Can a history of crop rotations improve the prediction of soil organic carbon in the Andes? Integrating machine learning multi-annual crop classification as a proxy of soil management
Soil organic carbon (SOC) is a crucial component related to various processes that ensure soil health and function. Its modeling is vital for assessing and monitoring soil degradation caused by the potential impact of agricultural activities. This study aimed to model SOC in the Northern highlands o...
| Main Authors: | , , , , , , , , , |
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| Format: | Preprint |
| Language: | Inglés |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/178773 |
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