Discrimination of grapevine varieties cultivated in the Czech Republic by Artificial Neural Networks
An artificial neural network approach, based on fractal leaf parameters, and classical ampelography were used to identify nine grapevine varieties cultivated at the St. Claire’s vineyard, Prague Botanic Garden. Fifty healthy, fully-expanded leaves were collected for each variety, scanned using an op...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Firenze University Press
2012-12-01
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| Series: | Advances in Horticultural Science |
| Subjects: | |
| Online Access: | https://oaj.fupress.net/index.php/ahs/article/view/2992 |