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Proceedings Paper

Application of visible and shortwave near infrared spectrometer to predict sugarcane quality from different sample forms
Author(s): Nazmi Mat Nawi; Guangnan Chen; Troy Jensen
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Paper Abstract

Spectroscopic methods have been proposed to predict sugarcane quality in the field. There are different sample forms could be used to predict sugar content using spectroscopic methods; raw juice (RJ), clear juice (CJ), fibrated samples (FS), stalk cross sectional surface (SCS) and stalk skin (SS). Thus, this study was conducted to identify the optimum sample form for predicting quality using a low-cost and portable spectrometer. A total of 100 samples from each sample form were scanned using a visible-shortwave near infrared (Vis/SWNIR) spectrometer. The experiment was conducted under the same experimental setup and all data were treated using the same statistical methods. All spectral data were calibrated against brix value. The coefficient of determination (R2) for SCS, FS, CJ, SS and RJ were 0.88, 0.86, 0.84, 0.84, 0.81 and 0.80, respectively. The study found that a Vis/SWNIR spectrometer could be used to predict sugar content from all sample forms. The stalk samples scanned on cross sectional surface was found to be the optimum sample form for quality prediction using a Vis/SWNIR spectrometer.

Paper Details

Date Published: 17 May 2013
PDF: 6 pages
Proc. SPIE 8881, Sensing Technologies for Biomaterial, Food, and Agriculture 2013, 88810A (17 May 2013); doi: 10.1117/12.2029395
Show Author Affiliations
Nazmi Mat Nawi, Univ. of Southern Queensland (Australia)
Univ. Putra Malaysia (Malaysia)
Guangnan Chen, Univ. of Southern Queensland (Australia)
National Ctr. for Engineering in Agriculture (Australia)
Troy Jensen, Univ. of Southern Queensland (Australia)
National Ctr. for Engineering and Agriculture (Australia)


Published in SPIE Proceedings Vol. 8881:
Sensing Technologies for Biomaterial, Food, and Agriculture 2013
Naoshi Kondo, Editor(s)

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