Fuzzy Logic-Based Size and Ripeness Classification of Banana using Image Processing Technique

Abstract

The grading of banana ripeness and size are currently done manually by farmers and vendors following a certain process. It will assist producers grade the fruit, sellers set the best price, and customers get the most for their money if a system to automatically categorize bananas is proposed and developed. In this study, the size and maturity of bananas were classified using image processing and fuzzy logic techniques in MATLAB. This paper is segmented into five stages which are the image pre-processing, image processing, determination of length and thickness, size classification and ripeness classification. The metrics of length and thickness were used to classify banana sizes, while methods of image processing such as color segmentation and calculating the intensity of mean color based on RGB were used to classify banana ripeness. The classification of the banana was done using fuzzy logic in the decision-making process.