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19 July 2013 Identification of physical parameters of cereal grain using computer image analysis and neural models
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Proceedings Volume 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013); 887823 (2013) https://doi.org/10.1117/12.2030769
Event: Fifth International Conference on Digital Image Processing, 2013, Beijing, China
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.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Krzysztof Nowakowski, Barbara Raba, Robert Jacek Tomczak, Piotr Boniecki, Sebastian Kujawa, Przemysław Jan Nowak, and Radosław Matz "Identification of physical parameters of cereal grain using computer image analysis and neural models", Proc. SPIE 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013), 887823 (19 July 2013); https://doi.org/10.1117/12.2030769
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