Food processing industries plays a vital role for the development of our country. Mango is one of the economical fruit because of its nutrient dense foods. In general, ripening stage classification done by human experts which is strenuous process and a challenging task for food processing industry. A machine learning approach for ripening stage classification has been proposed. A MATLAB based implementation shows that Ensemble classifier outperform their counter parts discriminant classifier in terms confusion matrix, average accuracy, precision, recall, specificity and F-score.So,Maturity index classification of mango plays very important role to get to know about shelf life of mangoes. Thus this paper proposes effective mango fruit grading using machine learning approaches.