Machine learning- based gridded soil mapping for Kapiti research station and wildlife conservancy, Kenya
Digital Soil Mapping (DSM) enhances digital twin models by supplying detailed, spatially explicit soil data crucial for accurate virtual representations. With high-resolution maps of soil properties (e.g., texture, moisture, organic matter), DSM allows twins to simulate soil processes precisely and...
| Main Authors: | , , , , , , , , , |
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| Format: | Brief |
| Language: | Inglés |
| Published: |
International Livestock Research Institute
2024
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/159654 |
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