Ensemble Modeling on Near-Infrared Spectra as Rapid Tool for Assessment of Soil Health Indicators for Sustainable Food Production Systems
A novel total ensemble (TE) algorithm was developed and compared with random forest optimization (RFO), gradient boosted machines (GBM), partial least squares (PLS), Cubist and Bayesian additive regression tree (BART) algorithms to predict numerous soil health indicators in soils with diverse climat...
| Autores principales: | , , , , , |
|---|---|
| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
MDPI
2021
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/116303 |
Ejemplares similares: Ensemble Modeling on Near-Infrared Spectra as Rapid Tool for Assessment of Soil Health Indicators for Sustainable Food Production Systems
- Near-infrared spectra for the AfSIS Sentinel Sites in Tanzania
- Measuring Soil Quality Indicators under Different Climate-Smart Land Uses across East African Climate-Smart Villages
- An algorithm for rapid flood inundation mapping from optical data using reflectance differencing technique [Abstract only].
- ET-Network Regional Training Workshop Tunis, December 6-9, 2019
- Algorithmic differentiation of linear mixed models with variance-covariance structures
- Soil Carbon Sequestration Potential of Climate-Smart Villages in East African Countries