Overview
- Analyzes different aspects of sensors implementation in agricultural production
- It maps the global status in advancement and development of prototyped and applied sensing solutions
- Chapter authors are leading experts in the field, providing high-end knowledge
Part of the book series: Springer Optimization and Its Applications (SOIA, volume 182)
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Table of contents (13 chapters)
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Front Matter
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Wireless Network Systems Applications
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Front Matter
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Remote Sensing Applications
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Front Matter
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Proximal Sensing Applications
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Front Matter
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Keywords
About this book
The focus in this volume is on different aspects of sensors implementation in agricultural production (e.g., types of sensors, parameters monitoring, network types, connectivity, accuracy, reliability, durability, and needs to be covered) and provides variety of information and knowledge in the subject of sensors design, development, and deployment for monitoring agricultural production parameters. The book consists of four (4) Sections. The first section presents an overview on the state-off-the art in sensing technologies applied in agricultural production while the rest of the sections are dedicated to remote sensing, proximal sensing, and wireless sensor networks applications.
Topics include:
- Emerging sensing technologies
- Soil reflectance spectroscopy
- LoRa technologies applications in agriculture
- Wireless sensor networks deployment and applications
- Combined remote and proximal sensing solutions
- Crop phenology monitoring
- Sensors for geophysical properties
- Combined sensing technologies with geoinformation systems
Editors and Affiliations
About the editors
Maria Lampridi is a Mechanical Engineer focusing, through her MSc and PhD studies, on Environmental Management and Sustainability. Main research areas include life cycle assessment of agricultural production systems and sustainability assessment of advanced agri-technologies as parts of these systems. Currently she is a Research Assistant in the Institute of Bio-economy and Agri-technology (iBO) of the Center for Research and Technology Hellas (CERTH).
George P. Petropoulos is Assistant Professor in Geoinformatics at the Dept. of Geography, Harokopio University of Athens. His main research interests include: geoinformation with emphasis on applications in physical geography/environment and/or human geography and/or spatial planning, the use of cutting-edge technologies (Earth Observation, GIS, GPS, web, digital cartography) in geographical applications and the presentation, processing, and analysis of geographical data.
Yiannis Ampatzidis is Assistant Professor in precision agriculture and smart machines at the Department of Agricultural & Biological Engineering, University of Florida. He works in the area of mechanization and automation of specialty crop production. His current research focuses on mechanical harvesting of specialty crops, mechatronics, artificial intelligence, machine vision, precision agriculture, precision irrigation, smart machines, UAVs and machine systems.
Panos Pardalos is a world leading expert in global and combinatorial optimization. He serves as Distinguished Professor of industrial and systems engineering at the University of Florida. Additionally, he is the Paul and Heidi Brown Preeminent Professor of industrial and systems engineering. He is also an affiliated faculty member of the computer and information science Department, the Hellenic Studies Center, and the biomedical engineering program. He is also the Director of the Center for Applied Optimization.
Bibliographic Information
Book Title: Information and Communication Technologies for Agriculture—Theme I: Sensors
Editors: Dionysis D. Bochtis, Maria Lampridi, George P. Petropoulos, Yiannis Ampatzidis, Panos Pardalos
Series Title: Springer Optimization and Its Applications
DOI: https://doi.org/10.1007/978-3-030-84144-7
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-030-84143-0Published: 12 April 2022
Softcover ISBN: 978-3-030-84146-1Published: 13 April 2023
eBook ISBN: 978-3-030-84144-7Published: 11 April 2022
Series ISSN: 1931-6828
Series E-ISSN: 1931-6836
Edition Number: 1
Number of Pages: XIV, 325
Number of Illustrations: 9 b/w illustrations, 126 illustrations in colour
Topics: Operations Research, Management Science, Information Storage and Retrieval, Math. Appl. in Environmental Science