IOT Water Pollution Monitoring RC Boat

Water pollution has emerged as a critical environmental issue, posing serious threats to aquatic ecosystems, human health, and economic stability. The presence of pollutants in water sources affects biodiversity, contributes to the spread of waterborne diseases, and disrupts industrial and agricultural operations. Traditional water quality monitoring methods rely on manual sampling and laboratory analysis, which are time-consuming, labor- intensive, and often ineffective in providing real-time insights. This paper presents a cutting-edge Internet of Things (IoT)-enabled remote-controlled (RC) boat system, specifically designed to facilitate real-time water pollution monitoring. The proposed system integrates an ESP32 microcontroller with a suite of water quality sensors, including pH, turbidity, total dissolved solids (TDS), dissolved oxygen (DO), and temperature sensors. A GPS module is incorporated to provide precise location tracking, allowing for efficient mapping of pollution hotspots. Additionally, an ESP32 CAM module is used to offer live visual monitoring of water conditions. Data collected by the boat is transmitted wirelessly to a cloud- based platform, ensuring remote access and continuous monitoring. The system aims to provide a cost-effective, scalable, and autonomous solution for large-scale environmental monitoring, improving the efficiency of pollution detection and mitigation strategies. This paper elaborates on the complete design, implementation, performance analysis, and potential applications of this innovative water monitoring system. Key Words: IoT, Water Pollution , Remote - Controlled Boat, Real-Time Monitoring , Sensor- Based Analysis, Environmental Sustainability,