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dc.contributor.authorSu, Jinya
dc.contributor.authorYi, Dewei
dc.contributor.authorSu, Baofeng
dc.contributor.authorMi, Zhiwen
dc.contributor.authorLiu, Cunjia
dc.contributor.authorHu, Xiaoping
dc.contributor.authorXu, Xiangming
dc.contributor.authorGuo, Lei
dc.contributor.authorChen, Wen-Hua
dc.date.accessioned2021-03-09T00:14:00Z
dc.date.available2021-03-09T00:14:00Z
dc.date.issued2021-03
dc.identifier.citationSu , J , Yi , D , Su , B , Mi , Z , Liu , C , Hu , X , Xu , X , Guo , L & Chen , W-H 2021 , ' Aerial Visual Perception in Smart Farming : Field Study of Wheat Yellow Rust Monitoring ' , IEEE Transactions on Industrial Informatics , vol. 17 , no. 3 , pp. 2242-2249 . https://doi.org/10.1109/TII.2020.2979237en
dc.identifier.issn1551-3203
dc.identifier.otherPURE: 160820549
dc.identifier.otherPURE UUID: 3185d77c-cde6-49b3-b514-2202588df622
dc.identifier.otherORCID: /0000-0003-1702-9136/work/72175469
dc.identifier.otherScopus: 85097709443
dc.identifier.otherWOS: 000597195500068
dc.identifier.urihttps://hdl.handle.net/2164/15997
dc.descriptionThis work was supported by Science and Technology Facilities Council (STFC) under Newton fund with Grant No. ST/N006852/1.en
dc.format.extent8
dc.language.isoeng
dc.relation.ispartofIEEE Transactions on Industrial Informaticsen
dc.rights© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en
dc.subjectdeep learningen
dc.subjectmultispectral imageen
dc.subjectprecision agricultureen
dc.subjectsemantic segmentationen
dc.subjectU-neten
dc.subjectunmanned aerial vehicle (UAV)en
dc.subjectDeep learningen
dc.subjectU-Neten
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectInformation Systemsen
dc.subjectElectrical and Electronic Engineeringen
dc.subjectControl and Systems Engineeringen
dc.subjectComputer Science Applicationsen
dc.subjectSTFC - Science and Technology Facilities Councilen
dc.subjectST/N006852/1en
dc.subject.lccQA75en
dc.titleAerial Visual Perception in Smart Farming : Field Study of Wheat Yellow Rust Monitoringen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Computing Scienceen
dc.contributor.institutionUniversity of Aberdeen.Computer Science and Informaticsen
dc.description.statusPeer revieweden
dc.description.versionPostprinten
dc.identifier.doihttps://doi.org/10.1109/TII.2020.2979237
dc.date.embargoedUntil2021-03-09
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85097709443&partnerID=8YFLogxKen


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