A framework based on mechanistic modelling and machine learning for soil moisture estimation
Abstract Soil moisture has many important applications in subsurface water movement. Methods for measuring soil moisture are either destructive or require prior calibration. The aim of this study was to provide a framework for estimating soil water content with limited data (rainfall and evaporation...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-07-01
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| Series: | Discover Soil |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44378-025-00086-9 |
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