SLViT: Shuffle-convolution-based lightweight Vision transformer for effective diagnosis of sugarcane leaf diseases

SLViT: Shuffle-convolution-based lightweight Vision transformer for effective diagnosis of sugarcane leaf diseases

Farmers must accurately and promptly identify sugarcane leaf diseases with identical symptoms. RGB images have a beneficial function in disease identification. Nevertheless, complex backgrounds and identical symptoms can significantly reduce the recognition accuracy and robustness. To overcome these...

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Bibliographic Details
Main Authors: Xuechen Li, Xiuhua Li, Shimin Zhang, Guiying Zhang, Muqing Zhang, Heyang Shang
Format: Article
Language:English
Published: Elsevier 2023-06-01
Series:Journal of King Saud University: Computer and Information Sciences
Subjects:
Sugarcane leaf disease
Lightweight model
CNN
Vision Transformer
Plant Village
Online Access:http://www.sciencedirect.com/science/article/pii/S1319157822003421

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http://www.sciencedirect.com/science/article/pii/S1319157822003421

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