Lightweight grape leaf disease recognition method based on transformer framework

Lightweight grape leaf disease recognition method based on transformer framework

Abstract Grape disease image recognition is an important part of agricultural disease detection. Accurately identifying diseases allows for timely prevention and control at an early stage, which plays a crucial role in reducing yield losses. This study addresses the problems in grape leaf disease re...

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Bibliographic Details
Main Authors: Ning Zhang, Enxu Zhang, Guowei Qi, Fei Li, Cheng Lv
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Grape leaf disease
Deep learning
Transformer
Lightweight model
Attention mechanisms
Online Access:https://doi.org/10.1038/s41598-025-13689-7
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https://doi.org/10.1038/s41598-025-13689-7

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