Non-destructive evaluation of bacteria-infected watermelon seeds using visible/near-infrared hyperspectral imaging.
J Sci Food Agric
; 97(4): 1084-1092, 2017 Mar.
Article
in En
| MEDLINE
| ID: mdl-27264863
ABSTRACT
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.Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Seeds
/
Bacteria
/
Spectroscopy, Near-Infrared
/
Citrullus
/
Food Microbiology
Type of study:
Evaluation_studies
Limits:
Humans
Language:
En
Journal:
J Sci Food Agric
Year:
2017
Type:
Article
Affiliation country:
South Korea