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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Sociedade Brasileira de Ciência do Solo
2023-12-01
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| Series: | Revista Brasileira de Ciência do Solo |
| Subjects: | |
| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832023000101600&lng=en&tlng=en |