Findings from Hassiba Benbouali University of Chlef Broaden Understanding of Sustainable Food and Agriculture (Harnessing Explainable AI for Sustainable Agriculture: SHAP-Based Feature Selection in Multi-Model Evaluation of Irrigation Water...).

Researchers at Hassiba Benbouali University of Chlef conducted a study on sustainable agriculture, focusing on the classification of Irrigation Water Quality Index (IWQI) using deep learning models. The study found that the CNN-BiLSTM model outperformed others, achieving high accuracy and area under the curve (AUC) values. The research highlights the importance of sodium levels in water quality predictions and suggests ways to enhance model performance for effective water quality management in agriculture. [Extracted from the article]