Tomatoes selection system based on fruit maturity level using digital color analysis method

Tomatoes that are being distributed to the market require certain level of maturity. Determination of maturity requires classification. Automatic tomato classification is the process of sorting tomatoes into different classes using machine vision and image processing. Tomatoes have two types of pigments used for photosynthesis. In the early stage of maturity, tomatoes are green color due to high chlorophyll level. As the tomatoes mature, chlorophyll will dissolve and begin to disappear. The loss of chlorophyll, the lycopene that has a red color will be clearly visible on the tomatoes. The color system used is RGB, then threshold, color analysis, and the final step is the perception of color. It can be concluded that image processing can be used to determine the selection of tomato maturity based on the color. Variables that can be used to determine the maturity level of tomatoes is the ration of the RGB value obtained by the image.