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dc.contributor.authorSaeidan, Ali
dc.contributor.otherFisk, Ian
dc.coverage.spatialUKen_UK
dc.date.accessioned2024-07-03T14:32:41Z
dc.date.available2024-07-03T14:32:41Z
dc.date.issued2024-07-03
dc.identifier.urihttps://rdmc.nottingham.ac.uk/handle/internal/11439
dc.description.abstractAphid data detailed in publications relating to "Ultrarapid real-time diagnostic tool of plant disease infection adapted for field deployment" projecten_UK
dc.language.isoenen_UK
dc.publisherThe University of Nottinghamen_UK
dc.rightsCC-BY*
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/*
dc.subject.lcshAphids -- Controlen_UK
dc.subject.lcshInsect pests -- Controlen_UK
dc.titleAphid Dataen_UK
dc.typedataseten_UK
dc.identifier.doihttp://doi.org/10.17639/nott.7432
dc.subject.freeAphid; imagingen_UK
dc.subject.jacsVeterinary Sciences, Agriculture & related subjects::Agriculture::Arable & fruit farming::Agricultural pests & diseasesen_UK
dc.subject.lcS Agriculture::SB Plant cultureen_UK
uon.divisionUniversity of Nottingham, UK Campusen_UK
uon.funder.controlledBiotechnology & biological Sciences Research Councilen_UK
uon.datatypeAphid dataen_UK
uon.grantBB/V017284/1en_UK
uon.collectionmethodHyperspectral imagingen_UK
uon.institutes-centresUniversity of Nottingham, UK Campusen_UK
uon.identifier.risproject4905900en_UK


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