Prediction of sugarcane quality parameters using visible-shortwave near infrared spectroradiometer
Article
Article Title | Prediction of sugarcane quality parameters using visible-shortwave near infrared spectroradiometer |
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Article Category | Article |
Authors | Nawi, Nazmi Mat (Author), Rowshon, Kamal Md. (Author), Chen, Guangnan (Author) and Jensen, Troy (Author) |
Journal Title | Agriculture and Agricultural Science Procedia |
Journal Citation | 2, pp. 136 -143 |
Number of Pages | 8 |
Year | 2014 |
Place of Publication | Amsterdam, Netherlands |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.aaspro.2014.11.020 |
Web Address (URL) | http://www.sciencedirect.com/science/article/pii/S2210784314000217 |
Abstract | 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. |
Keywords | sugarcane; sugar content; quality; Brix; spectroscopic; internode |
ANZSRC Field of Research 2020 | 300206. Agricultural spatial analysis and modelling |
400999. Electronics, sensors and digital hardware not elsewhere classified | |
409901. Agricultural engineering | |
Byline Affiliations | National Centre for Engineering in Agriculture |
University of Putra Malaysia, Malaysia | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q2wzw/prediction-of-sugarcane-quality-parameters-using-visible-shortwave-near-infrared-spectroradiometer
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Nazmi 2014 - Agriculture and Agricultural Science Procedia.pdf | ||
License: CC BY | ||
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