Neural image analysis for estimating aerobic and anaerobic decomposition of organic matter based on the example of straw decomposition
Piotr Boniecki, Krzysztof Nowakowski, Piotr Ślósarz, Jacek Dach, Krzysztof Pilarski · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2012
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.