Classification of pH scale based on machine learning approaches
Computer Science and Engineering, Centurion University of Technology and Management, Odisha, India.
Review Article
World Journal of Advanced Research and Reviews, 2024, 21(01), 235–239
Publication history:
Received on 22 November 2023; revised on 01 January 2024; accepted on 03 January 2024
Abstract:
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. An optical method is used to measure the color change of pH 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. 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. The system under investigation is an intelligent image-based system that performs automatic paper-based colorimetric tests in real-time. This paper classifies the pH scale by using machine learning models.
Keywords:
Image processing; Feature Extraction; pH paper image data; Machine Learning; KNN; Decision Tree; Random Forest.
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Copyright © 2023 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0