ORIGINAL PAPER
Recognition of selected varieties of apples using neural modeling
 
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Journal of Research and Applications in Agricultural Engineering 2009;54(1):16-19
 
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ABSTRACT
The paper attempts to identify varieties of apples on the basis of their characteristics, using the chosen methods of artificial intelligence. For this purpose were used the selected topologies of artificial neural networks as tools to identify the apples on the basis of their digital images.
REFERENCES (8)
1.
Boniecki P.: Elementy modelowania neuronowego w rolnictwie, WUP Poznań 2008.
 
2.
Boniecki P., Piekarska-Boniecka H.: The SOFM Neural Network in the Process of Identification of Selected Orchard Pests, Journal of Research and Applications in Agricultural Engineering, 2004, Vol. 49(4), str. 5-10.
 
3.
Nowakowski K., Boniecki P.: Neuronowy model do identyfikacji makrouszkodzeń ziarniaków, Journal of Research and Applications in Agricultural Engineering, 2008, Vol. 53(2), str. 79-82.
 
4.
Tadeusiewicz R., Korohoda P.: Komputerowa analiza i przetwarzanie obrazów, Wyd. FPT 1997.
 
5.
Werblin F.S. & Roska B.: Parallel Visual Processing: A Tutorial of Retinal Function. Int. J. Bifurcation and Chaos, 2004, 14: 83-85.
 
6.
Sridharan D., Percival B., Arthur J. and Boahen K.: An insilico Neural Model of Dynamic Routing through Neuronal Coherence, Advances in Neural Information Processing Systems 20, D Koller, Y Singer and J Platt Eds., MIT Press 2008.
 
7.
Zaghloul, K.A.: A Silicon Implementation of a Novel Model for Retinal Processing. Doctoral Dissertation, Department of Neuroscience, University of Pennsylvania, Philadelphia 2001, PA.
 
8.
Kicuła M., Jakubek A.: Praca magisterska. Uniwersytet Przyrodniczy w Poznaniu 2008.
 
eISSN:2719-423X
ISSN:1642-686X
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