Application of spectroscopic method to predict sugar content of sugarcane internodes

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...

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Main Authors: Mat Nawi, Nazmi, Jensen, Troy, Chen, Guangnan
Format: Article
Language:English
Published: Malaysian Agricultural Research and Development Institute (MARDI) 2013
Online Access:http://psasir.upm.edu.my/id/eprint/49307/
http://psasir.upm.edu.my/id/eprint/49307/1/Application%20of%20spectroscopic%20method%20to%20predict%20sugar%20content%20of%20sugarcane%20internodes.pdf
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author Mat Nawi, Nazmi
Jensen, Troy
Chen, Guangnan
author_facet Mat Nawi, Nazmi
Jensen, Troy
Chen, Guangnan
author_sort Mat Nawi, Nazmi
building UPM Institutional Repository
collection Online Access
description 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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spelling upm-493072016-12-30T02:31:09Z http://psasir.upm.edu.my/id/eprint/49307/ Application of spectroscopic method to predict sugar content of sugarcane internodes Mat Nawi, Nazmi Jensen, Troy Chen, Guangnan 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. Malaysian Agricultural Research and Development Institute (MARDI) 2013 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/49307/1/Application%20of%20spectroscopic%20method%20to%20predict%20sugar%20content%20of%20sugarcane%20internodes.pdf Mat Nawi, Nazmi and Jensen, Troy and Chen, Guangnan (2013) Application of spectroscopic method to predict sugar content of sugarcane internodes. Journal of Tropical Agriculture and Food Science, 41 (2). pp. 211-220. ISSN 1394-9829; ESSN: 2289-9650 http://ejtafs.mardi.gov.my/index.php/publication/issues/archive/136-2013/volume-41-no2/726-410213
spellingShingle Mat Nawi, Nazmi
Jensen, Troy
Chen, Guangnan
Application of spectroscopic method to predict sugar content of sugarcane internodes
title Application of spectroscopic method to predict sugar content of sugarcane internodes
title_full Application of spectroscopic method to predict sugar content of sugarcane internodes
title_fullStr Application of spectroscopic method to predict sugar content of sugarcane internodes
title_full_unstemmed Application of spectroscopic method to predict sugar content of sugarcane internodes
title_short Application of spectroscopic method to predict sugar content of sugarcane internodes
title_sort application of spectroscopic method to predict sugar content of sugarcane internodes
url http://psasir.upm.edu.my/id/eprint/49307/
http://psasir.upm.edu.my/id/eprint/49307/
http://psasir.upm.edu.my/id/eprint/49307/1/Application%20of%20spectroscopic%20method%20to%20predict%20sugar%20content%20of%20sugarcane%20internodes.pdf