Non-destructive evaluation of bacteria-infected watermelon seeds using visible/near-infrared hyperspectral imaging

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• 作者：Hoonsoo Lee ; Moon S. Kim ; Yu-Rim Song ; Chang-Sik Oh ; Hyoun-Sub Lim ; Wang-Hee Lee ; Jum-Soon Kang and Byoung-Kwan Cho
• 刊名：Journal of the Science of Food and Agriculture
• 出版年：2017
• 出版时间：15 March 2017
• 年：2017
• 卷：97
• 期：4
• 页码：1084-1092
• 全文大小：1344K
• ISSN：1097-0010

文摘

There is a need to minimize economic damage by sorting infected seeds from healthy seeds before seeding. However, current methods of detecting infected seeds, such as seedling grow-out, enzyme-linked immunosorbent assays, the polymerase chain reaction (PCR) and the real-time PCR have a critical drawbacks in that they are time-consuming, labor-intensive and destructive procedures. The present study aimed to evaluate the potential of visible/near-infrared (Vis/NIR) hyperspectral imaging system for detecting bacteria-infected watermelon seeds.