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Machine vision system for automated detection of stained pistachio nuts

机译:机器视觉系统,用于自动检测开心果中的污点

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Abstract: A machine vision system was developed to separate stained pistachio nuts, which comprise of about 5% of the California crop, from unstained nuts. The system may be used to reduce labor involved with manual grading or to remove aflatoxin contaminated product from low grade process streams. The system was tested on two different pistachio process streams: the bi- chromatic color sorter reject stream and the small nut shelling stock stream. The system had a minimum overall error rate of 14% for the bi-chromatic sorter reject stream and 15% for the small shelling stock stream.!10
机译:摘要:开发了一种机器视觉系统,以将沾有开心果的坚果和未染色的坚果分开,这些开心果坚果约占加利福尼亚农作物的5%。该系统可用于减少人工分级所涉及的劳动或从低等级工艺流中去除黄曲霉毒素污染的产品。该系统在两种不同的开心果工艺物流上进行了测试:双色色选机废品物流和小坚果脱壳原料物流。该系统对双色分拣机剔除料流的最小整体错误率是14%,对于小型脱壳料流的最小整体错误率是15%。10

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