Prediction and classification of sugar content of sugarcane based on skin scanning using visible and shortwave near infrared
Article
Article Title | Prediction and classification of sugar content of sugarcane |
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ERA Journal ID | 3455 |
Article Category | Article |
Authors | Nawi, Nazmi Mat (Author), Chen, Guangnan (Author), Jensen, Troy (Author) and Mehdizadeh, Saman Abdanan (Author) |
Journal Title | Biosystems Engineering |
Journal Citation | 115 (2), pp. 154-161 |
Number of Pages | 8 |
Year | 2013 |
Publisher | Elsevier |
Place of Publication | London, United Kingdom |
ISSN | 1537-5110 |
1537-5129 | |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.biosystemseng.2013.03.005 |
Web Address (URL) | http://www.sciencedirect.com/science/article/pii/S1537511013000469 |
Abstract | The potential application of a visible and shortwave near infrared (Vis/SWNIR) spectroscopic technique as a low cost alternative to predict sugar content based on skin scanning |
Keywords | sugarcane; quality measurement; ANN; classification; spectrometer |
ANZSRC Field of Research 2020 | 340399. Macromolecular and materials chemistry not elsewhere classified |
409901. Agricultural engineering | |
300404. Crop and pasture biochemistry and physiology | |
Public Notes | You may print or download for your own personal, non-commercial, informational or scholarly use, provided that you keep intact all copyright and other proprietary notices. |
Byline Affiliations | National Centre for Engineering in Agriculture |
Ramin Khuzestan University of Agriculture and Natural Resources, Iran | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q1y88/prediction-and-classification-of-sugar-content-of-sugarcane-based-on-skin-scanning-using-visible-and-shortwave-near-infrared
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