Investigation of the Detectability of Corn Smut Fungus (Ustilago maydis DC. Corda) Infection Based on UAV Multispectral Technology

Corn smut fungus (Ustilago maydis [DC.] Corda) is a globally widespread pathogen affecting both forage and sweet maize hybrids, with higher significance in maize. Remote sensing technologies demonstrated favorable results for disease monitoring on the field scale. The study focused changes vegetation index (VI) values influenced by pathogen. In this study, four two hybrids were examined. Artificial infection was carried out at three different doses: low (2500 sporidium number/mL), medium (5000 number/mL) high dose (10,000 non-infected control plot each hybrid. experimental plots monitored using multispectral UAV sensor of five monochrome channels dates, i.e., 7, 14 21 days after infection. Five indices (NDVI, GNDVI, ENDVI, LCI, NDRE) determined Quantum GIS 3.20. obtained that had significant effect VI hybrids. A high-dose Dessert R 73 hybrid resulted significantly lower compared to LCI GNDVI). case NOA GNDVI ENDVI able show differences between levels.