Detection of nonlinearity in soil property prediction models based on near-infrared spectroscopy

Yan, Lu; Escobar, Matheus S.; Kaneko, Hiromasa; Funatsu, Kimito

doi:10.1016/j.chemolab.2017.04.001

Chemometrics and Intelligent Laboratory Systems

2017

DOI: 10.1016/j.chemolab.2017.04.001

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Detection of nonlinearity in soil property prediction models based on near-infrared spectroscopy

Lu Yan

Matheus S. Escobar

Hiromasa Kaneko

et al.

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Cited by 10 publications

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Detection of nonlinearity in soil property prediction models based on near-infrared spectroscopy

Cited by 10 publications

References 24 publications

The prediction of crystal densities of a big data set using 1D and 2D structure features

The prediction of crystal densities of a big data set using 1D and 2D structure features

A novel multivariate calibration method based on variable adaptive boosting partial least squares algorithm

Using interpretable fuzzy rule-based models for the estimation of soil organic carbon from VNIR/SWIR spectra and soil texture

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