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Development of laser sensor sorting system of green soybeans

机译:毛豆激光传感器分拣系统的研制

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摘要

The grade-sorting of green soybeans, such as for identifying beans with a defected size, has so far depended on visual inspection and consequently the operation is very time-consuming. It is, therefore, desirable to shorten the operational time requirement through automation. The discernment part which used the laser sensor was built for grade sorting using form information in this research. This thesis reports on the following main results: (1) the development of a laser sensor grade-sorting system, (2) the introduction of a genetic programming of the self-dissembling type, and (3) the establishment of multistage sorting system.
机译:迄今为止,未加工大豆的等级分类,例如用于识别尺寸有缺陷的咖啡豆,一直依赖于目视检查,因此操作非常耗时。因此,希望通过自动化来缩短操作时间要求。在这项研究中,使用表单信息创建了使用激光传感器的识别部分,以进行等级分类。本文报告了以下主要结果:(1)激光传感器等级分选系统的开发;(2)引入自分解类型的遗传程序;(3)建立多级分选系统。

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