Akademik Veri Yönetim Sistemi
FRESENIUS ENVIRONMENTAL BULLETIN, cilt.27, sa.5A, ss.3789-3795, 2018 (SCI-Expanded)
This study was conducted to investigate the predictability of chlorophyll concentrations using some vegetation indices in sorghum plants. Nitrogen and phosphorus fertilization were applied to the parcels at different doses in order to create variations in the study. Chlorophyll values were determined by chlorophyll meter and spectral reflectance values were determined by spectroradiometer. The obtained wavelength from reflectance values are used both in the indexes provided in the literature and in the indexes determined in this study. Later, linear regression analysis was applied to the measured chlorophyll values and estimated chlorophyll values calculated with using indexes, regression coefficients were determined and prediction models were established. As a result of the regression analysis, significant correlations were determined between estimated chlorophyll values and measured chlorophyll values. It has also been found that the wave lengths in the majority of the indexes, especially in the red and infrared regions of the spectrum, are important for chlorophyll estimates. The results of the study show that chlorophyll levels can be predicted with high accuracy using the vegetation indexes.