The application of spectroscopic methods to predict sugarcane quality based on stalk cross-sectional scanning

Nawi, Nazmi Mat and Jensen, Troy and Chen, Guangnan ORCID: https://orcid.org/0000-0001-8460-9224 and Baillie, Craig (2011) The application of spectroscopic methods to predict sugarcane quality based on stalk cross-sectional scanning. In: SEAg 2011: Diverse Challenges, Innovative Solutions, 29-30 Sep 2011, Gold Coast, Australia.

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Abstract

Spectroscopic techniques have been widely used as rapid and non-destructive tools to evaluate the various internal quality attributes of fruits and vegetables. In this study, visible and near-infrared spectroradiometer (Vis/NIR) and full range spectroradiometer (FRs) were used to determine the quality level of sugarcane based on cross-sectional stalk scanning. Spectral data were collected from 100 fresh samples representing ten different sugarcane varieties. Each same was cut into three sections; bottom, middle and top. Each section was scanned using both spectroradiometers. After preprocessing treatment, Partial Least Squares (PLS) method was used to interpret the spectra and develop both calibration and prediction models for quality components. The best section of the stalk for the optimum scanning was identified. The correlation coefficient (r2) for Brix, Pol, CCS and fiber predicted by the Vis/NIR were 0.68, 0.71, 0.70 and 0.56, respectively. The r2 for Brix, Pol, CCS and fiber as predicted by the FRs were 0.76, 0.76, 0.81 and 0.68, respectively. The results
suggested that spectroscopy is feasible method for predicting sugarcane quality in the field based on cross-sectional scanning of the cane stalk. There is also a potential to develop an in-field application for measuring sugarcane quality using spectroscopy.

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Item Type:	Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed:	Yes
Item Status:	Live Archive
Additional Information:	Publisher does not formally support archiving.
Faculty/School / Institute/Centre:	Historic - Faculty of Engineering and Surveying - Department of Agricultural, Civil and Environmental Engineering (Up to 30 Jun 2013)
Faculty/School / Institute/Centre:	Historic - Faculty of Engineering and Surveying - Department of Agricultural, Civil and Environmental Engineering (Up to 30 Jun 2013)
Date Deposited:	05 Mar 2012 01:33
Last Modified:	29 Jun 2017 23:14
Uncontrolled Keywords:	spectroscopic method; sugarcane; sugarcane quality; stalk; cross-sectional
Fields of Research (2008):	03 Chemical Sciences > 0306 Physical Chemistry (incl. Structural) > 030606 Structural Chemistry and Spectroscopy 09 Engineering > 0999 Other Engineering > 099901 Agricultural Engineering 07 Agricultural and Veterinary Sciences > 0703 Crop and Pasture Production > 070303 Crop and Pasture Biochemistry and Physiology
Fields of Research (2020):	34 CHEMICAL SCIENCES > 3403 Macromolecular and materials chemistry > 340399 Macromolecular and materials chemistry not elsewhere classified 40 ENGINEERING > 4099 Other engineering > 409901 Agricultural engineering 30 AGRICULTURAL, VETERINARY AND FOOD SCIENCES > 3004 Crop and pasture production > 300404 Crop and pasture biochemistry and physiology
Socio-Economic Objectives (2008):	E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering
URI:	http://eprints.usq.edu.au/id/eprint/20126

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