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http://dx.doi.org/10.9721/KJFST.2017.49.5.469

Discrimination analysis of new rice, stale rice, and their mixture using an electronic eye  

Hong, Jee-Hwa (Experiment Research Institute, National Agricultural Products Quality Management Service)
Lee, Jae-Hwon (Experiment Research Institute, National Agricultural Products Quality Management Service)
Cho, Young-Ho (Centum-Tech)
Choi, Kyung-Hu (Experiment Research Institute, National Agricultural Products Quality Management Service)
Lee, Min-Hui (Experiment Research Institute, National Agricultural Products Quality Management Service)
Park, Young-Jun (Experiment Research Institute, National Agricultural Products Quality Management Service)
Kim, Hyun-Tae (Experiment Research Institute, National Agricultural Products Quality Management Service)
Publication Information
Korean Journal of Food Science and Technology / v.49, no.5, 2017 , pp. 469-473 More about this Journal
Abstract
The objective of this study was to develop methods for the discrimination of new and stale rice by using an electronic eye. To develop the discriminant, 107 rice samples produced in the years 2015 and 2016 were investigated. After the rice was treated with guaiacol, oxydol, and p-phenylenediamine reagents, an electronic eye was applied to discriminate between newly harvested rice and rice stored for 1 year. Out of the 4,096 color codes of the electronic eye, 31 color codes were identified for the discrimination of newly harvested rice and rice stored for 1 year. The classification ratio of newly harvested rice and rice stored for 1 year was 100% and the discrimination accuracy for unknown samples was 100%. In a total of 150 mixtures of new rice and stale rice, the discrimination accuracy was between 16.7 and 95.6%, depending on the mixing ratio. This capability of the electronic eye will be useful as a tool for discriminating the production year of rice.
Keywords
electronic eye; discrimination; newly harvested rice; rice stored for one year; color codes;
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Times Cited By KSCI : 4  (Citation Analysis)
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