Computer Vision System in Identifying the Ripening Stages of Mango – Alphonso Cultivar

Abstract

In this paper identifying the ripening stages of mango which is nothing but the maturity stages of mango is carried out. Maturity is the most essential aspect in determining the storage life and quality of fruits such as mangoes. Fruit maturity could be identified by a variety of characteristics, the most important of which is the color of the skin. Human specialists typically use their eyes to discern the color of the fruit to determine its maturity stage, that is susceptible to inaccuracy. A digital image processing method for classification of mangoes is provided in this paper. There are a total collection of 1463 mango images belonging to all ripe stages, that is, fully ripen, partially ripe and raw mango. A total of 12 features were extracted using various color models. Classifiers have been applied after extracting colour features and 98.97 %, 98. 46 % and 98.2 % accuracies were achieved using SVM, KNN and decision tree respectively.