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Supervised detection of Alternaria solani on ultra-high-resolution modified RGB UAV images

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dc.contributor.authorWieme, Jana
dc.contributor.authorLeroux, Sam
dc.contributor.authorCool, Simon
dc.contributor.authorPieters, Jan
dc.contributor.authorMaes, Wouter
dc.contributor.imecauthorWieme, Jana
dc.contributor.imecauthorLeroux, Sam
dc.contributor.imecauthorMaes, Wouter
dc.contributor.orcidimecLeroux, Sam::0000-0003-3792-5026
dc.contributor.orcidimecMaes, Wouter::0000-0001-7883-3393
dc.date.accessioned2023-06-09T08:53:34Z
dc.date.available2022-12-15T03:12:59Z
dc.date.available2022-12-15T11:12:50Z
dc.date.available2023-06-09T08:53:34Z
dc.date.embargo2022-09-08
dc.date.issued2022
dc.description.wosFundingTextJ.W. is funded by grant 1SE3921N of Research Foundation Flanders (FWO). Experimental data was gathered within the Proeftuin Smart Farming 4.0 project (180503) within the Industry 4.0 Living Labs with funding from Flanders innovation & entrepreneurship (VLAIO, Belgium) and in the Horizon 2020 project SmartAgriHubs -Connecting the dots to unleash the innovation potential for digital transformation of the European agrifood sector with funding from the European Union under grant agreement No. 818182.
dc.identifier.doi10.1117/12.2638911
dc.identifier.eisbn978-1-5106-5528-7
dc.identifier.isbn978-1-5106-5527-0
dc.identifier.issn0277-786X
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/40875
dc.publisherSPIE-INT SOC OPTICAL ENGINEERING
dc.source.beginpage122620U
dc.source.conferenceConference on Remote Sensing for Agriculture, Ecosystems, and Hydrology XXIV Part of SPIE Remote Sensing Conferene
dc.source.conferencedateSEP 05-07, 2022
dc.source.conferencelocationBerlin
dc.source.journalProceedings of SPIE
dc.source.numberofpages8
dc.source.volume12262
dc.title

Supervised detection of Alternaria solani on ultra-high-resolution modified RGB UAV images

dc.typeProceedings paper
dspace.entity.typePublication
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