A novel integrated approach to predict the sodium absorption ratio (SAR) of groundwater sustainability using deep learning models and SHAP approach

A novel integrated approach to predict the sodium absorption ratio (SAR) of groundwater sustainability using deep learning models and SHAP approach

Abstract Agriculture is a crucial factor in improving the country economic growth. With the massive impact of environment variation, supplying and measuring the quality of water for irrigation usage is a crucial task for water resource management authority. The demand for good quality water for both...

Full description

Saved in:
Bibliographic Details
Main Authors: Kanak N. Moharir, Chaitanya Baliram Pande, Rabin Chakrabortty, Malay Pramanik, Balamurugan Paneerselvam, Okan Mert Katipoğlu, Subodh Chandra Pal, Miklas Scholz, Krishna Kumar Yadav, Lamjed Mansour, Mohamed Elsahabi
Format: Article
Language:English
Published: SpringerOpen 2025-06-01
Series:Applied Water Science
Subjects:
Irrigation water quality assessment
SAR
Machine and deep learning
Sustainable Water
Online Access:https://doi.org/10.1007/s13201-025-02521-2
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1007/s13201-025-02521-2

Similar Items