Grading of Pomegranate Using Quality Analysis

Abstract: Over the world, India is the largest producer of pomegranate. India produces excellent varieties of pomegranate having soft seeds, very less acids and very attractive colours of fruits and grains. There is tremendous potential for exports of pomegranates from India. Quality grading of pomegranate is an important operation in the export of the pomegranate. Generally external appearance of the fruit decides the quality of the fruit. The fruit with bright colour, good texture and shape is quickly chosen by the customer. Though pomegranate can be qualified or graded manually, it is insufficient method which consumes more time also. Automated grading system quickly grades the pomegranate according to quality of the fruit with no errors. This paper discusses the machine vision approach to form a quality grading analysis system. Keywords: Image acquisition, Image Pre-processing, Image segmentation, and feature extraction, ANN (Artificial Neural Network)