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seeds Data Set
Download: Data Folder, Data Set Description
Abstract: Measurements of geometrical properties of kernels belonging to three different varieties of
wheat. A soft X-ray technique and GRAINS package were used to construct all seven, real-valued
attributes.
Data Set
Characteristics:
Multivariate
Number of
Instances:
210 Area: Life
Attribute
Characteristics:
Real
Number of
Attributes:
7 Date Donated
2012-09-
29
Associated Tasks:
Classification,
Clustering
Missing
Values?
N/A
Number of
Web Hits:
301859
Source:
Małgorzata Charytanowicz, Jerzy Niewczas
Institute of Mathematics and Computer Science,
The John Paul II Catholic University of Lublin, Konstantynów 1 H,
PL 20-708 Lublin, Poland
e-mail: {mchmat,jniewczas}@kul.lublin.pl
Piotr Kulczycki, Piotr A. Kowalski, Szymon Lukasik, Slawomir Zak
Department of Automatic Control and Information Technology,
Cracow University of Technology, Warszawska 24, PL 31-155 Cracow, Poland
and
Systems Research Institute, Polish Academy of Sciences, Newelska 6,
PL 01-447 Warsaw, Poland
e-mail: {kulczycki,pakowal,slukasik,slzak}@ibspan.waw.pl
Data Set Information:
The examined group comprised kernels belonging to three different varieties of wheat: Kama, Rosa and
Canadian, 70 elements each, randomly selected for
the experiment. High quality visualization of the internal kernel structure was detected using a soft X-ray
technique. It is non-destructive and considerably cheaper than other more sophisticated imaging
techniques like scanning microscopy or laser technology. The images were recorded on 13x18 cm X-ray
KODAK plates. Studies were conducted using combine harvested wheat grain originating from
experimental fields, explored at the Institute of Agrophysics of the Polish Academy of Sciences in Lublin.
The data set can be used for the tasks of classification and cluster analysis.
