Development of Non-destructive Quality Measurement Technique for Cabbage Seed (Brassica campestris L) using Hyperspectral Reflectance Imaging

초록

Cabbage (Brassica campestris L) is an important crop for Asian countries especially in Korea, Japan and China. In order to achieve uniform and high-yield rate of cabbage product, the 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 combine the features of imaging and spectrum, 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. To investigate the viable and non-viable seeds, viable seeds were artificially aged. Hyperspectral reflectance technique was used to discriminate aged cabbage seeds from sound ones. The PLS-DA and simple image threshold methods were applied to investigate the feasibility of distinguishing the aged seeds from the normal seeds. The discrimination accuracy of calibration set was 96.7% and the test was set to 96.9%. 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 through the naked eyes and conventional color cameras. Hyperspectral reflectance imaging has good potential for discriminating nonviable seeds from the massive amount of viable cabbage seeds.

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