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Non‐destructive evaluation of bacteria‐infected watermelon seeds using visible/near‐infrared hyperspectral imaging
Author(s) -
Lee Hoonsoo,
Kim Moon S.,
Song YuRim,
Oh ChangSik,
Lim HyounSub,
Lee WangHee,
Kang JumSoon,
Cho ByoungKwan
Publication year - 2016
Publication title -
journal of the science of food and agriculture
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.782
H-Index - 142
eISSN - 1097-0010
pISSN - 0022-5142
DOI - 10.1002/jsfa.7832
Subject(s) - hyperspectral imaging , bacteria , sorting , biology , horticulture , food science , artificial intelligence , mathematics , computer science , genetics , algorithm
BACKGROUND 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. RESULTS A hyperspectral Vis/NIR reflectance imaging system (spectral region of 400–1000 nm) was constructed to obtain hyperspectral reflectance images for 336 bacteria‐infected watermelon seeds, which were then subjected to partial least square discriminant analysis (PLS‐DA) and a least‐squares support vector machine (LS‐SVM) to classify bacteria‐infected watermelon seeds from healthy watermelon seeds. The developed system detected bacteria‐infected watermelon seeds with an accuracy > 90% (PLS‐DA: 91.7%, LS‐SVM: 90.5%), suggesting that the Vis/NIR hyperspectral imaging system is effective for quarantining bacteria‐infected watermelon seeds. CONCLUSION The results of the present study show that it is possible to use the Vis/NIR hyperspectral imaging system for detecting bacteria‐infected watermelon seeds. © 2016 Society of Chemical Industry