Improving Computer Vision for Plant Pathology through Advanced Training Techniques

Sykes, Jamie, Denby, Katherine orcid.org/0000-0002-7857-6814 and Franks, Daniel Wayne orcid.org/0000-0002-4832-7470 (2025) Improving Computer Vision for Plant Pathology through Advanced Training Techniques. Applications in Plant Sciences. ISSN 2168-0450

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Item Type: Article
Authors/Creators:
Copyright, Publisher and Additional Information:

© 2025 The Author(s).

Keywords: computer vision,disease detection,machine learning,semi‐supervised learning
Dates:
  • Accepted: 5 February 2025
  • Published (online): 7 June 2025
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Computer Science (York)
The University of York > Faculty of Sciences (York) > Biology (York)
Depositing User: Pure (York)
Date Deposited: 02 Jul 2025 15:10
Last Modified: 02 Jul 2025 15:10
Published Version: https://doi.org/0.1002/aps3.70010
Status: Published online
Refereed: Yes
Identification Number: 0.1002/aps3.70010
Open Archives Initiative ID (OAI ID):

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Filename: Appl_Plant_Sci_-_2025_-_Sykes_-_Improving_computer_vision_for_plant_pathology_through_advanced_training_techniques.pdf

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