Erdogan, AlperenMutluoglu, OmerGursoy, Onder2025-06-112025-06-1120250378-78182477-9407https://doi.org/10.47280/RevFacAgron(LUZ).v42.n2.VIIhttps://hdl.handle.net/20.500.13091/10097Oilseed crops are among the product groups with a supply deficit in the world. The sunflower oil crisis experienced after 2020 ha increased the importance of sunflower cultivation. The most important stages in agricultural applications are to understand whether the plant is healthy in the early stages before it is formed and to prevent negative results in harvest. With the developing technology, the use of unmanned aerial vehicles (UAVs) and multispectral cameras in agricultural applications has gained enormous importance. Thanks to UAVs, agricultural temporal resolution can be adjusted according to the user's request, and spatial resolution can be adjusted according to the ability of the sensor used and the flight altitude. Spectral resolution is directly proportional to the number of bands and the band wavelength. We performed correlation analysis in this study by comparing the accuracy of the band values with ground measurements made with a spectroradiometer. We measured the sunflower in its vegetative, R-3, and R-5 phases and found that there was a strong correlation (r=0.894) in the green band, r=0.845 in the red, r=0.789 in the red edge (RE) band, and r=0.725 in the near infrared band (NIR). The results show a strong connection between the spectral bands and the spectroradiometer measurements, especially in the green and red bands.eninfo:eu-repo/semantics/openAccessSunflowerSpectroradiometerCorrelationMultispectral BandsUavArticle10.47280/RevFacAgron(LUZ).v42.n2.VII2-s2.0-105005464542