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 |