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

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dc.contributor.authorRadócz, László
dc.contributor.authorSápi, Levente
dc.contributor.authorZagyi, Péter
dc.contributor.authorHorváth, Éva
dc.contributor.authorTamás, András
dc.date.accessioned2023-02-20T13:24:21Z
dc.date.available2023-02-20T13:24:21Z
dc.date.issued2022-12-06
dc.description.abstractIn 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
dc.formatapplication/pdf
dc.identifier.citationActa Agraria Debreceniensis, No. 2 (2022) , 31-35
dc.identifier.doihttps://doi.org/10.34101/actaagrar/2/10367
dc.identifier.issn2416-1640
dc.identifier.issue2
dc.identifier.jatitleActa agrar. Debr.
dc.identifier.jtitleActa Agraria Debreceniensis
dc.identifier.urihttps://hdl.handle.net/2437/345921en
dc.languageen
dc.relationhttps://ojs.lib.unideb.hu/actaagrar/article/view/10367
dc.rights.accessOpen Access
dc.rights.ownerby the Author(s)
dc.subjectremote sensingen
dc.subjectdiseaseen
dc.subjectmaizeen
dc.subjectustilago maydisen
dc.subjectvegetation indicesen
dc.titleAnalysis of the plant physiological effects of late, artificial corn smut infestation using remote sensing methodsen
dc.typefolyóiratcikkhu
dc.typearticleen
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