Application of visible and shortwave near infrared spectrometer to predict sugarcane quality from different sample forms
Paper
Paper/Presentation Title | Application of visible and shortwave near infrared spectrometer to predict sugarcane quality from different sample forms |
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Presentation Type | Paper |
Authors | Nawi, Nazmi Mat (Author), Chen, Guangnan (Author) and Jensen, Troy (Author) |
Editors | Kondo, Naoshi |
Journal or Proceedings Title | Proceedings of SPIE (International Society for Optical Engineering) |
Journal Citation | 8881 (1), pp. 1-6 |
Number of Pages | 6 |
Year | 2013 |
Publisher | SPIE |
Place of Publication | Bellingham, WA. United States |
ISSN | 0277-786X |
ISBN | 9780819497437 |
Digital Object Identifier (DOI) | https://doi.org/10.1117/12.2029395 |
Conference/Event | 1st International Conference on Sensing Technologies for Biomaterial, Food and Agriculture (SeTBio 2013) |
Event Details | 1st International Conference on Sensing Technologies for Biomaterial, Food and Agriculture (SeTBio 2013) Event Date 23 to end of 25 Apr 2013 Event Location Yokohama, Japan |
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 |
Keywords | Vis/SWNIR; sugarcane; quality measurement; optimum sample form; portable spectrometer; low-cost |
ANZSRC Field of Research 2020 | 510203. Nonlinear optics and spectroscopy |
409901. Agricultural engineering | |
300406. Crop and pasture improvement (incl. selection and breeding) | |
Public Notes | © 2013 SPIE. Published version deposited in accordance with the copyright policy of the publisher. |
Byline Affiliations | National Centre for Engineering in Agriculture |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q1z0z/application-of-visible-and-shortwave-near-infrared-spectrometer-to-predict-sugarcane-quality-from-different-sample-forms
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