Abstract
Color is one of the elements to determine the level of maturity of the fruit because each level of maturity of the fruit has a different color level. At present, the dragon fruit is only classified based on a visual analysis of the skin color of the human eye. This study aims to classify dragon fruit using image processing with the naïve Bayes method based on HSV color space. The color feature used in this study is RGB which has been converted to an HSV value, after getting an HSV value then classified using the naïve Bayes method. Image data used amounted to 120 training images and 30 test images. The results of the classification of dragon fruit using the naïve Bayes method based on HSV color space can show an accuracy rate of 86.6%.
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