On Rejecting Outliers by Smirnov Test for Massive Data Input System in Vegetable Geographical Origin Identification System

N. Sato, M. Uehara, K. Shimomura, Hirobumi Yamamoto, K. Kamijo
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Abstract

As co-work with agricultural chemists, we developed a vegetable geographical origin identification system using trace element composition to solve cultivated place forging problems on vegetables in Japan. Vegetables cultivated in farm fields absorb trace metal elements from soil. Here, trace element means that very small quantity elements in chemistry. Since trace element compositions in soil differ from districts, trace element composition of cultivated vegetables also differs from districts, even farms. Our system can identify geographical origin of vegetables in short time by comparing trace element composition of doubtful vegetable and genuine vegetables. Therefore, trace element compositions of vegetables must be measured when they are shipped from farms. Normally, since fresh vegetables are sold in the same day of shipping, trace element compositions must be measured and recorded into databases in few hours, before they will arrive at market, sold to general consumers. In this paper, we describe a massive data gather system for our system which rejects outliers. In addition, we describe an interface between our system and measurement instruments that are PC/WS based but closed system.
蔬菜产地识别系统中海量数据输入系统的Smirnov检验剔除异常值
我们与农业化学家合作,开发了一套利用微量元素组成的蔬菜产地识别系统,解决了日本蔬菜的产地伪造问题。在农田里种植的蔬菜从土壤中吸收微量金属元素。在这里,微量元素是指化学中非常少量的元素。由于不同地区土壤中微量元素的组成不同,栽培蔬菜的微量元素组成也不同地区,甚至不同农场。该系统可以通过比较可疑蔬菜和正品蔬菜的微量元素组成,在短时间内识别蔬菜的产地。因此,蔬菜的微量元素组成必须在从农场运来的时候进行测量。通常,由于新鲜蔬菜是在运输当天出售的,微量元素的组成必须在它们到达市场并出售给普通消费者之前的几个小时内进行测量并记录到数据库中。在本文中,我们描述了一个大规模的数据收集系统,为我们的系统拒绝异常值。此外,我们还描述了系统与基于PC/WS但封闭系统的测量仪器之间的接口。
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