Machine learning approach to predict the turbidity of Saki Lake, Telangana, India, using remote sensing data

Water quality is crucial for all life forms, yet water pollution is escalating. Monitoring water quality is essential to combat this challenge. This study introduces a precise and efficient approach to predict water turbidity levels using linear regression models and machine learning algorithms such...

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Bibliografiska uppgifter

Huvudupphov:	P. Durga Devi, G. Mamatha
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	Elsevier 2024-06-01
Serie:	Measurement: Sensors
Ämnen:	Turbidity levels Saki lake Water quality Machine learning algorithms Decision tree regression hyperparameter tuning
Länkar:	http://www.sciencedirect.com/science/article/pii/S2665917424001156
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