Chemometric pre-processing can negatively affect the performance of near-infrared spectroscopy models for fruit quality prediction

Mishra, Puneet; N. Rutledge, Douglas; Roger, Jean‐Michel; Wali, Khan; Ahmad Khan, Haris

doi:10.1016/j.talanta.2021.122303

Public

Chemometric pre-processing can negatively affect the performance of near-infrared spectroscopy models for fruit quality prediction

Published in Talanta • Mar 11, 2021

Authors:

Puneet Mishra

Douglas N. Rutledge

Jean‐Michel Roger

Abstract

Chemometrics pre-processing of spectral data is widely performed to enhance the predictive performance of near-infrared (NIR) models related to fresh fruit quality. Pre-processing approaches in the domain of NIR data analysis are used to remove the scattering effects, thus, enhancing the absorption ...

Subject

Partial least squares regression

Chemistry

Chemometrics

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