An image pattern classification program was developed to discriminate among asymptomatic soybean seeds, immature seeds, and seeds that had been discolored by fungi or a virus. The program was trainable and could be retrained by the user by recording images of exemplars. The algorithm used chromaticity coordinates to correctly classify asymptomatic seeds, seeds infected by C. kikuchii, seeds that belong to a group used by the Federal Grain Inspection Service called 'seeds of other colors', and 'materially damaged seeds' with 94%, 97%, 85%, and 96% accuracy, respectively. The comprehensive results for all tests yielded a classification accuracy of 94% for classification of seeds into classes that conformed to USDA/FGIS grading procedures. The variables used for classification were color chromaticity coordinates and seed sphericity.
|Original language||English (US)|
|Number of pages||8|
|Journal||Transactions of the American Society of Agricultural Engineers|
|State||Published - Nov 1 1992|
ASJC Scopus subject areas
- Agricultural and Biological Sciences (miscellaneous)