Analysis of the plant physiological effects of late, artificial corn smut infestation using remote sensing methods

A tétel rövid nézete
dc.creatorRadócz, László
dc.creatorSápi, Levente
dc.creatorZagyi, Péter
dc.creatorHorváth, Éva
dc.creatorTamás, András
dc.date2022-12-06
dc.date.accessioned2023-02-20T13:24:21Z
dc.date.available2023-02-20T13:24:21Z
dc.descriptionIn Hungary, corn is also infected by several important pathogens. In this experiment, we analysed the plant physiological effects of artificial late cron smut infestation using remote sensing methods under field conditions We examined the experimental area from which the data comes from with a DJI Phantom 4 Multispectral Drone NDVI and NDRE indices were calculated and analyzed in GIS programs. Individuals treated with a higher dose remained much greener than the untreated control. They also showed significant differences within the indices used.en-US
dc.formatapplication/pdf
dc.identifierhttps://ojs.lib.unideb.hu/actaagrar/article/view/10367
dc.identifier10.34101/actaagrar/2/10367
dc.identifier.urihttps://hdl.handle.net/2437/345921
dc.languageeng
dc.publisherFaculty of Agricultural and Food Sciences and Enviromental Management of the Debrecen University, Debrecen.en-US
dc.relationhttps://ojs.lib.unideb.hu/actaagrar/article/view/10367/10651
dc.rightsCopyright (c) 2022 Acta Agraria Debreceniensisen-US
dc.rightshttps://creativecommons.org/licenses/by/4.0en-US
dc.sourceActa Agraria Debreceniensis; No. 2 (2022); 31-35en-US
dc.source2416-1640
dc.source1587-1282
dc.subjectremote sensingen-US
dc.subjectdiseaseen-US
dc.subjectmaizeen-US
dc.subjectustilago maydisen-US
dc.subjectvegetation indicesen-US
dc.titleAnalysis of the plant physiological effects of late, artificial corn smut infestation using remote sensing methodsen-US
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typePeer-reviewed Articleen-US
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Acta Agraria Debreceniensis