Plant Disease Detection Using a Hybrid Approach Based on Vision Neural Network Transformers-Reference-Cited by-同舟云学术

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Plant Disease Detection Using a Hybrid Approach Based on Vision Neural Network Transformers

Published:2024-04-18 Issue: Volume: Page:1-6
ISSN:
Container-title:Proceedings of the 7th International Conference on Networking, Intelligent Systems and Security
language:
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Author:

Hajoub Mohamed walid¹^ORCID,Touil Hicham¹^ORCID,Achkari Begdouri Mohammed¹^ORCID

Affiliation:

1. Information System and Software Engineering Laboratory, Abdelmalek Essaadi University, Morocco and National School of Applied Sciences, Morocco

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3659677.3659685

Reference17 articles.

1. Visual Intelligence in Precision Agriculture: Exploring Plant Disease Detection via Efficient Vision Transformers

2. Vision transformer meets convolutional neural network for plant disease classification

3. Transformer helps identify kiwifruit diseases in complex natural environments

4. Lesion-aware visual transformer network for Paddy diseases detection in precision agriculture

5. Using Deep Learning for Image-Based Plant Disease Detection

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