Review of machine learning algorithms used in groundwater availability studies in Africa: analysis of geological and climate input variables

Abstract Groundwater is crucial for Africa’s potable water supply, agriculture, and economic development. However, the continent faces challenges with groundwater scarcity due to factors like population growth, climate change, and over-exploitation. Over the past ten years, machine learning has been...

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Ngā taipitopito rārangi puna kōrero

Ngā kaituhi matua:	Haoulata Touré, Cyril D. Boateng, Solomon S. R. Gidigasu, David D. Wemegah, Vera Mensah, Jeffrey N. A. Aryee, Marian A. Osei, Jesse Gilbert, Samuel K. Afful
Hōputu:	Artigo
Reo:	Inglês
I whakaputaina:	Springer 2024-11-01
Rangatū:	Discover Water
Ngā marau:	Groundwater level prediction Groundwater potential mapping Machine learning Africa
Urunga tuihono:	https://doi.org/10.1007/s43832-024-00109-6
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!