Precision fertilisation via spatio-temporal tensor multi-task learning and one-shot learning

Zhang, Y., Liu, K., Wang, X. et al. (2 more authors) (2024) Precision fertilisation via spatio-temporal tensor multi-task learning and one-shot learning. IEEE Transactions on AgriFood Electronics. pp. 1-10. ISSN 2771-9529

Abstract

Metadata

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

© 2024 The Author(s). Except as otherwise noted, this author-accepted version of a journal article published in IEEE Transactions on AgriFood Electronics 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: Multi-task learning; One-shot learning; Precision fertilisation; Real-world agricultural data; Spatio-temporal tensor
Dates:
  • Published: 11 December 2024
  • Published (online): 11 December 2024
  • Accepted: 10 October 2024
  • Submitted: 4 October 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
INNOVATE UK
10081615 TS/Y016483/1
INNOVATE UK
TS/V002953/1
Depositing User: Symplectic Sheffield
Date Deposited: 22 Oct 2024 13:21
Last Modified: 20 Dec 2024 10:43
Status: Published online
Publisher: Institute of Electrical and Electronics Engineers
Refereed: Yes
Identification Number: 10.1109/TAFE.2024.3485949
Open Archives Initiative ID (OAI ID):

Export

Statistics