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

Absztrakt

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.

Leírás
Kulcsszavak
idegen nyelvű folyóiratközlemény hazai lapban, remote sensing, disease, maize, ustilago maydis, vegetation indices
Jogtulajdonos
Jelzet
Egyéb azonosító
Forrás
Agrártudományi közlemények = Acta agraria Debreceniensis. -2/2022 : 2 (2022), p. 31-35. -Agrártud. közl. -1587-1282
Támogatás
EFOP-3.6.3-VEKOP-16-2017-00008 -- EFOP
TKP2020-IKA-04 -- Egyéb