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ORIGINAL PAPER
Neural image analysis in process of compost quality identification
Journal of Research and Applications in Agricultural Engineering 2009;54(1):9-11
KEYWORDS
ABSTRACT
The paper presents the experiments of compost images analysis carried out with two types of digital cameras working in daylight and ultraviolet light. The data collected with two cameras were analysed with the usage of neural network model (using part of application Statistica v. 8.0). The results of images analysis were combined also with the results of chemical and physical analysis of composted material.
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Kabarowski T.: Automated mammographic screening using artifical neural networks. Proc. 4th Conf. Neural Networks and their Applications. Zakopane 1999.
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Pinho A.j.: Modeling non-linear edge detectors using artificial neural networks. Proc. Annual Int. Conf. IEEE Engineering in Medicine and Biology Society, San Diego 1993, Vol. 15, pp.306-307.
3.
Boniecki P., Nowakowski K.: The classification of maize's kernels with supporting neuronal identification of shape, Journal of Research and Applications in Agricultural Engineering, 2008, Vol. 53(3), p. 14-18 (in Polish).
4.
Boniecki P.: Elementy modelowania neuronowego w rolnictwie, WUP Poznań 2008 (in Polish).
| eISSN: | 2719-423X |
| ISSN: | 1642-686X |
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