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The integration of artificial intelligence (AI) and the Internet of Things (IoT), collectively known as AIoT, revolutionizes environmental monitoring by enabling intelligent, data-driven, and sustainable solutions. AIoT-powered systems combine real-time data collection from sensors with advanced analytics and machine learning algorithms to monitor, predict, and manage environmental changes. These intelligent systems detect pollution levels, track climate patterns, optimize resource usage, and support early warning systems for natural disasters, promoting environmental sustainability. By harnessing the connection between AI and IoT, researchers and policymakers may develop smarter, more adaptive frameworks that enhance environmental protection while contributing to global sustainability goals. Intelligent Systems and Sustainable Solutions for AIOT-Powered Environmental Monitoring provides a comprehensive overview of the integration of AI and IoT in environmental monitoring and sustainability. It explores how intelligent, connected systems transform monitoring, analysis, and response to environmental changes. This book covers topics such as data science, smart technology, and sustainable development, and is a useful resource for engineers, academicians, researchers, and scientists.
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