Nawi, Nazmi Mat and Jensen, Troy and Chen, Guangnan 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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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.
|Item Type:||Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)|
|Additional Information:||Publisher does not formally support archiving.|
|Uncontrolled Keywords:||spectroscopic method; sugarcane; sugarcane quality; stalk; cross-sectional|
|Fields of Research (FOR2008):||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
|Socio-Economic Objective (SEO2008):||E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering|
|Deposited On:||05 Mar 2012 11:33|
|Last Modified:||28 Jun 2012 11:58|
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