Monitoring Growth Status of Winter Oilseed Rape by NDVI and NDYI Derived from UAV-Based Red–Green–Blue Imagery

The current study aimed to evaluate the potential of normalized difference vegetation index (NDVI), and yellowness (NDYI) derived from red–green–blue (RGB) imaging monitor growth status winter oilseed rape seeding ripening stage. Subsequently, collected values were used their correlations with yield rape. Field trials three seed densities nitrogen rates conducted for two years in Salzdahlum, Germany. images rapidly taken by an unmanned aerial vehicle carrying a Micasense Altum multi-spectral camera at 25 m altitudes. NDVI NDYI each plot calculated reflectance RGB near-infrared (NIR) bands’ wavelengths pictured reconstructed segmented ortho-mosaic. findings support phenotyping data time series precise phenological monitoring all stages, such as seedling stage crop before winter, formation side shoots stem elongation after flowering stage, maturity, ripening, senescence stages according calendar. However, comparing correlation results between final yield, turn out be more reliable than real-time remote sensing whole season area. In contrast, revealed that value is suitable genotypes during stages.