Automated Grapevine Cultivar Identification via Leaf Imaging and Deep Convolutional Neural Networks: A Proof-of-Concept Study Employing Primary Iranian Varieties

Extending over millennia, grapevine cultivation encompasses several thousand cultivars. Cultivar (cultivated variety) identification is traditionally dealt by ampelography, requiring repeated observations by experts along the growth cycle of fruiting plants. For on-time evaluations, molecular geneti...

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Detalles Bibliográficos
Autores principales: Nasiri, Amin, Taheri-Garavand, Amin, Fanourakis, Dimitrios, Zhang, Yu-Dong, Nikoloudakis, Nikolaos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8399703/
https://www.ncbi.nlm.nih.gov/pubmed/34451673
http://dx.doi.org/10.3390/plants10081628

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8399703/
https://www.ncbi.nlm.nih.gov/pubmed/34451673
http://dx.doi.org/10.3390/plants10081628

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