An improved obstacle separation method using deep learning for object detection and tracking in a hybrid visual control loop for fruit picking in clusters

dc.contributor.author	Xiong, Ya
dc.contributor.author	Ge, Yuanyue
dc.contributor.author	From, Pål Johan
dc.date.accessioned	2021-11-24T11:18:39Z
dc.date.available	2021-11-24T11:18:39Z
dc.date.created	2021-11-19T12:17:12Z
dc.date.issued	2021
dc.identifier.issn	0168-1699
dc.identifier.uri	https://hdl.handle.net/11250/2831261
dc.language.iso	eng
dc.title	An improved obstacle separation method using deep learning for object detection and tracking in a hybrid visual control loop for fruit picking in clusters
dc.type	Peer reviewed
dc.type	Journal article
dc.description.version	publishedVersion
dc.source.volume	191
dc.source.journal	Computers and Electronics in Agriculture
dc.identifier.doi	10.1016/j.compag.2021.106508
dc.identifier.cristin	1956418
cristin.ispublished	true
cristin.fulltext	original
cristin.qualitycode	2