AI-driven groundwater mapping: systematic review and implications for practical uptake
Pedro Martinez-Santos, V. Gómez-Escalonilla, M. Rodríguez del Rosario, S. Díaz-Alcaide et autres
Recent advances in artificial intelligence and machine learning have transformed groundwater mapping by enabling data-driven integration of heterogeneous geospatial, environmental, and hydrogeological information. This paper provides a critical review of AI-based groundwater mapping, synthesizing more than 200 peer-reviewed studies published between 2009 …
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Applied Water Science