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

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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Bibliographic Details
Main Authors: Amin Nasiri, Amin Taheri-Garavand, Dimitrios Fanourakis, Yu-Dong Zhang, Nikolaos Nikoloudakis
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Plants
Subjects:
convolutional neural network
image classification
ImageNet
VGGNet
VGG16
<i>Vitis vinifera</i>
Online Access:https://www.mdpi.com/2223-7747/10/8/1628

Internet

https://www.mdpi.com/2223-7747/10/8/1628

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