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Proceedings Paper

Use of neural image analysis methods in the process to determine the dry matter content in the compost
Author(s): D. Wojcieszak; J. Przybył; A. Lewicki; A. Ludwiczak; A. Przybylak; P. Boniecki; K. Koszela; M. Zaborowicz; K. Przybył; K. Witaszek
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Paper Abstract

The aim of this research was investigate the possibility of using methods of computer image analysis and artificial neural networks for to assess the amount of dry matter in the tested compost samples. The research lead to the conclusion that the neural image analysis may be a useful tool in determining the quantity of dry matter in the compost. Generated neural model may be the beginning of research into the use of neural image analysis assess the content of dry matter and other constituents of compost. The presented model RBF 19:19-2-1:1 characterized by test error 0.092189 may be more efficient.

Paper Details

Date Published: 6 July 2015
PDF: 5 pages
Proc. SPIE 9631, Seventh International Conference on Digital Image Processing (ICDIP 2015), 963118 (6 July 2015); doi: 10.1117/12.2197035
Show Author Affiliations
D. Wojcieszak, Poznan Univ. of Life Sciences (Poland)
J. Przybył, Poznan Univ. of Life Sciences (Poland)
A. Lewicki, Poznan Univ. of Life Sciences (Poland)
A. Ludwiczak, Poznan Univ. of Life Sciences (Poland)
A. Przybylak, Poznan Univ. of Life Sciences (Poland)
P. Boniecki, Poznan Univ. of Life Sciences (Poland)
K. Koszela, Poznan Univ. of Life Sciences (Poland)
M. Zaborowicz, Poznan Univ. of Life Sciences (Poland)
K. Przybył, Poznan Univ. of Life Sciences (Poland)
K. Witaszek, Poznan Univ. of Life Sciences (Poland)


Published in SPIE Proceedings Vol. 9631:
Seventh International Conference on Digital Image Processing (ICDIP 2015)
Charles M. Falco; Xudong Jiang, Editor(s)

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