Water, our planet's life force, faces multiple challenges in the 21st century, including surging global demand, shifting climate patterns, and the urgent need for sustainable management. Guidance, knowledge, and hope is sharply needed in academia and technology industries, and Innovations in Machine Learning and IoT for Water Management is a formidable resource to provide these necessities. This book delves into the dynamic synergy of Artificial Intelligence (AI), Machine Learning (ML), and the Internet of Things (IoT), ushering in a new era of water resource stewardship.

This book embarks on a journey through the frontiers of AI and IoT, unveiling their transformative impact on water management. From the vantage point of satellite imagery analysis, it scrutinizes the Earth's vital signs, unlocking crucial insights into water resources. It chronicles the rise of AI-powered predictive analytics, a revolutionary force propelling precision water usage and conservation.

This book explains how IoT can be an effective tool to increase intelligence of our water systems. The book meticulously navigates through domains as diverse as aquifer monitoring, hydropower generation optimization, and predictive analytics for water consumption. At its core, it reveals how IoT underpins more intelligent decision-making, rendering water systems more efficient and resilient.

Discover how AI and IoT technologies metamorphose water management practices, from enhancing water quality monitoring to predicting microclimates. The digital revolution demystifies and invigorates weather forecasting, leak detection, wastewater treatment optimization, smart irrigation, and demand response systems. This book caters to a diverse audience, from water management experts and environmental scientists to data science aficionados and IoT enthusiasts. Engineers seeking to reimagine the future of water systems, technology enthusiasts eager to delve into AI's potential, and individuals impassioned by preserving water will all find a well-needed resource in these pages.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

Aquifer Monitoring
Artificial Intelligence
Blockchain-Enabled Water Trading
Climate Change
Data Science
Environmental Science
Flood Monitoring
Internet of Things
Machine Learning
Predictive Analytics
Resource Conservation
Smart Water Systems
Sustainability
Wastewater Treatment
Water Management

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Editor/Author Biographies

Abhishek Kumar is currently working as an Assistant Director in the Computer Science & Engineering Department at Chandigarh University, Punjab, India. is doing Post-Doctoral Fellow in Ingenium Research Group Ingenium Research Group Lab, Universidad De Castilla- La Mancha, Ciudad Real, and Ciudad Real Spain. He has total Academic teaching experience of more than 12 years along with 2 years teaching assistantship. He has more than 160 publications in reputed, peer-reviewed National and International Journals, books & Conferences He has authored/Co-Authored 7 books published internationally and edited 39 books (Published & ongoing with IET, Elsevier, Wiley, IGI GLOBAL Springer, Apple Academic Press, De-Gruyter and CRC, etc. He is Patent holder and got Sir CV Raman National award for 2018 in young researcher and faculty Category from IJRP Group. He is acting as Series Editor for three books series, Quantum Computing with Degruyter Germany, Intelligent Energy System with Elsevier, & Mathematical Methods in the Digital Age: Computational Intelligence & Advancements.

Arun Lal Srivastav works as an Associate Professor at Chitkara University, Himachal Pradesh, India. He obtained Ph.D. degree from the Indian Institute of Technology (BHU), Varanasi, India. He has done post-doctoral research at National Chung Hsing University, Taiwan. He is currently involved in teaching Environmental Science, Environmental Engineering, Disaster Management, and Design Thinking to undergraduate engineering students. His research interests include Water Quality Surveillance, Climate Change, Water Treatment, River Ecosystems, Soil Health, Phytoremediation and Waste Management. He has published over 80 research papers in various prestigious journals (Elsevier, Springer Nature, IWA, Wiley, etc.), including book chapters and conference papers. He is the editor of 17 books with Elsevier, Nova, Springer, IGI Global, and Wiley.

Ashutosh Kumar Dubey is an Associate Professor in the Department of Computer Science at Chitkara University in Himachal Pradesh, India. He is a Postdoctoral Fellow at the Ingenium Research Group Lab, Universidad de Castilla-La Mancha, Ciudad Real, Spain. Dr. Dubey completed his BE and M. Tech degrees in Computer Science and Engineering from RGPV, Bhopal, Madhya Pradesh. He completed his PhD in Computer Science and Engineering at JK Lakshmipat University in Jaipur, Rajasthan, India. He is a Senior Member of both IEEE and ACM and possesses more than 16 years of teaching experience. Dr. Dubey has authored and edited fifteen books and has published over 65 articles in peer-reviewed international journals and conference proceedings. He serves as an Editor, Editorial Board Member, and Reviewer for numerous peer-reviewed journals. His research interests encompass Machine Learning, Renewable Energy, Health Informatics, Nature-Inspired Algorithms, Cloud Computing, and Big Data.

Vishal Dutt, a Principal Research Consultant at AVN Innovations, is a renowned freelance trainer in Android development with over seven years of academic teaching experience. He has authored over 50 publications in prestigious national and international journals, SCI and Scopus journals, conferences, and book chapters. Vishal has contributed editorially to two books with Wiley and Eureka publications and is working on three additional publications with Wiley. A sought-after keynote speaker, he has significantly contributed to workshops and webinars across India. He provides peer review services for elite publishers like Elsevier, Springer, and IEEE Access and was a program committee member and reviewer for ICCIPS 2021. His research focuses on Data Science, Data Mining, Machine Learning, Deep Learning, and Remote Sensing, with extensive experience in data analytics using Rapid Miner, Tableau, and WEKA, as well as over six years in Java and Android development.

Narayan Vyas, a Principal Research Consultant at AVN Innovations, is a distinguished academician and expert in advanced technologies. He cleared the NTA UGC NET & JRF in Computer Science & Applications on his first attempt, underscoring his academic excellence. With profound knowledge of the Internet of Things (IoT) and Mobile Application Development, he has trained students worldwide and authored numerous articles in reputable national and international Scopus-indexed conferences and journals. His research spans IoT, Remote Sensing, Machine Learning, Deep Learning, and Computer Vision. A sought-after keynote speaker, Mr. Vyas collaborates with leading publishers like Wiley, IGI Global, and DeGruyter on various book projects, marking his significant contribution to the field.

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