Machine vision based automatic fruit grading system using fuzzy algorithm

The present paper proposes a machine vision based scheme for automatic grading of fruits according to their maturity level and quality. The fruit used in the study is mango (Mangifera Indica L.). The manual grading by visual inspection poses problems in maintaining consistency and accuracy; this is also time consuming and labor intensive process. In this project a new prototype computer vision based automatic fruit grading systems is proposed. The automated system collects video image from the CCD camera placed on the top of a conveyer belt carrying mangoes, then it processes the images in order to collect several relevant features which are sensitive to the maturity level and quality. Finally fuzzy rule based algorithm is used to sort the fruits into four grades.