Influence of different pre-processing methods in predicting sugarcane quality from near-infrared (NIR) spectral data

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Influence of different pre-processing methods in predicting sugarcane quality from near-infrared (NIR) spectral data

The 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. The performanc...

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Bibliographic Details
Main Authors:	Mat Lazim, Siti Saripa Rabiah, Mat Nawi, Nazmi, Chen, Guangnan, Jensen, Troy, Md Rasli, Ahmad Muslim
Format:	Article
Language:	English
Published:	Faculty of Food Science and Technology, Universiti Putra Malaysia 2016
Online Access:	http://psasir.upm.edu.my/id/eprint/50542/ http://psasir.upm.edu.my/id/eprint/50542/1/%2833%29%20IFRJ-16411%20%20Nawi.pdf

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