Modelling soil temperature at multiple depths in Saurashtra region (Junagadh) of Gujarat using machine learning and shapely approach
Abstract Forecasting soil temperature (ST) at multiple depths is crucial for understanding meteorological processes, enhancing agricultural resilience, and assessing ecological and environmental risks. Data driven model represents an alternative tool to the conventional measurement of ST e.g. soil t...
Kaydedildi:
| Asıl Yazarlar: | , , , , , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Springer
2025-08-01
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| Seri Bilgileri: | Discover Applied Sciences |
| Konular: | |
| Online Erişim: | https://doi.org/10.1007/s42452-025-07572-3 |
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