An effective farmer-centred mobile intelligence solution using lightweight deep learning for integrated wheat pest management

Li, S., Yuan, Z., Peng, R. et al. (4 more authors) (2024) An effective farmer-centred mobile intelligence solution using lightweight deep learning for integrated wheat pest management. Journal of Industrial Information Integration, 42. 100705. ISSN 2467-964X

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Item Type: Article
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Copyright, Publisher and Additional Information:

© 2024 The Authors. Except as otherwise noted, this author-accepted version of a journal article published in Journal of Industrial Information Integration is made available via the University of Sheffield Research Publications and Copyright Policy under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/

Keywords: Integrated pest management; Deep learning; Expert system; Smart agriculture; Tiny object detection
Dates:
  • Published: November 2024
  • Published (online): 25 October 2024
  • Accepted: 10 October 2024
  • Submitted: 8 March 2023
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Funding Information:
Funder
Grant number
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL
UNSPECIFIED
INNOVATE UK
10050919 TS/X014096/1
INNOVATE UK
10076558 TS/Y008626/1
INNOVATE UK
10123768 TS/Z00747X/1
Depositing User: Symplectic Sheffield
Date Deposited: 22 Oct 2024 13:03
Last Modified: 07 Nov 2024 11:50
Status: Published
Publisher: Elsevier
Refereed: Yes
Identification Number: 10.1016/j.jii.2024.100705
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