Freshness Detection Of Snake Fruit Using A Combination Of Gaussian Classifier and FCM

This research is focused on developing analysis to handle the problem of freshness detection of snake fruit variant pondoh. Snake fruit has a change of color and a shape that is not very significant if viewed from the skin, but naturally in the Snake fruit has a sign of minor changes that can be used as a benchmark of the freshness level of snake fruit in the head of white skin on the snake fruit will change color from white to dark color, this change signifies the process of rotting in snake fruit. Thus developed the detection of the freshness level of snake fruit by implementing a combination of Gaussian classifier and fuzzy c-mean in the analysis of browning index, texture and color contrast by taking a sample of snake fruit image. The results of this research can be used to help see the freshness of snake fruit without having to peel its skin. From the manual way to see the freshness of snake fruit the way it is seen, smelled and pressed fruit this can make the fruit contaminated and reduce the freshness of snake fruit, which in this research can be shortened the process and represented by taking snake fruit image only.