Paper Title

Water Quality Prediction For Agriculture

Article Identifiers

Registration ID: IJNRD_188593

Published ID: IJNRD2303271

DOI: Click Here to Get

Authors

G.Siva Prakash , A.Rakesh , A.Gowri supramanian , Dr.R.Arthy

Keywords

Parameter, Accuracy, Heatmap Generation, Time series analysis,Prediction.

Abstract

Water is one of the most essential element for the existence of life. The safety and accessibility of drinking-water are major concerns throughout the globe. Health risks may arise from consumption of water contaminated with infectious agents, toxic chemicals etc. In this paper a system is proposed to check the water quality and warn the user before water gets contaminated .There are different parameters that can contaminate the water. These parameters are taken into account and used for predicting when to clean the water. The system uses technologies such as IoT and Machine Learning. It consist of the physical and chemical sensor to measure pH, turbidity ,colour, DO, conductivity etc. to check the parameters .The data obtained from the sensors are recorded in the database and further sent for analysis. The neural network algorithm is used for predicting the result. It is used to obtain non-linear relationship for predicted output. The system sends the alert message to user when any of the parameters are lower than the standard values. This helps the user to know beforehand about the contamination of water in their residential tanks. This technique can not only be limited up to residential tanks but can also be used in water treatment plants and industries.

How To Cite (APA)

G.Siva Prakash, A.Rakesh, A.Gowri supramanian, & Dr.R.Arthy (March-2023). Water Quality Prediction For Agriculture. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(3), c633-c637. https://ijnrd.org/papers/IJNRD2303271.pdf

Issue

Volume 8 Issue 3, March-2023

Pages : c633-c637

Other Publication Details

Paper Reg. ID: IJNRD_188593

Published Paper Id: IJNRD2303271

Downloads: 000121985

Research Area: Engineering

Country: Madurai, TamilNadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2303271.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2303271

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

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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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