HI from the Sky: Estimating harvest index from UAVs combined with machine learning

Burgess, Alexandra J

doi:10.1093/plphys/kiad611

HI from the Sky: Estimating harvest index from UAVs combined with machine learning

Burgess, Alexandra J

Authors

Dr Alexandra Gibbs Alexandra.Gibbs@nottingham.ac.uk
Assistant Professor in Agriculture and the Environment

Citation

Burgess, A. J. (2024). HI from the Sky: Estimating harvest index from UAVs combined with machine learning. Plant Physiology, 194(3), 1257-1259. https://doi.org/10.1093/plphys/kiad611

Journal Article Type	Article
Acceptance Date	Nov 9, 2023
Online Publication Date	Nov 14, 2023
Publication Date	2024-03
Deposit Date	Nov 20, 2023
Publicly Available Date	Nov 23, 2023
Journal	Plant Physiology
Print ISSN	0032-0889
Electronic ISSN	1532-2548
Publisher	American Society of Plant Biologists
Peer Reviewed	Not Peer Reviewed
Volume	194
Issue	3
Pages	1257-1259
DOI	https://doi.org/10.1093/plphys/kiad611
Keywords	Plant Science; Genetics; Physiology
Public URL	https://nottingham-repository.worktribe.com/output/27379109
Publisher URL	https://academic.oup.com/plphys/article/194/3/1257/7420157
Additional Information	© The Author(s) 2023. Published by Oxford University Press on behalf of American Society of Plant Biologists. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.