Price: $108.34
(as of Nov 24,2024 10:41:48 UTC – Details)

Publisher ‏ : ‎ Springer; 1st ed. 2021 edition (June 1, 2021)
Language ‏ : ‎ English
Paperback ‏ : ‎ 324 pages
ISBN-10 ‏ : ‎ 3030711714
ISBN-13 ‏ : ‎ 978-3030711719
Item Weight ‏ : ‎ 1.01 pounds
Dimensions ‏ : ‎ 6.1 x 0.73 x 9.25 inches

IoT-based Intelligent Modelling for Environmental and Ecological Engineering: IoT Next Generation EcoAgro Systems

In the field of environmental and ecological engineering, the integration of Internet of Things (IoT) technology has revolutionized the way we monitor and manage our natural resources. With the development of IoT-based intelligent models, we are able to collect real-time data on environmental conditions, track changes in biodiversity, and optimize resource management practices.

One of the key advancements in this field is the concept of IoT Next Generation EcoAgro Systems, which leverage IoT sensors, data analytics, and machine learning algorithms to create sustainable and efficient agricultural systems. By combining data from various sources such as weather stations, soil sensors, and satellite imagery, these systems can provide farmers with valuable insights into crop health, water usage, and pest control.

The book “IoT-based Intelligent Modelling for Environmental and Ecological Engineering: IoT Next Generation EcoAgro Systems” explores the latest developments in this exciting field. Edited by experts in the field of data engineering and communications technologies, this comprehensive guide covers topics such as sensor networks, data fusion, and predictive modeling for environmental and ecological applications.

Whether you are a researcher, practitioner, or student in the field of environmental science, this book is a valuable resource for understanding the potential of IoT technology in sustainable agriculture and natural resource management. With the rise of IoT-based intelligent modeling, we are entering a new era of eco-friendly and data-driven solutions for our planet’s most pressing environmental challenges.
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