Variable Selection on Reflectance NIR Spectra for the Prediction of TSS in Intact Berries of Thompson Seedless Grapes

Variable Selection on Reflectance NIR Spectra for the Prediction of TSS in Intact Berries of Thompson Seedless Grapes

Fourier-transform near infrared (FT-NIR) reflection spectra of intact berries of the grape variety Thompson seedless were used to predict total soluble solids (TSS) content. From an initial dataset, 12 subsets were considered by applying variable selection to extract the reflectance values at wavenu...

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Bibliographic Details
Main Authors: Chrysanthi Chariskou, Eleni Vrochidou, Andries J. Daniels, Vassilis G. Kaburlasos
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Agronomy
Subjects:
maturity
grape ripeness prediction
total soluble solids (TSS)
variable selection
multiple linear regression (MLR)
partial least squares (PLS)
Online Access:https://www.mdpi.com/2073-4395/12/9/2113

Internet

https://www.mdpi.com/2073-4395/12/9/2113

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