Smart Water Quality Surveillance System Using Iot-Based Remote-Controlled Boat

Article Sidebar

Main Article Content

Anand S. Sawai
Shreyash P. Gawande
Abhishek N. Dhale
Hassan Areeb Khan
L. S. Kalkonde

Water pollution has become a major environmental concern due to rapid industrialization, urbanization, and agricultural activities. Traditional water quality monitoring methods are time-consuming and lack real-time capabilities. This paper presents an IoT-based smart water quality surveillance system using a remotely controlled boat integrated with sensors and wireless communication. The system utilizes an ESP32 microcontroller to measure parameters such as pH, turbidity, total dissolved solids (TDS), and temperature. The collected data is transmitted in real time to the Blynk IoT platform for remote monitoring and analysis. The boat can be navigated using a mobile application, enabling monitoring in remote and hazardous locations. The proposed system provides a cost-effective, efficient, and scalable solution for continuous water quality monitoring and environmental protection.

Smart Water Quality Surveillance System Using Iot-Based Remote-Controlled Boat. (2026). International Journal of Latest Technology in Engineering Management & Applied Science, 15(5), 829-835. https://doi.org/10.51583/IJLTEMAS.2026.150500069

Downloads

References

V. Lakshmikantha, N. N. Mohanty and S. S. Patra, "IoT based smart water quality monitoring system," Cleaner Engineering and Technology, vol. 4, p. 100090, 2021. https://doi.org/10.1016/j.clet.2021.100090

M. S. M. Aslam and H. Hassan, "Water Monitoring System Using Remote-Control Boat," Progress in Engineering Application and Technology, vol. 6, no. 2, pp. 132-140, 2025. https://doi.org/10.30880/peat.2025.06.02.015

A. Shukla et al., "Autonomous water sampling and quality monitoring in remote locations: A novel approach using a remote-controlled boat." HardwareX, vol. 22, e00634, 2025.https://doi.org/10.1016/j.ohx.2025.e00634

A. P. Adake and M. Dixit, “Water Quality Monitoring System using RC Boat with Wireless Sensor Network,” International Journal for Research in Applied Science & Engineering Technology (IJRASET), vol. 7, no. IV, Apr. 2019. https://doi.org/10.22214/ijraset.2019.4332

Atharv L. Metkari et al., “IoT Based Water Pollution Monitoring RC Boat,” International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2024. https://doi.org/10.22214/ijraset.2024.62135

Pallavi V. Kukade et al., “IoT Based Water Pollution Monitoring RC Boat,” International Journal of Advanced Research in Science, Communication and Technology (IJARSCT), 2025. https://doi.org/10.48175/IJARSCT-25307

V. L. Dsouza et al., “Remotely controlled boat for water quality monitoring and sampling,” Materials Today: Proceedings, vol. 47, Part 10, pp. 2391–2400, 2021. https://doi.org/10.1016/j.matpr.2021.04.354

S. Singh and M. Nour, “IoT-Enabled Water Pollution Monitoring Remote Controlled Boat with a Debris Collection system in Aquatic Environments,” in 2024 IEEE Student Conference on Research and Development (SCOReD), 2025, pp. 716-721.https://doi.org/10.1109/SCoRED64708.2024.10872740

A. Prabhakara Rao et al., “Water Quality Monitoring Using Remote Control Boat,” in Cognitive Computing and Cyber Physical Systems, Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, Springer, 2023, pp. 201–212. https://doi.org/10.1007/978-3-031-28975-0_17

J. H. Ryu et al., “Prototyping a low-cost open-source autonomous unmanned surface vehicle for real-time water quality monitoring and visualization,” HardwareX, vol. 12, e00333, 2022. https://doi.org/10.1016/j.ohx.2022.e00333

Article Details

How to Cite

Smart Water Quality Surveillance System Using Iot-Based Remote-Controlled Boat. (2026). International Journal of Latest Technology in Engineering Management & Applied Science, 15(5), 829-835. https://doi.org/10.51583/IJLTEMAS.2026.150500069