Environmental Monitoring Using Artificial Intelligence

Environmental Monitoring Using Artificial Intelligence is a vital resource for anyone looking to leverage cutting-edge technologies in artificial intelligence and sensor systems to effectively address environmental challenges, offering innovative solutions and insights essential for creating a sustainable future.

Environmental Monitoring Using Artificial Intelligence provides a comprehensive exploration of the cutting-edge technologies transforming environmental monitoring. This book bridges the gap between artificial intelligence (AI), natural language processing (NLP), and sensor-based systems, highlighting their potential to revolutionize the way we address pressing environmental challenges. Each chapter presents innovative case studies, real-world applications, and the latest research on how these technologies are being utilized to monitor and manage ecosystems, water resources, air quality, and urban sustainability.

From advanced sensor networks to machine learning models, this book covers a broad spectrum of topics, including smart water solutions, biodiversity conservation, waste management, and agricultural sustainability. It offers an interdisciplinary approach, making it an essential resource for environmental engineers, data scientists, researchers, and policymakers. Whether you’re exploring smart city innovations, renewable energy monitoring, or AI-driven solutions for environmental protection, Environmental Monitoring Using Artificial Intelligence equips readers with the knowledge and tools to leverage technology for a sustainable future.

A. Suresh, PhD, is an associate professor in the Department of Networking and Communications in the School of Computing, at the SRM Institute of Science and Technology, Tamil Nadu, India with over decades of experience. He has been granted nine patents, published over 150 papers in technical journals and over 100 papers at international scientific conferences, as well as several books. Additionally, he has served as an editor and reviewer for various journals and a chair of several conferences and workshops.

T. Devi, PhD, is a professor in the Department of Computer Science and Engineering at the Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, India. She has published her research work in reputed international journals and presented papers in several national and international and conferences and has published patents in the computer science and engineering field. Her areas of specialization include cryptography, network security, cloud computing, artificial intelligence, machine learning, and blockchain.

N. Deepa, PhD, is an associate professor in the Department of Computer Science and Engineering at the Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, India. She has presented papers in several national and international conferences, as well as published her research work in reputed international journals and conferences and patents in the computer science and engineering field. Her areas of specialization include deep learning, machine learning, mobile computing, cryptography, network security, and blockchain.

Ali Kashif Bashir, PhD, is a professor at the School of Computing and Mathematics, Manchester Metropolitan University, United Kingdom and an adjunct professor at the School of Electrical Engineering and Computer Science, National University of Science and Technology, Islamabad. Additionally, he has authored over 90 peer-reviewed articles and advised several startups in the field of STEM-based education, robotics, and smart homes. He is a senior member of the Institute of Electrical and Electronics Engineers and a Distinguished Speaker for the Association for Computing Machinery and serves as an editor and reviewer for a number of journals.