Tailoring convolutional neural networks for custom botanical data

Denby, Katherine orcid.org/0000-0002-7857-6814, Franks, Daniel Wayne orcid.org/0000-0002-4832-7470 and Sykes, Jamie (2025) Tailoring convolutional neural networks for custom botanical data. Applications in Plant Sciences. e11620. ISSN: 2168-0450

Metadata

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

© 2024 The Author(s).
Dates:
  • Accepted: 10 June 2024
  • Published (online): 21 October 2024
  • Published: 2025
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Biology (York)
The University of York > Faculty of Sciences (York) > Computer Science (York)
Depositing User: Pure (York)
Date Deposited: 25 Nov 2024 12:50
Last Modified: 20 Sep 2025 02:19
Published Version: https://doi.org/10.1002/aps3.11620
Status: Published
Refereed: Yes
Identification Number: 10.1002/aps3.11620
Open Archives Initiative ID (OAI ID):

Download

Published Version

Filename: Appl_Plant_Sci_-_2024_-_Sykes_-_Tailoring_convolutional_neural_networks_for_custom_botanical_data.pdf

Description: Appl Plant Sci - 2024 - Sykes - Tailoring convolutional neural networks for custom botanical data

Licence: CC-BY 2.5

CLICK TO DOWNLOAD [thumbnail of Appl Plant Sci - 2024 - Sykes - Tailoring convolutional neural networks for custom botanical data]

Export

Statistics


CORE (COnnecting REpositories)