Editorial: IoT, UAV, BCI empowered deep learning models in precision agriculture

Publication

dc.contributor.author	Lian, Jian
dc.contributor.author	Dias Pereira, José Miguel Costa
dc.date.accessioned	2025-03-20T12:29:11Z
dc.date.available	2025-03-20T12:29:11Z
dc.date.issued	2024-05
dc.identifier.citation	Lian, J. & Pereira, J. D. (2024). Editorial: IoT, UAV, BCI empowered deep learning models in precision agriculture. Frontriers in Plant Science, 15:1399753.
dc.identifier.doi	10.3389/fpls.2024.1399753
dc.identifier.issn	1664-462X
dc.identifier.uri	http://hdl.handle.net/10400.26/57368
dc.language.iso	eng
dc.peerreviewed	yes
dc.relation.hasversion	https://www.frontiersin.org/journals/plant-science/articles/10.3389/fpls.2024.1399753/full
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/
dc.subject	Internet of the Things
dc.subject	Unmanned Aerial Vehicle
dc.subject	Deep learning
dc.subject	Machine vision applications
dc.subject	Precision agriculture
dc.subject	Crop monitoring
dc.subject	Plant disease recognition and classification
dc.title	Editorial: IoT, UAV, BCI empowered deep learning models in precision agriculture	eng
dc.type	journal article
dspace.entity.type	Publication
oaire.citation.title	Frontiers in Plant Science
oaire.version	http://purl.org/coar/version/c_970fb48d4fbd8a85