Analysis of the plant physiological effects of late, artificial corn smut infestation using remote sensing methods
Dátum
Szerzők
Radócz, László
Sápi, Levente
Zagyi, Péter
Horváth, Éva
Tamás, András
Folyóirat címe
Folyóirat ISSN
Kötet címe (évfolyam száma)
Kiadó
Faculty of Agricultural and Food Sciences and Enviromental Management of the Debrecen University, Debrecen.
Absztrakt
Leírás
In 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.
Kulcsszavak
remote sensing, disease, maize, ustilago maydis, vegetation indices