Paper Title
WATER QUALITY MONITORING SYSTEM
Article Identifiers
Authors
Kalpesh Deore
Keywords
Water quality monitoring, Data science techniques, Comprehensive dataset, R programming language, Public health, Environmental sustainability, Robust monitoring system.
Abstract
This research study offers a unique method for monitoring water quality by combining data science approaches with the use of an extensive dataset, with a primary focus on the application of the R programming language. The study addresses the increasing demand for efficient, data-driven methods to monitor and manage water quality, given its critical importance for public health and environmental sustainability. The study looks at creating a reliable water quality monitoring system that makes use of big datasets that include several water quality metrics and geographic data.. R language is employed for data processing, analysis, and visualization, enabling advanced statistical modeling and predictive analytics. The findings of this study offer insights into the potential of data science-driven solutions in enhancing water quality monitoring, thus contributing to more effective decision-making for policymakers, environmentalists, and the general public. The research underscores the significance of this innovative approach in facilitating real-time water quality assessment and ensuring the well-being of ecosystems and human populations.
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How To Cite (APA)
Kalpesh Deore (May-2024). WATER QUALITY MONITORING SYSTEM. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(5), e720-e724. https://ijnrd.org/papers/IJNRD2405477.pdf
Issue
Volume 9 Issue 5, May-2024
Pages : e720-e724
Other Publication Details
Paper Reg. ID: IJNRD_219341
Published Paper Id: IJNRD2405477
Downloads: 000121981
Research Area: Science & Technology
Country: Pune, Maharashtra, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2405477.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405477
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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Licence
This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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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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