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Internet of Things for Environmental Monitoring and Decision Intelligence

The Internet of Things (IoT) is transforming how environmental data is collected, analyzed, and acted upon—creating a connected web of intelligence across land, sea, and sky. Through networks of smart sensors, autonomous buoys, and data loggers, IoT systems continuously measure critical parameters such as temperature, humidity, air quality, soil moisture, and water salinity. This constant data flow enables real-time monitoring and rapid response to emerging threats like pollution, drought, or ecosystem degradation. When coupled with AI-driven analytics, IoT evolves into a decision-support system, turning raw sensor inputs into predictive models that guide policymakers and field operators. Cloud platforms visualize this information through interactive dashboards, allowing researchers and authorities to assess environmental conditions from anywhere. This digital ecosystem eliminates data blind spots, enhances early-warning systems, and enables smarter, evidence-based actions—positioning IoT as a central pillar for sustainability and resilience in climate-vulnerable regions.

IoT and Remote Sensing for Marine Ecosystem and Flood Management

In marine and coastal environments, IoT technology combined with remote sensing and satellite observation provides a comprehensive picture of ecosystem health and hydrological dynamics. Smart buoys equipped with sensors for salinity, pH, dissolved oxygen, and turbidity deliver real-time insights into the state of coral reefs, fisheries, and coastal water quality. These systems feed data into AI-driven platforms that model ocean currents, pollution dispersion, and flood risks, enhancing the ability to predict and mitigate disasters. During storm events, IoT flood sensors and tide gauges transmit alerts instantly, giving communities and authorities the time to act before damage escalates. Integrating this data with drone mapping and radar imagery allows for precise post-event assessment and restoration planning. Ultimately, this convergence of IoT and remote sensing builds a living digital twin of the marine ecosystem—a dynamic, data-rich model that supports conservation, coastal resilience, and informed decision-making for a safer and more sustainable future.

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