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Influence of different pre-processing methods in ...

All Rights Reserved*Corresponding author. Email: Food Research Journal 23(Suppl): S231-S236 (December 2016)Journal homepage: , S. S. R. M., 1*Nawi, N. M., 2 Chen, G., 2 Jensen, T. and 1 Rasli, A. M. of Biological and Agricultural Engineering, Faculty of Engineering, Universiti Putra Malaysia, 43400 Selangor, Malaysia2 Faculty of Health, Engineering and Sciences, University of Southern Queensland, Toowoomba, QLD 4350, AustraliaInfluence of different pre-processing methods in predicting sugarcane quality from near-infrared (NIR) spectral dataAbstractThe Influence of different data pre-processing methods (smoothing by moving average (MA), multiplicative scatter correction (MSC), Savitzky-Golay (SG), standard normal variate (SNV) and mean normalization (MN) on the prediction of sugar content from sugarcane samples was investigated.)

Laim et al IFR 23Suppl: S231-S236 S233 of the spectrum at a certain wavelength. Typically, variances of all wavelengths are standardized to one, which results in an equal influence of the variables

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