Correlation of the Grapevine (Vitis vinifera L.) Leaf Chlorophyll Concentration with RGB Color Indices

Spectral investigation of the canopy has an increasing importance in precision viticulture to monitor effect biotic and abiotic stress factors. In this study, RGB (color model, red, green, blue)-based vegetation indices were evaluated find a correlation with grapevine leaf chlorophyll concentration. ‘Hárslevelű’ (Vitis vinifera L.) samples obtained from commercial vineyard digitalized. The concentration was determined portable meter. Image processing color analyses performed determine average values digitized samples. According values, 31 calculated test multivariate regression. Pearson between most significant (p < 0.01), some exceptions. same results Spearman as relationship had high significance 0.01) for indices. highest index PCA2 (Principal Component Analysis 2), while RMB (difference red blue) GMB green blue). regression model also showed pigmentation. We consider that our would be applicable future receive information about physiological status monitored on-the-go sensors.