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The research paper explores using the Internet of Things to monitor rivers and lakes. The paper discusses using IoT sensors and devices to collect real-time environmental data. Water quality indicators include pH, dissolved oxygen, turbidity, temperature, and nutrient concentrations. The system evaluates aquatic habitats and improves water resource management. By continually collecting and analyzing data, the system detects pollution, habitat deterioration, and other ecological problems early. Environmental authorities and politicians may intervene and make informed decisions using real-time monitoring. Sensor nodes are strategically placed in rivers and lakes. Nodes with sensors monitor relevant environmental factors. Wirelessly transmitting data to a centralized data processing platform aggregates, analyzes, and visualizes it for simple interpretation. It also highlights this approach's capacity to give a complete perspective on ecosystem processes and trends. It also examines sensor accuracy, data transfer reliability, and system maintenance issues related to such a system. Real-time data monitoring and responding to environmental changes may help preserve aquatic ecosystems and maintain water supplies.
Veda et al. (Fri,) studied this question.