Editorial: deep learning in crop diseases and insect pests

Chen, P., Wang, R. and Yang, P. orcid.org/0000-0002-8553-7127 (2023) Editorial: deep learning in crop diseases and insect pests. Frontiers in Plant Science, 14. 1145458. ISSN 1664-462X

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2023 Chen, Wang and Yang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms (https://creativecommons.org/licenses/by/4.0/).
Keywords: BigData analysis; crop diseases and insect pests; deep learning; feature representation; plant sensor
Dates:
  • Accepted: 27 January 2023
  • Published (online): 13 February 2023
  • Published: 13 February 2023
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Funding Information:
FunderGrant number
INNOVATE UKTS/V002953/1
Depositing User: Symplectic Sheffield
Date Deposited: 06 Mar 2023 11:49
Last Modified: 06 Mar 2023 11:49
Published Version: http://dx.doi.org/10.3389/fpls.2023.1145458
Status: Published
Publisher: Frontiers Media SA
Refereed: Yes
Identification Number: https://doi.org/10.3389/fpls.2023.1145458
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