Prediction of sugarcane quality parameters using visible-shortwave near infrared spectroradiometer

Citation

Mat Nawi, Nazmi and Kamal, Md Rowshon and Chen, Guangnan and Jensen, Troy (2014) Prediction of sugarcane quality parameters using visible-shortwave near infrared spectroradiometer. Agriculture and Agricultural Science Procedia, 2. pp. 136-143. ISSN 2210-7843

Abstract

This study was undertaken to explore the potential of spectroscopic method to predict sugarcane quality parameters by directly scanning the internode samples. Spectral data was collected from 125 internode using a visible-shortwave near infrared spectroradiometer (VNIRS). The spectral data was calibrated using Partial Least Square (PLS) method against the reference values of Brix, fibre content (FC) and moisture content (MC). The prediction results for Brix, FC and MC as represented by coefficient of determination (R2) were 0.88, 0.93 and 0.90,respectively. These results suggested that the spectroscopic method could be used to predict sugarcane quality parameters with good accuracy.

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Additional Metadata

Item Type:	Article
Divisions:	Faculty of Engineering
DOI Number:	https://doi.org/10.1016/j.aaspro.2014.11.020
Publisher:	Elsevier
Keywords:	Sugarcane; Sugar content; Quality; Brix; Spectroscopic; Internode
Depositing User:	Mohd Noor Ismail
Date Deposited:	04 May 2016 04:34
Last Modified:	04 May 2016 04:34
Altmetrics:	http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1016/j.aaspro.2014.11.020
URI:	http://psasir.upm.edu.my/id/eprint/43187
Statistic Details:	View Download Statistic

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