Estimation of soil organic carbon content by Vis-NIR spectroscopy combining feature selection algorithm and local regression method
Baoyang Liu,
Baofeng Guo,
Renxiong Zhuo
et al.
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 (PLSR) model and a local PLSR model for agricultural soils in the LUCAS 2015 database. Some variable selection methods were combined with the regression models and their effects on prediction accuracy were explored. In additio… Show more
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