Assessing feature importance for forecasting soil moisture in subarctic regions using gridded historical and forecasted climate data
Continuous monitoring of soil moisture (SM) is essential in precision agriculture for effective irrigation management. However, SM forecasting in subarctic environments remains relatively unexplored. In this study, we forecast SM at a 30-centimeter soil depth over a 7-day period using Random Forest...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-06-01
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| Series: | Geoderma |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0016706125001429 |
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