specializing in integrated weed management in wheat. His prolific academic career includes authoring multiple books, publishing over 40 research articles and supervising 68 M.Sc. and multiple Ph.D. scholars. Dr. Pandey's research expertise spans organic farming, cereals & legumes production, weed management practices and sustainable agricultural systems. His commitment to knowledge dissemination extends through extensive training programs, conference presentations and popular agricultural articles, making significant contributions to agricultural sustainability and food security in the Bundelkhand region.

Edition details

• Publisher: Delve Publishing
• Publication date: 2026
• Language: English
• ISBN 10: 1779569890
• ISBN 13: 9781779569899
• Binding: Library Binding
• Number of pages: 447