Estimation of soil organic carbon content by Vis-NIR spectroscopy combining feature selection algorithm and local regression method
ABSTRACT Soil organic carbon (SOC) content is a critical parameter for evaluating soil health. However, high redundancy and invalid information in soil hyperspectral data can reduce the accuracy and stability of SOC prediction models. This study developed a global partial least squares regression (P...
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| Published in: | Revista Brasileira de Ciência do Solo Vol. 47 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Sociedade Brasileira de Ciência do Solo
01.01.2023
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| Subjects: | |
| ISSN: | 1806-9657 |
| Online Access: | Get full text |
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