Paper Title

Revolutionizing Water Quality Monitoring: The Intersection of Machine Learning and IoT for Enhanced Detection

Article Identifiers

Registration ID: IJNRD_193269

Published ID: IJNRD2304668

DOI: Click Here to Get

Authors

Manasa Bedadha , Dr.Katta Sugamya , Anusha Bandaru , Charitha Gajarla

Keywords

Abstract

Water quality prediction is an important task in ensuring the safety and sustainability of water resources. With the increasing population and industrialization, the quality of water is becoming a major concern worldwide. Water quality prediction models have been developed to predict the concentration of pollutants in water bodies based on various factors such as temperature, pH, dissolved oxygen, and other chemical and physical parameters. These models use statistical and machine learning techniques to analyze historical data and forecast future water quality. The accuracy of water quality prediction models can be improved by incorporating real-time monitoring data, remote sensing data, and meteorological data. In this project Machine learning algorithms such as random forest and decision tree algorithms are used to find the potability. The use of pH, turbidity and TDS sensors help in real time sensing of data.In this project cloud plays a major role to collect and provide the data for analysis and prediction.

How To Cite (APA)

Manasa Bedadha, Dr.Katta Sugamya, Anusha Bandaru, & Charitha Gajarla (April-2023). Revolutionizing Water Quality Monitoring: The Intersection of Machine Learning and IoT for Enhanced Detection. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(4), g494-g498. https://ijnrd.org/papers/IJNRD2304668.pdf

Issue

Volume 8 Issue 4, April-2023

Pages : g494-g498

Other Publication Details

Paper Reg. ID: IJNRD_193269

Published Paper Id: IJNRD2304668

Downloads: 000121983

Research Area: Information Technology 

Country: Hyderabad, Telangana, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2304668.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2304668

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

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Call For Paper

Call For Paper - Volume 10 | Issue 10 | October 2025

IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.

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Important Dates for Current issue

Paper Submission Open For: October 2025

Current Issue: Volume 10 | Issue 10 | October 2025

Impact Factor: 8.76

Last Date for Paper Submission: Till 31-Oct-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

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