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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. 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.
Subject Area
Biology
Instances
210
Features
Data Types
Multivariate
Tasks
Classification, Clustering
Feature Types
Continuous

Features

Introductory Paper

Complete Gradient Clustering Algorithm for Features Analysis of X-Ray Images
M. Charytanowicz, J. Niewczas, P. Kulczycki, Piotr A. Kowalski, Szymon Łukasik, Slawomir Zak. 2010.
Information Technologies in Biomedicine

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Keywords
Authors
Magorzata Charytanowicz
Jerzy Niewczas
Piotr Kulczycki
Piotr Kowalski
Szymon Lukasik
Year Created
2010
License
CC BY 4.0