Smart Water Quality Monitoring | 78.98 MB
Title: Smart Water Quality Monitoring
Author: Brears, Robert C.
Category: Nonfiction, Science & Nature, Science, Chemistry, Computers, Advanced Computing, Artificial Intelligence, Earth Sciences
Language: English | 507 Pages | ISBN: 1991370172
Description:
This book offers a comprehensive overview of the state-of-the-art techniques for monitoring water quality, leveraging artificial intelligence (AI), IoT technologies, and autonomous vehicles to offer groundbreaking approaches to environmental protection. With contributions from leading experts in electronic engineering and marine sciences, this book presents a multidisciplinary perspective on solving one of the most pressing issues facing our planet: ensuring clean and sustainable water resources.
The chapters cover key concepts such as AI-driven platforms for ecosystem surveillance; chemical analytics for detecting pollutants; and predictive models for assessing future water quality scenarios. Particular attention is given to autonomous systems for dynamic data collection, where readers will learn more about the potential and research challenges of autonomous vehicles equipped with physico-chemical sensors and vision cameras to collect real-time data.
Through empirical research and theoretical insights, this book invites readers to explore innovative methodologies that promise not only to enhance understanding of water ecosystems but also to revolutionize how to monitor them.
Aimed at scholars and professionals across disciplines such as environmental engineering, marine science, sustainability studies, and information technology with an interest in ecological preservation, the book offers invaluable insights into developing effective monitoring systems that can adapt to the challenges posed by global environmental change. It also serves as an essential resource for institutions seeking to equip their libraries with the latest scientific advancements in water ecosystem management.
This book offers a comprehensive overview of the state-of-the-art techniques for monitoring water quality, leveraging artificial intelligence (AI), IoT technologies, and autonomous vehicles to offer groundbreaking approaches to environmental protection. With contributions from leading experts in electronic engineering and marine sciences, this book presents a multidisciplinary perspective on solving one of the most pressing issues facing our planet: ensuring clean and sustainable water resources.
The chapters cover key concepts such as AI-driven platforms for ecosystem surveillance; chemical analytics for detecting pollutants; and predictive models for assessing future water quality scenarios. Particular attention is given to autonomous systems for dynamic data collection, where readers will learn more about the potential and research challenges of autonomous vehicles equipped with physico-chemical sensors and vision cameras to collect real-time data.
Through empirical research and theoretical insights, this book invites readers to explore innovative methodologies that promise not only to enhance understanding of water ecosystems but also to revolutionize how to monitor them.
Aimed at scholars and professionals across disciplines such as environmental engineering, marine science, sustainability studies, and information technology with an interest in ecological preservation, the book offers invaluable insights into developing effective monitoring systems that can adapt to the challenges posed by global environmental change. It also serves as an essential resource for institutions seeking to equip their libraries with the latest scientific advancements in water ecosystem management.
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