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Proceedings Paper

Identification of physical parameters of cereal grain using computer image analysis and neural models
Author(s): Krzysztof Nowakowski; Barbara Raba; Robert Jacek Tomczak; Piotr Boniecki; Sebastian Kujawa; Przemysław Jan Nowak; Radosław Matz
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Paper Abstract

The subject of the project was the selection of neural models for the identification of physical parameters of grain quality regarding to malting barley. Help in its implementation was the original computer system, "Hordeum v 2.0", in which graphic data was gained from digital images of kernels obtained by acquisition. The principal aim was to verify whether the artificial neural networks in combination with computer image analysis can become a practical tool used in farming, and whether the proposed technology can be applied in analysing the quality of cereal grains.

Paper Details

Date Published: 19 July 2013
PDF: 5 pages
Proc. SPIE 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013), 887823 (19 July 2013); doi: 10.1117/12.2030769
Show Author Affiliations
Krzysztof Nowakowski, Poznan Univ. of Life Sciences (Poland)
Barbara Raba, Poznan Univ. of Life Sciences (Poland)
Robert Jacek Tomczak, Poznan Univ. of Life Sciences (Poland)
Piotr Boniecki, Poznan Univ. of Life Sciences (Poland)
Sebastian Kujawa, Poznan Univ. of Life Sciences (Poland)
Przemysław Jan Nowak, Poznan Univ. of Life Sciences (Poland)
Radosław Matz, Poznan Univ. of Life Sciences (Poland)


Published in SPIE Proceedings Vol. 8878:
Fifth International Conference on Digital Image Processing (ICDIP 2013)
Yulin Wang; Xie Yi, Editor(s)

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