Classification of papaya crispiness based on mechanical properties

Abstract

This research investigated an objective technique for the classification of papaya varieties based on crispiness. Five varieties of papaya were sampled with variation in crispiness. The papaya samples were mechanically tested using texture profile analysis and rectangular blade cutting methods. Discriminant analysis based on the mechanical properties measured using rectangular blade cutting was performed to develop a classification model. The obtained discriminant model was capable of classifying the papaya samples into five different groups with an accuracy of 82.4%.