Artificial intelligence for groundwater recharge prediction in an arid region: application of tabular deep learning models in the Feija Basin, Morocco

IntroductionGroundwater recharge mapping is crucial for sustainable water resource management in arid and semi-arid regions, particularly in hydro-climatically stressed areas such as the Feija Basin in southeastern Morocco. Characterized by shallow aquifers, irregular rainfall, and over-extraction f...

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Bibliographic Details

Published in:	Frontiers in Remote Sensing
Main Authors:	Abdessamad Elmotawakkil, Adil Moumane, Assia Zahi, Abdelkhalik Sadiki, Jamal Al Karkouri, Mouhcine Batchi, Suraj Kumar Bhagat, Tiyasha Tiyasha, Nourddine Enneya
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2025-09-01
Subjects:	machine learning groundwater research arid region TabNet Morocco
Online Access:	https://www.frontiersin.org/articles/10.3389/frsen.2025.1622360/full