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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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Principais autores: P. Durga Devi, G. Mamatha
Format: Artigo
Sprog:Inglês
Udgivet: Elsevier 2024-06-01
Serier:Measurement: Sensors
Fag:
Turbidity levels
Saki lake
Water quality
Machine learning algorithms
Decision tree regression
hyperparameter tuning
Online adgang:http://www.sciencedirect.com/science/article/pii/S2665917424001156
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