Narayan Vyas, an academician at Vivekananda Global University, specializes in computer science, focusing on IoT and Mobile App Development. He has trained over 1000 students globally and published extensively in Scopus journals. An active IEEE member, his research interests include Remote Sensing, Machine Learning, and Computer Vision.
Innovations in Machine Learning and IoT for Water Management
Price: 300.00 $ | Publisher: IGI Global
Editors: Abhishek Kumar, Arun Lal Srivastav, Ashutosh Kumar Dubey, Vishal Dutt, Narayan Vyas
Release Date: November 2023 | Copyright: © 2024 | Language: English | Categories: Technology, IoT
ISBN: 978-8-3693-1194-3 | DOI: 10.4018/979-8-3693-1194-3
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 are 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 the 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.
Buy NowChapter 1: Introduction to ML and IoT for Water Management
Authors: Nalluri Poojitha, B. Ramya Kuber, Ambati Vanshika
Chapter 2: A Comprehensive Exploration of Machine Learning and IoT Applications for Transforming Water Management
Authors: Mandeep Kaur, Rajni Aron, Heena Wadhwa, Righa Tandon, Htet Ne Oo, Ramandeep Sandhu
Chapter 3: Artificial Intelligence for Water Resource Planning and Management
Authors: Richa Saxena, Vaishnavi Srivastava, Dipti Bharti, Rahul Singh, Amit Kumar, Abhilekha Sharma
Chapter 4: Forecasting Weather and Water Management Through Machine Learning
Authors: Inzimam Ul Hassan, Zeeshan Ahmad Lone, Swati Swati, Aya Gamal
Chapter 5: Optimizing Water Resources With IoT and ML: A Water Management System
Authors: Rakhi Chauhan, Neera Batra, Sonali Goyal, Amandeep Kaur
Chapter 6: Utilizing Machine Learning for Enhanced Weather Forecasting and Sustainable Water Resource Management
Authors: Risha Dhargalkar, Viosha Cruz, Abdullah Alzahrani
Chapter 7: AI-Based Smart Water Quality Monitoring and Wastewater Management: An Integrated Bio-Computational Approach
Authors: Dipankar Ghosh, Sayan Adhikary, Srijaa Sau
Chapter 8: Revolutionizing Water Quality Monitoring: The Smart Tech Frontier
Authors: Ambati Vanshika, B. Ramya Kuber, Nalluri Poojitha
Chapter 9: Data-Driven Aquatics: The Future of Water Management With IoT and Machine Learning
Authors: V. Dankan Gowda, Anil Sharma, Rama Chaithanya Tanguturi, K. D. V. Prasad, Vasifa Sameer Kotwal
Chapter 10: Detection of Ephemeral Sand River Flow Using Hybrid Sandpiper Optimization-Based CNN Model
Authors: Arunadevi Thirumalraj, V. S. Anusuya, B. Manjunatha
Chapter 11: Design of IoT-Based Automatic Rain-Gauge Radar System for Rainfall Intensity Monitoring
Authors: Ahmad Budi Setiawan, Danny Ismarianto Ruhiyat, Aries Syamsuddin, Djoko Waluyo, Ardison Ardison
Chapter 12: Empowering Safety by Embracing IoT for Leak Detection Excellence
Authors: Neha Bhati, Ronak Duggar, Abeer Saber
Chapter 13: Using Augmented Reality (AR) and the Internet of Things (IoT) to Improve Water Management Maintenance and Training
Authors: Muskan Sharma, Yash Mahajan, Abeer Saber
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