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KMID : 1024420120160030257
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Food Engineering Progress
2012 Volume.16 No. 3 p.257 ~ p.262
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Development of Non-destructive Quality Measurement Technique for Cabbage Seed (Brassica campestris L) using Hyperspectral Reflectance Imaging
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Ahn Chi-Kook
Baek In-Suck
Mo Chang-Yeun
Kang Suk-Won
Kim Moon-S.
Cho Byoung-Kwan
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Abstract
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Cabbage (Brassica campestris L) is an important crop for Asian countries, and especially so for Korea, Japan and China. In order to achieve uniform and high-yield rates of cabbage product, seed lot quality needs to be controlled. Non-destructive evaluation of seed viability is an important technique for investigating seed quality. Hyperspectral imaging technique, which combines the features of imaging and spectroscopy, has been considered one of the most powerful nondestructive evaluation methods allowing comprehensive analysis of the physical and biochemical characteristics of materials. In this study, the feasibility of hyperspectral reflectance imaging technique was investigated for the evaluation of seed viability. For the investigation of viable and non-viable seeds, some viable seeds were artificially aged. Hyperspectral reflectance technique was used to discriminate aged cabbage seeds from normal seeds. The PLSDA and simple image threshold methods were applied to investigate the feasibility of distinguishing the aged seeds from the normal seeds. The discrimination accuracy was 96.7% for the calibration set and 96.9% for the test set. The resultant images from the PLS-DA method showed high classification performance in distinguishing the nonviable from the viable seeds, which is an impossible task by naked eye and by conventional color cameras. Hyperspectral reflectance imaging has good potential for discriminating nonviable cabbage seeds from massive amounts of viable cabbage seeds.
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KEYWORD
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cabbage, seed quality, nondestructive sorting, hyperspectral image, PLS-DA
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