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

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

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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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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: © 2014 The Authors. This is an open access article under the CC BY-NC-ND license 3.0. It may be reproduced in whole or in part for the purposes of study, research, or review, but is subject to the inclusion of an acknowledgment of the source. Paper presented at: 2nd International Conference on Agricultural and Food Engineering (CAFEi 2014)
Faculty / Department / School: Current - Faculty of Health, Engineering and Sciences - School of Agricultural, Computational and Environmental Sciences
Date Deposited: 20 Apr 2015 05:57
Last Modified: 29 Jun 2015 00:35
Uncontrolled Keywords: sugarcane; sugar content; quality; Brix; spectroscopic; internode
Fields of Research : 07 Agricultural and Veterinary Sciences > 0701 Agriculture, Land and Farm Management > 070104 Agricultural Spatial Analysis and Modelling
09 Engineering > 0906 Electrical and Electronic Engineering > 090605 Photodetectors, Optical Sensors and Solar Cells
09 Engineering > 0999 Other Engineering > 099901 Agricultural Engineering
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)
Identification Number or DOI: 10.1016/j.aaspro.2014.11.020

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