Prediction of irrigation water quality indices based on machine learning and regression models

Prediction of irrigation water quality indices based on machine learning and regression models

Abstract Assessing irrigation water quality is one of the most critical challenges in improving water resource management strategies. The objective of this work was to predict the irrigation water quality index of the Bahr El-Baqr, Egypt, based on non-expensive approaches that requires simple parame...

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Bibliographic Details
Main Authors: Ali Mokhtar, Ahmed Elbeltagi, Yeboah Gyasi-Agyei, Nadhir Al-Ansari, Mohamed K. Abdel-Fattah
Format: Article
Language:English
Published: SpringerOpen 2022-03-01
Series:Applied Water Science
Subjects:
Irrigation water quality index
Machine learning
Support vector machine
Stepwise regression
Bahr El-Baqr drain
Online Access:https://doi.org/10.1007/s13201-022-01590-x

Internet

https://doi.org/10.1007/s13201-022-01590-x

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