ISSN : 1796-2056
Volume : 2    Issue : 5    Date : September 2007

Outlier Rejection in Massive Trace Element Data for Geographical Origin Identification System of
Nobuyoshi Sato, Minoru Uehara, Koichiro Shimomura, Hirobumi Yamamoto, and Kenichi Kamijo
Page(s): 61-68
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As the result of establishment of brands for some farming districts in Japan, it is a big social issue
that agricultural products of which geographical origins are camouflaged. To solve this problem, we
have proposed a distributed system that identifies cultivated places of vegetables by using their
trace element content as coresearch with agricultural chemists. This system records trace element
content of vegetables when shipping from farms into databases which located in various farming
districts. In case of a vegetable of which geographical origin is doubtful was found in markets, this
system estimates real geographical origin by comparison between its trace element content and
trace element content stored in databases. This system requires to measure and store trace
element content in short time. Because amount of trace element data is relatively numerous,
commitment of humans’ works should be avoided as possible as. On the other hand, since a lot of
outliers are contained in trace element data, it is important that not to store trace element data which
contains outliers to realize correct geographical origin identification in this system. In this paper, we
describe a method for our geographical origin identification system to find and reject outliers in
massive quantity of trace element content data.

Index Terms
Geographical Origin Identification by Trace Element, Smirnov Test, Outlier Rejection