Advances and Challenges in Computer Vision for Image-Based Plant Disease Detection: A Comprehensive Survey of Machine and Deep Learning Approaches-Reference-Cited by-同舟云学术

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Advances and Challenges in Computer Vision for Image-Based Plant Disease Detection: A Comprehensive Survey of Machine and Deep Learning Approaches

Published:2024 Issue: Volume: Page:1-32
ISSN:1545-5955
Container-title:IEEE Transactions on Automation Science and Engineering
language:
Short-container-title:IEEE Trans. Automat. Sci. Eng.

Author:

Qadri Syed Asif Ahmad¹^ORCID,Huang Nen-Fu²^ORCID,Wani Taiba Majid³,Bhat Showkat Ahmad⁴^ORCID

Affiliation:

1. College of Electrical Engineering and Computer Science, National Tsing Hua University, Hsinchu, Taiwan

2. Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan

3. Department of Computer, Control, and Management Engineering, Sapienza University of Rome, Rome, Italy

4. Department of Computer Science and the Center of Innovative Incubator, National Tsing Hua University, Hsinchu, Taiwan

Funder

National Science and Technology Council, Taiwan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/8856/4358066/10510235.pdf?arnumber=10510235

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multisource information fusion method for vegetable disease detection;BMC Plant Biology;2024-08-02

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