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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM41963

IOT Water Pollution Monitoring RC Boat

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM41963

Volume:

9 |

2 |

Feb 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/ijsrem41963

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Abstract

– 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.

KEYWORDS

IoT Water Pollution Remote – Controlled Boat Real-Time Monitoring Sensor- Based Analysis Environmental Sustainability

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Publication Date

3/1/2025

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Review Rounds: 2

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