Ranking for Preharvest Cottons by Using Machine Vision
نویسندگان
چکیده
In order to assess the quality of preharvest cottons objectively, ranking classifiers were designed based on machine vision technologies to grade preharvest cottons on dark background based on their sizes and colors. Experiments showed that the classifiers can classify preharvest cottons into seven grade categories with an accuracy of nearly 91.5%.
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