Water Quality Prediction using AI and ML Algorithms

Published

06-06-2023

DOI:

https://doi.org/10.58414/SCIENTIFICTEMPER.2023.14.2.46

Keywords:

Water pollution, Quality parameters, Water Quality Index, AI & ML Algorithms

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Authors

  • B. Nivedetha Department of EEE, PSG College of Technology

Abstract

Expeditious growth in industrial amelioration to support the country’s expanding population and economy has contaminated our water resources like never before. Water pollution is one of the most alarming concerns for us today. Prediction of water quality has grown in popularity in the field of water environmental science. Data-driven strategies are becoming increasingly fascinating and beneficial as we extend our understanding of water means. Data mining, which can manage the complexity within the provided data, is a direct method for exploration.

How to Cite

Nivedetha, B. (2023). Water Quality Prediction using AI and ML Algorithms. The Scientific Temper, 14(02), 527–532. https://doi.org/10.58414/SCIENTIFICTEMPER.2023.14.2.46

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