Application of spectroscopic method to predict sugar content of sugarcane internodes

Nazmi Mat Nawi, . and Jensen Troy, . and Chen Guangnan, . Application of spectroscopic method to predict sugar content of sugarcane internodes. pp. 211-220. ISSN 1394-9829

The aim of this study was to investigate the potential of near-infrared (NIR) reflectance spectroscopy for predicting sugar content of sugarcane from internode samples. NIR spectral data were measured using a full-range spectroradiometer (FRS) in the wavelength region between 350 and 2 500 nm based on cross sectional scanning method (CSSM) and skin scanning method (SSM). Statistical models were developed using the partial least square (PLS) to interpret the spectral data and develop calibration model for the sugar content (Brix) of sugarcane. Both CSSM and SSM had good prediction accuracies in predicting Brix values with the corresponding correlation of determination (R2) values of 0.92 and 0.82 and root mean square error of prediction (RMSEP) of 1.03 and 1.50 Brix respectively. These results showed that the FRS can be used to predict the sugar content from internode samples using CSSM or SSM. However CSSM was found to give better prediction accuracy than SSM. These findings showed that spectroscopic methods have the potential to be applied for rapid determination of sugar content from stalk samples in the fields.

Full text available from: Official URL: http://ejtafs.mardi.gov.my/jtafs/41-2/Sugarcane.pd...

Abstract

The aim of this study was to investigate the potential of near-infrared (NIR) reflectance spectroscopy for predicting sugar content of sugarcane from internode samples. NIR spectral data were measured using a full-range spectroradiometer (FRS) in the wavelength region between 350 and 2 500 nm based on cross sectional scanning method (CSSM) and skin scanning method (SSM). Statistical models were developed using the partial least square (PLS) to interpret the spectral data and develop calibration model for the sugar content (Brix) of sugarcane. Both CSSM and SSM had good prediction accuracies in predicting Brix values with the corresponding correlation of determination (R2) values of 0.92 and 0.82 and root mean square error of prediction (RMSEP) of 1.03 and 1.50 Brix respectively. These results showed that the FRS can be used to predict the sugar content from internode samples using CSSM or SSM. However CSSM was found to give better prediction accuracy than SSM. These findings showed that spectroscopic methods have the potential to be applied for rapid determination of sugar content from stalk samples in the fields.

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Item Type:	Article
AGROVOC Term:	Sugarcane
AGROVOC Term:	Internodes
AGROVOC Term:	Sugar content
AGROVOC Term:	Cross sectional analysis
AGROVOC Term:	NIR spectroscopy
AGROVOC Term:	Near infrared spectroscopy
AGROVOC Term:	Spectral analysis
AGROVOC Term:	Pruning
AGROVOC Term:	Absorption
AGROVOC Term:	Plant breeding
Depositing User:	Ms. Suzila Mohamad Kasim
Last Modified:	24 Apr 2025 06:29
URI:	http://webagris.upm.edu.my/id/eprint/24468

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