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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| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2024-11-01
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| Series: | Discover Water |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s43832-024-00109-6 |
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