Mapping soil properties of Africa at 250 m resolution: random forests significantly improve current predictions
80% of arable land in Africa has low soil fertility and suffers from physical soil problems. Additionally, significant amounts of nutrients are lost every year due to unsustainable soil management practices. This is partially the result of insufficient use of soil management knowledge. To help bridg...
| Main Authors: | , , , , , , , , , , |
|---|---|
| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Public Library of Science
2015
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/68703 |
Similar Items: Mapping soil properties of Africa at 250 m resolution: random forests significantly improve current predictions
- Multivariate mapping of soil with structural equation modelling
- Mapping the soils of an Argentine Pampas region using structural equation modeling
- Soil nutrient maps of Sub-Saharan Africa: assessment of soil nutrient content at 250 m spatial resolution using machine learning
- Soil degradation in sub-Saharan Africa and crop production options for soil rehabilitation
- Soil health in Southern Africa and implications on sustainable intensification: how much is the gap?
- Extrapolation of a structural equation model for digital soil mapping