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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM46783

Smart Remote Control for Water Pollution Monitoring

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM46783

Volume:

9 |

5 |

May 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM46783

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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Authors

SG

Sahil Gajbhiye*1

SD

Sanjay Dangre*2

LG

Lokesh Ghate*3

RK

Rushab Khadse*4

DJ

DR.A.B. Jiapure*

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Abstract

Water pollution is a serious environmental issue which is mainly caused by industrial waste, harmful chemicals, and other contaminants. The good quality of water is essential for the survival of plants, animals, and humans. Traditional water quality monitoring methods involve manual sample collection and laboratory analysis, which are time- consuming and inefficient. To overcome these limitations, we propose an IoT-based water quality monitoring system for real-time assessment of water bodies. The proposed system measures various parameters like pH, turbidity, temperature, and humidity using sensors and determines whether the quality of water is good or polluted. It also provides recommendations on suitable aquatic flora and fauna based on the recorded values. The sensors are mounted on a self- navigating boat, which moves over the water surface to collect real-time data. A propeller system enables forward motion, while a servo motor mechanism allows directional control via a joystick-controlled mobile application.

KEYWORDS

Arduino Nano pH turbidity temperature humidity flora fauna Adafruit.

Cite This Article

Sahil Gajbhiye*1, Sanjay Dangre*2, Lokesh Ghate*3, Rushab Khadse*4, DR.A.B. Jiapure*, "Smart Remote Control for Water Pollution Monitoring," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 5, May 2025. https://doi.org/10.55041/IJSREM46783

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Publication Date

3/4/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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0

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2

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5

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Conflict of Interest

The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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