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Massive Data Input System for Geographical Origin Identification System of Vegetables using Trace Element Compositions

机译:痕量元素组成的蔬菜地理原产地识别系统的大规模数据输入系统

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As co-research with agricultural chemists, we developed a vegetable geographical origin identification system using difference of trace element compositions of vegetables from cultivated districts. The system works well to identify geographical origin of vegetables in our previous works. However, there are some problems to gather trace element compositions data Generally, measured trace element data contains outlying observations, and normally an experimenter removes these kinds of outlying observations. However, in case of massive data must be registered in short time, checking of measured data by hand is an obstruction to automatically registration. Therefore, in this paper, we describe about trial to introduce outlying observation detector using Smimov test Also, we describe about how to extract measured data in electronic form from measuring instruments such as ICP-MS which are normally closed system.
机译:作为与农业化学家共同研究,我们开发了一种蔬菜地理原产地识别系统,使用耕地的蔬菜痕量组成的差异。该系统在我们以前的作品中识别蔬菜的地理来源。然而,有一些问题需要收集痕量元素组合物数据,但是测量的痕量元素数据包含偏远的观察,并且通常实验者去除这些偏远的观察。但是,如果必须在短时间内注册大规模数据,手动检查测量数据是自动注册的阻碍。因此,在本文中,我们描述了使用Smimov测试引入外围观测探测器的试验,我们还描述了如何从测量仪器中提取电子形式的测量数据,例如ICP-MS是通常关闭系统的ICP-MS。

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