IOT-Based Water Pollution Detection Boat with Real-Time Monitoring

Authors

  • Dr. Pushparani M K UG Student, Dept. of CSD, Alva’s Institute of Engineering and Technology, Moodabidiri, Karnataka, India. Author
  • Sharavari M S UG Student, Dept. of CSD, Alva’s Institute of Engineering and Technology, Moodabidiri, Karnataka, India. Author
  • Nayana S M UG Student, Dept. of CSD, Alva’s Institute of Engineering and Technology, Moodabidiri, Karnataka, India. Author
  • Likhith L UG Student, Dept. of CSD, Alva’s Institute of Engineering and Technology, Moodabidiri, Karnataka, India. Author
  • Manoj M UG Student, Dept. of CSD, Alva’s Institute of Engineering and Technology, Moodabidiri, Karnataka, India. Author

DOI:

https://doi.org/10.47392/IRJAEH.2025.0100

Keywords:

Water pollution monitoring, IoT-based water quality assessment, real-time data transmission, Blynk, environmental conservation

Abstract

Sustainable development, public health, and aquatic ecosystems are all seriously threatened by water pollution. Conventional monitoring techniques are frequently time-consuming, sedentary, and unable to offer real-time data from inaccessible or remote locations. The creation of an affordable, remote-controlled water pollution detecting boat with necessary sensors and a live data transmission system is shown in this study. The boat can sail on its own or with a remote control, gathering data on temperature, turbidity, and pH in real time [3], [15]. A web-based interface receives the gathered data, allowing for remote monitoring and analysis. For environmental organizations, researchers, and conservationists, the system offers a scalable, independent solution that makes water quality testing more effective and approachable. By automating data collection and enabling real-time access to water quality parameters, this project addresses critical environmental challenges related to pollution detection and resource management.

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Published

2025-03-22

How to Cite

IOT-Based Water Pollution Detection Boat with Real-Time Monitoring. (2025). International Research Journal on Advanced Engineering Hub (IRJAEH), 3(03), 715-723. https://doi.org/10.47392/IRJAEH.2025.0100

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