Open AccessAnalysis of Water Quality using Supervised Machine Learning Classifiers
Author(s) -
D. C. Paliwal,
Aditya Maheshwari,
Yogendra Singh Solanki,
Prąsun Chakrabarti
Publication year - 2020
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.c1001.0393s20
Subject(s) - turbidity , water quality , machine learning , artificial intelligence , computer science , quality (philosophy) , supervised learning , pattern recognition (psychology) , artificial neural network , geology , ecology , philosophy , oceanography , epistemology , biology
The paper points out analysis of water with the use of supervised machine learning classifiers. The parameters include turbidity, ph level, water level, temperature and dissolved oxygen. Curve fitting has also been applied in order to analyze the water quality.