SHAP-Interpreted Machine Learning for Irrigation Groundwater Quality Prediction in the Saïss Basin, Morocco

Machine Learning-Based Groundwater Level Forecasting in a Semi-Arid Agricultural Area: Insights from SHAP, PELT, and Mann–Kendall Analyses in the Saïss Basin, Morocco

This study proposes an innovative framework that combines hydroclimatic and agro-environmental predi

Exploring Machine Learning Models in Predicting Irrigation Groundwater Quality Indices for Effective Decision Making in Medjerda River Basin, Tunisia

Over the last years, the global application of machine learning (ML) models in groundwater quality s

<scp>PSO</scp> ‐Optimized Ensemble Learning with <scp>SHAP</scp> for Seasonal Groundwater Quality Prediction

Abstract Groundwater is the principal source of freshwater

Coupling support vector machine and the irrigation water quality index to assess groundwater quality suitability for irrigation practices in the Tana sub-basin, Ethiopia

Abstract Long-term and sustainable agricultural practices can be achieved through monitoring and ev

Groundwater Level Prediction with Machine Learning to Support Sustainable Irrigation in Water Scarcity Regions

In water scarcity regions, using data-driven approaches to predict groundwater level is challenging

Application of machine learning techniques to predict groundwater quality in the Nabogo Basin, Northern Ghana