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

Lazim, S. S. R. M. and Nawi, N. M. and Chen, G. and Jensen, T. and Rasli, A. M. M. (2016) Influence of different pre-processing methods in predicting sugarcane quality from near-infrared (NIR) spectral data. International Food Research Journal, 23(Suppl). S231-S236. ISSN 1985-4668


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 performance of these pre-processing methods was evaluated using spectral data collected from 292 sugarcane internode samples using a visible-shortwave near infrared spectroradiometer (VNIRS). Partial least square (PLS) method was applied to develop both calibration and prediction models for the samples. If no pre-processing method was applied, the coefficient of determination (R2) values for both reflectance and absorbance data were 0.81 and 0.86 respectively. The highest prediction accuracy values were obtained when the data was treated with MSC method, where the R2 values for reflectance and absorbance being 0.85 and 0.87, respectively. From this study, it was concluded that pre-processing can improve the model performances where MSC method was found to give the highest prediction accuracy value.

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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Files associated with this item cannot be displayed due to copyright restrictions.
Faculty / Department / School: Current - Faculty of Health, Engineering and Sciences - School of Civil Engineering and Surveying
Date Deposited: 02 Mar 2017 02:00
Last Modified: 02 Mar 2017 04:15
Uncontrolled Keywords: pre-processing; sugarcane; spectral data; chemometric; spectroradiometer
Fields of Research : 07 Agricultural and Veterinary Sciences > 0703 Crop and Pasture Production > 070307 Crop and Pasture Post Harvest Technologies (incl. Transportation and Storage)
Socio-Economic Objective: B Economic Development > 82 Plant Production and Plant Primary Products > 8206 Harvesting and Packing of Plant Products > 820603 Sugar Cane (Cut for Crushing)

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