8 June 2012 Neural image analysis for estimating aerobic and anaerobic decomposition of organic matter based on the example of straw decomposition
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Proceedings Volume 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012); 83342B (2012) https://doi.org/10.1117/12.954165
Event: Fourth International Conference on Digital Image Processing (ICDIP 2012), 2012, Kuala Lumpur, Malaysia
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.
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P. Boniecki, K. Nowakowski, P. Slosarz, J. Dach, K. Pilarski, "Neural image analysis for estimating aerobic and anaerobic decomposition of organic matter based on the example of straw decomposition", Proc. SPIE 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012), 83342B (8 June 2012); doi: 10.1117/12.954165; https://doi.org/10.1117/12.954165
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