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Remote Sensing in Precision Agriculture: Transforming Scientific Advancement into Innovation - Earth Observation George P. Petropoulos
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Remote Sensing in Precision Agriculture: Transforming Scientific Advancement into Innovation - Earth Observation
George P. Petropoulos
Remote Sensing in Precision Agriculture compiles the latest applications of remote sensing in agriculture using spaceborne, airborne and drones' geospatial data. Agriculture is a major sector in the global economy, and over the past few decades, Remote Sensing and GIS have been increasingly, and importantly, implicated in the monitoring, management and mapping of agricultural fields at local, regional and even global scales.
The proposed book will comprise recent case studies, new algorithms and the latest methods about crop sown area estimation, determining the crop health status, assessment of vegetation dynamics, crop diseases identification, crop yield estimation, soil properties, drone image analysis for crop damage assessment and other issues in relation to precision agriculture. Presented in 6 sections; 1- Introduction and Principles of Precision Agriculture, 2-PA Practices for soil management, 3-PA practices for irrigation water management, 4-PA practices for crop management 5-Advanced modelling practices in PA, 6- Data, pipelines, AI, and decision support systems. and 7-Future Aspects and Challenges in RS for PA, Remote Sensing in Precision Agriculture is ideal for those seeking to explore and implement remote sensing in an effective and efficient manner.
This book provides a compendium of basic and applied information to readers searching for accessible yet scientifically and technologically sound information from top scientists & experts in the field of remote sensing in agriculture.
514 pages, 230 illustrations (184 in full color); Illustrations, unspecified
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | October 23, 2023 |
| ISBN13 | 9780323910682 |
| Publishers | Elsevier Science & Technology |
| Pages | 554 |
| Dimensions | 150 × 220 × 10 mm · 1 kg |
| Language | English |
| Editor | Kayad, Ahmed (researcher in DIGITAL AGRICULTURE LAB at the University of Padova, Italy.) |
| Editor | Lamine, Salim (Professor in Remote Sensing (RS) and Precision Agriculture (PA), Higher School of Saharan Agriculture Adrar, Adrar, Algeria) |
| Editor | Munoz Arriola, Francisco (Associate Professor, Department of Biological Systems Engineering and the School of Natural Resources, University of Nebraska-Lincoln, USA) |
| Editor | Pandey, Prem Chandra (Assistant Professor, Department of Life Sciences, School of Natural Sciences, Shiv Nadar Institution of Eminence (Deemed to be University), India) |
| Editor | Srivastava, Prashant K. (Remote Sensing Laboratory, IESD, Banaras Hindu University, Varanasi, India) |
