ISSN2320-2882
Impact Factor9.17
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ESTD2013
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Paper Title
IoT-Based Intelligent Water Quality Monitoring and Automated Purification Using Machine Learning
Authors
Vijayendra Rane , Suraj Pawar , Pranit Rindhe , Kishor S.Wagh , Bhavana Zambare
Keywords
Machine Learning, Predictive Modeling, Water Quality Prediction, Random Forest, IoT-based Monitoring
Abstract
The need for continuous and uninterrupted availability of pure and clean water entails quick monitoring of water quality degradation and immediate remediation of the quality. This paper proposes a smart system for monitoring and purifying the quality of water by incorporating the Internet of Things (IoT) and machine learning techniques. An ESP32 microcontroller-based smart water quality monitoring system, facilitated by low-cost pH, turbidity, and total dissolved solids sensors, is implemented for acquiring real-time water quality information. The acquired information can be remotely monitored by the cloud platform. A machine learning model is incorporated and trained with the acquired data for classifying the water quality and predicting the water quality in advance. According to the result of the machine learning prediction model, a water purification system can be remotely implemented through a relay. The results of the experimental evaluation of the smart water quality monitoring and purification system, implemented with the real-time results of the sensors, show a high accuracy of 92.4 percent. This indicates the reliability of implementing the proposed water quality monitoring and purification system.
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IJCRT — journal style
"IoT-Based Intelligent Water Quality Monitoring and Automated Purification Using Machine Learning", IJCRT - International Journal of Creative Research Thoughts (www.ijcrt.org), ISSN:2320-2882, Vol.14, Issue 4, page no.c287-c292, April 2026, Available :https://ijcrt.org/papers/IJCRT2604273.pdf
APA — 7th edition
Rane, V., Pawar, S., Rindhe, P., S.Wagh, K., & Zambare, B. (2026). IoT-Based Intelligent Water Quality Monitoring and Automated Purification Using Machine Learning. International Journal of Creative Research Thoughts, 14(4), c287-c292. https://doi.org/10.56975/ijcrt.v14i4.305046
MLA — 9th edition
Rane, Vijayendra, et al. "IoT-Based Intelligent Water Quality Monitoring and Automated Purification Using Machine Learning." International Journal of Creative Research Thoughts, vol. 14, no. 4, 2026, pp. c287-c292, https://doi.org/10.56975/ijcrt.v14i4.305046.
Chicago — 17th, bibliography
Rane, Vijayendra, et al. "IoT-Based Intelligent Water Quality Monitoring and Automated Purification Using Machine Learning." International Journal of Creative Research Thoughts 14, no. 4 (2026): c287-c292. https://doi.org/10.56975/ijcrt.v14i4.305046.
Harvard — author–date
Rane, V. et al. (2026) 'IoT-Based Intelligent Water Quality Monitoring and Automated Purification Using Machine Learning', International Journal of Creative Research Thoughts, 14(4), pp. c287-c292. Available at: https://doi.org/10.56975/ijcrt.v14i4.305046
IEEE — numbered reference
V. Rane, S. Pawar, P. Rindhe, K. S.Wagh and B. Zambare, "IoT-Based Intelligent Water Quality Monitoring and Automated Purification Using Machine Learning," IJCRT, vol. 14, no. 4, pp. c287-c292, Apr. 2026, doi: 10.56975/ijcrt.v14i4.305046.
Vancouver — biomedical
Rane V, Pawar S, Rindhe P, S.Wagh K, Zambare B. IoT-Based Intelligent Water Quality Monitoring and Automated Purification Using Machine Learning. IJCRT. 2026 Apr;14(4):c287-c292. doi: 10.56975/ijcrt.v14i4.305046
AMA — 11th edition
Rane V, Pawar S, Rindhe P, S.Wagh K, Zambare B. IoT-Based Intelligent Water Quality Monitoring and Automated Purification Using Machine Learning. IJCRT. 2026;14(4):c287-c292. doi:10.56975/ijcrt.v14i4.305046
BibTeX — Zotero, Mendeley, LaTeX
@article{IJCRT2604273,
author = {Vijayendra Rane and Suraj Pawar and Pranit Rindhe and Kishor S.Wagh and Bhavana Zambare},
title = {IoT-Based Intelligent Water Quality Monitoring and Automated Purification Using Machine Learning},
journal = {International Journal of Creative Research Thoughts},
volume = {14},
number = {4},
pages = {c287-c292},
year = {2026},
month = {April},
issn = {2320-2882},
doi = {10.56975/ijcrt.v14i4.305046},
url = {https://doi.org/10.56975/ijcrt.v14i4.305046}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - Rane, Vijayendra
AU - Pawar, Suraj
AU - Rindhe, Pranit
AU - S.Wagh, Kishor
AU - Zambare, Bhavana
TI - IoT-Based Intelligent Water Quality Monitoring and Automated Purification Using Machine Learning
T2 - International Journal of Creative Research Thoughts
JA - IJCRT
VL - 14
IS - 4
PY - 2026
SN - 2320-2882
DO - 10.56975/ijcrt.v14i4.305046
UR - https://doi.org/10.56975/ijcrt.v14i4.305046
SP - c287-c292
ER -
Issue
Volume 14 Issue 4,
April-2026
Pages : c287-c292
Article Information
- Pages
- c287-c292
- Published
- April 2026
- Registration ID
- IJCRT_305046
- Published Paper ID
- IJCRT2604273
- Research Area
- Science and Technology
- Author Type
- Indian Author
- Location
- Pune, Maharastra, India
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- Request Peer Review Report
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- ISSN & Impact Factor
- 2320-2882 · IF 9.17
- Downloads
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- Published Paper PDF
- https://ijcrt.org/papers/IJCRT2604273.pdf
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International Journal of Creative Research Thoughts
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