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Proceedings Paper

Neural image analysis for estimating aerobic and anaerobic decomposition of organic matter based on the example of straw decomposition
Author(s): P. Boniecki; K. Nowakowski; P. Slosarz; J. Dach; K. Pilarski
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Paper Abstract

The purpose of the project was to identify the degree of organic matter decomposition by means of a neural model based on graphical information derived from image analysis. Empirical data (photographs of compost content at various stages of maturation) were used to generate an optimal neural classifier (Boniecki et al. 2009, Nowakowski et al. 2009). The best classification properties were found in an RBF (Radial Basis Function) artificial neural network, which demonstrates that the process is non-linear.

Paper Details

Date Published: 8 June 2012
PDF: 5 pages
Proc. SPIE 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012), 83342B (8 June 2012); doi: 10.1117/12.954165
Show Author Affiliations
P. Boniecki, Poznan Univ. of Life Sciences (Poland)
K. Nowakowski, Poznan Univ. of Life Sciences (Poland)
P. Slosarz, Poznan Univ. of Life Sciences (Poland)
J. Dach, Poznan Univ. of Life Sciences (Poland)
K. Pilarski, Poznan Univ. of Life Sciences (Poland)


Published in SPIE Proceedings Vol. 8334:
Fourth International Conference on Digital Image Processing (ICDIP 2012)
Mohamed Othman; Sukumar Senthilkumar; Xie Yi, Editor(s)

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