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eISSN: 2581-9615 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in April 2026 (Volume 30, Issue 1) Submit manuscript

pH scale recognition by RGB color using machine learning models: A review

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  • pH scale recognition by RGB color using machine learning models: A review

Sasmita Kumari Nayak *

Computer Science and Engineering, Centurion University of Technology and Management, Odisha, India.
 
Review Article
World Journal of Advanced Research and Reviews, 2024, 21(01), 231-234
Article DOI: 10.30574/wjarr.2024.21.1.0013
DOI url: https://doi.org/10.30574/wjarr.2024.21.1.0013
 
Received on 22 November 2023; revised on 01 January 2024; accepted on 03 January 2024
 
This paper uses an optical method to measure the color change of pH paper in accordance with pH. All the time it measures by using traditional manual method. Our goal in this study was to gather objective data by using Red, Green, and Blue values to represent the pH change of the paper. In order to support the claim and provide evidence, this paper will specifically explore the parameters of an intelligent colorimetric test that satisfies the ASSURED standards. This paper provides a demonstration of the idea for a microfluidic, which is based on dry chemicals, stable, and semi-quantitative assay using a larger dataset with a variety of conditions. The system under investigation is an intelligent image-based system that performs automatic paper-based colorimetric tests in real-time. This paper explores the recognition and investigation of pH scale in great detail.
 
Image processing; pH paper image data; Machine Learning; Deep Learning.
 
https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2024-0013.pdf

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Sasmita Kumari Nayak. pH scale recognition by RGB color using machine learning models: A review. World Journal of Advanced Research and Reviews, 2024, 21(1), 231-234. Article DOI: https://doi.org/10.30574/wjarr.2024.21.1.0013

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