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Abstract
This thesis presents an automated classification approach based on machine learing techniques for estimating and classifiying the different maturity / ripeness stages of tomato and bell pepper . The proposed approach consists of three phases that are pre-processing, feature extraction . and classification phascs . Surface color of tomato and bell pepper is the most important characteristic to observe ripeness