SLViT: Shuffle-convolution-based lightweight Vision transformer for effective diagnosis of sugarcane leaf diseases-Reference-Cited by-同舟云学术

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

Published:2022-09 Issue: Volume: Page:
ISSN:1319-1578
Container-title:Journal of King Saud University - Computer and Information Sciences
language:en
Short-container-title:Journal of King Saud University - Computer and Information Sciences

Author:

Li Xuechen,Li Xiuhua,Zhang Shimin,Zhang Guiying,Zhang Muqing,Shang Heyang

Funder

National Natural Science Foundation of China

Science and Technology Major Project of Guangxi

Publisher

Elsevier BV

Subject

General Computer Science

Reference71 articles.

1. A review on the main challenges in automatic plant disease identification based on visible range images;Barbedo;Biosyst. Eng.,2016

2. Tomato leaf disease classification using multiple feature extraction techniques;Basavaiah;Wireless Pers. Commun.,2020

3. Attention augmented convolutional networks;Bello,2019

4. A deep learning based approach for automated plant disease classification using vision transformer;Borhani;Sci. Rep.-UK,2022

5. Deep learning for tomato diseases: classification and symptoms visualization;Brahimi;Appl. Artif. Intell.,2017

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1. Effective plant disease diagnosis using Vision Transformer trained with leafy-generative adversarial network-generated images;Expert Systems with Applications;2024-11

2. Progresses in Sugarcane Leaf Defect Identification : A Review;International Journal of Scientific Research in Computer Science, Engineering and Information Technology;2024-09-05

3. LSGNet: A lightweight convolutional neural network model for tomato disease identification;Crop Protection;2024-08

4. S2AM: a sustainable smart agriculture model for crop protection based on deep learning;Journal of Plant Diseases and Protection;2024-06-16

5. Improved tomato leaf disease classification through adaptive ensemble models with exponential moving average fusion and enhanced weighted gradient optimization;Frontiers in Plant Science;2024-05-17

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