Editorial: Fruit detection and yield prediction on woody crops using data from unmanned aerial vehicles
Front Plant Sci
.
2022 Dec 13:13:1112445.
doi: 10.3389/fpls.2022.1112445.
eCollection 2022.
Authors
Jorge Torres-Sánchez
1
,
Jefferson Souza
2
,
Salvatore Filippo di Gennaro
3
,
Francisco Javier Mesas-Carrascosa
4
Affiliations
1
imaPing Group, Institute for Sustainable Agriculture (IAS-CSIC), Cordoba, Spain.
2
Faculty of Computing, Federal University of Uberlandia, Uberlandia, Brazil.
3
Institute for Bioeconomy, Department of Biology, Agriculture and Food Sciences, National Research Council (CNR), Sesto Fiorentino, Italy.
4
4Department of Graphic Engineering and Geomatics, University of Cordoba, Cordoba, Spain.
PMID:
36582641
PMCID:
PMC9792991
DOI:
10.3389/fpls.2022.1112445
No abstract available
Keywords:
UAV; deep learning; image analysis; machine learning - ML; precision agriculture (PA).
Publication types
Editorial