HIGHLIGHTS
- who: Aissam Gaagai and colleagues from the Environmental Research Center (CRE), Badji Mokhtar University, Department of Civil Engineering, National Institute of Technology Durgapur, Durgapur, India have published the research work: Application of Water Quality Indices, Machine Learning Approaches, and GIS to Identify Groundwater Quality for Irrigation Purposes: A Case Study of Sahara Aquifer, Doucen Plain, Algeria, in the Journal: (JOURNAL)
- what: To evaluate and project the quality of groundwater utilized for irrigation in the Sahara in this research employed irrigation quality indices (IWQIs) artificial neural network (ANN) models and Gradient Boosting Regression (GBR) alongside multivariate . . .
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