Application of visible and shortwave near infrared spectrometer to predict sugarcane quality from different sample forms

Nawi, Nazmi Mat and Chen, Guangnan and Jensen, Troy (2013) Application of visible and shortwave near infrared spectrometer to predict sugarcane quality from different sample forms. In: 1st International Conference on Sensing Technologies for Biomaterial, Food and Agriculture (SeTBio 2013), 23-25 Apr 2013, Yokohama, Japan.

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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, 0.81 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.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: © 2013 SPIE. Published version deposited in accordance with the copyright policy of the publisher.
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Agricultural, Civil and Environmental Engineering
Date Deposited: 05 Aug 2013 00:10
Last Modified: 14 Sep 2014 21:44
Uncontrolled Keywords: Vis/SWNIR; sugarcane; quality measurement; optimum sample form; portable spectrometer; low-cost
Fields of Research : 02 Physical Sciences > 0205 Optical Physics > 020503 Nonlinear Optics and Spectroscopy
09 Engineering > 0999 Other Engineering > 099901 Agricultural Engineering
07 Agricultural and Veterinary Sciences > 0703 Crop and Pasture Production > 070305 Crop and Pasture Improvement (Selection and Breeding)
Socio-Economic Objective: B Economic Development > 82 Plant Production and Plant Primary Products > 8299 Other Plant Production and Plant Primary Products > 829999 Plant Production and Plant Primary Products not elsewhere classified
Identification Number or DOI: 10.1117/12.2029395
URI: http://eprints.usq.edu.au/id/eprint/23539

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