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Dr. Nivashini G is an Assistant Professor at Kristu Jayanti (Deemed to be University), Bengaluru, Karnataka, India. Her institutional affiliation is provided in the manuscript, although her specific department is not stated. Her contribution to this book focuses on IoT-based environmental monitoring and pollution prediction
Environmental contamination has emerged as a significant obstacle impacting public health, ecological equilibrium, and sustainable progress. Traditional environmental monitoring frameworks frequently rely on stationary monitoring stations, intermittent sampling, and manual data evaluation, potentially constraining spatial reach, immediate responsiveness, and prompt detection of pollution incidents. The Internet of Things (IoT), artificial intelligence (AI), wireless sensor networks, edge computing, and cloud analytics create prospects for the creation of smart environmental monitoring systems that can perpetually gather, process, and analyse environmental data. This section explores the structural design, sensory technologies, communication standards, data analysis techniques, forecasting algorithms, and real-world uses of IoT-driven environmental surveillance. The section highlights the significance of dependable measurements, projections that account for uncertainty, and regulatory verification in the creation of efficient environmental monitoring systems. Such technologies can facilitate data-driven pollution management, ecological preservation, and sustainable urban and industrial advancement.