GLNet: global-local feature network for wheat leaf disease image classification

GLNet: global-local feature network for wheat leaf disease image classification

Addressing the issues with insufficient multi-scale feature perception and incomplete understanding of global information in traditional convolutional neural networks for image classification of wheat leaf disease, this paper proposes a global local feature network, i.e. GLNet, which adopts a unique...

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Bibliographic Details
Main Authors: Shangze Li, Shen Liu, Mingyu Ji, Yuhao Cao, Bai Yun
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-12-01
Series:Frontiers in Plant Science
Subjects:
convolutional neural network
wheat leaf disease
image classification
multiscale features
GLNet model
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2024.1471705/full
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