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  1. Asian Journal of Plant Sciences
  2. Vol 3 (3), 2004
  3. 340-343
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Asian Journal of Plant Sciences

Year: 2004 | Volume: 3 | Issue: 3 | Page No.: 340-343
DOI: 10.3923/ajps.2004.340.343

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Authors


Harun Coban


Keywords


  • Ampelography
  • artificial neural networks
  • grapevine
  • vitis vinifera L
Research Article

Application of an Artificial Neural Network (ANN) for the Identification of Grapevine (Vitis vinifera L.) Genotypes

Harun Coban
Neural networks were employed to distinguish between 12 accessions of grapevine found in some viticultural zones of Anatolia. The results show that the artificial neural network succeeded in identifying the unknown variety with certainty, except in the case of Antep Razakısı and Dımışkı, which is obviously a case of synonymy. A considerable similarity between Aydın Razakısı and Çivril Razakısı also appears. Similarity was found between Buca Razakısı and Dumanlı Razakısı and the other vine accessions are clearly differentiated.
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How to cite this article

Harun Coban, 2004. Application of an Artificial Neural Network (ANN) for the Identification of Grapevine (Vitis vinifera L.) Genotypes. Asian Journal of Plant Sciences, 3: 340-343.

DOI: 10.3923/ajps.2004.340.343

URL: https://scialert.net/abstract/?doi=ajps.2004.340.343

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