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Analysis of hyperspectral images for detection of drought stress and recovery in maize plants in a high-throughput phenotyping platform

dc.contributor.authorShahrimie Mohd Asaari, Mohd
dc.contributor.authorMertens, Stien
dc.contributor.authorDhondt, Stijn
dc.contributor.authorInze, Dirk
dc.contributor.authorWuyts, Nathalie
dc.contributor.authorScheunders, Paul
dc.date.accessioned2021-10-27T17:57:52Z
dc.date.available2021-10-27T17:57:52Z
dc.date.issued2019
dc.identifier.issn0168-1699
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/33973
dc.sourceIIOimport
dc.titleAnalysis of hyperspectral images for detection of drought stress and recovery in maize plants in a high-throughput phenotyping platform
dc.typeJournal article
dc.contributor.imecauthorScheunders, Paul
dc.source.peerreviewyes
dc.source.beginpage749
dc.source.endpage758
dc.source.journalComputers and Electronics in Agriculture
dc.source.volume162
dc.identifier.urlhttps://doi.org/10.1016/j.compag.2019.05.018
imec.availabilityPublished - imec


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