Bardak, TimucinBardak, Selahattin2025-03-232025-03-2320171302-09002147-9429https://doi.org/10.2339/politeknik.369132https://hdl.handle.net/11486/4838Density is an important wood property since it correlates to mechanical properties of wood. Fuzzy logic, among the various available Artificial Intelligence techniques, emerges as a good technique in predicting. Digital image analysis is an powerful tool to obtain meaningful data out of an image. In this study, digital image processing based on a red-green-blue (RGB) color examination was practiced to measure the intensity of wood color. Densities of the test samples were measured. Then, a new fuzzy logic model was developed based on these measured values and RGB color intensity of wood. Afterwards, the experimental and modeling data results were compared. 98.17% accuracy was observed between the measurement and the fuzzy logic model. Consequently, Fuzzy logic is visable method for the prediction of the wood density.eninfo:eu-repo/semantics/openAccessFuzzy logiccolorwooddensityimagingArticle20497998410.2339/politeknik.369132N/AWOS:000447838500026N/A