Application of neural networks for seed germination assessment

Authors:
Mirolyub Mladenov;Martin Dejanov
Affiliations:
Department of Automatics, Information and Control Engineering, University of Rouse, Rousse, Bulgaria;Department of Automatics, Information and Control Engineering, University of Rouse, Rousse, Bulgaria
Venue:
NN'08 Proceedings of the 9th WSEAS International Conference on Neural Networks
Year:
2008

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Abstract

This paper is focused on some key problems, related to the development of a new technology for seed germination assessment using computer vision. An approach for germinated seed image segmentation based on artificial neural networks is proposed. The possibility to use standard neural networks for seed, germ and roots zones extraction is analyzed. A modified RBFN is developed. The accuracy of realized procedures is evaluated.