Engineering in Agriculture, Environment and Food
Online ISSN : 1881-8366
ISSN-L : 1881-8366
Coffee roasting degrees prediction in terms of weight loss with selected wavebands based on near-infrared spectroscopy
Jiajia Shan Tetsuhito SuzukiYuichi OgawaNaoshi Kondo
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2015 Volume 8 Issue 4 Pages 195-199

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Abstract
Waveband selection was investigated to improve a coffee roasting degrees model in terms of weight loss. Near infrared diffuse reflectance spectra were obtained from ground roasted coffee samples. Characteristic wavebands were determined by regression coefficients of optimal principle components (PCs) of a partial least square (PLS) regression model. After that, a multiple linear regression (MLR) model was developed based on the selected wavebands. For comparison, PLS models based on different preprocessing spectra were also established. The model results of PLS and MLR method were compared. The promising result of the MLR model (Rcv2 of 0.983 and RMSECV of 0.612) indicated that waveband selection could improve regression model performance and reduce complexity, compared to the PLS regression model.
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© 2015 Asian Agricultural and Biological Engineering Association
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