GrapeLeafNet: A Dual-Track Feature Fusion Network With Inception-ResNet and Shuffle-Transformer for Accurate Grape Leaf Disease Identification

GrapeLeafNet: A Dual-Track Feature Fusion Network With Inception-ResNet and Shuffle-Transformer for Accurate Grape Leaf Disease Identification

Grapes are a widely cultivated crop in the horticultural industry, renowned for their unique flavor and nutritional benefits. However, this crop is highly susceptible to various diseases that can cause significant reductions in yield and quality, resulting in considerable financial losses. Therefore...

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Bibliographic Details
Main Authors: R. Karthik, R. Menaka, S. Ompirakash, P. Bala Murugan, M. Meenakashi, Sindhia Lingaswamy, Daehan Won
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Grape leaf disease
deep learning
transformer
CNN
attention
Online Access:https://ieeexplore.ieee.org/document/10418225/

Internet

https://ieeexplore.ieee.org/document/10418225/

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