Fruit Shape Classification in Cantaloupe (cv. Samsouri) Using the Analysis of Geometrical Attributes
Classification of fruit shape is vital in evaluating agricultural produce, meeting quality standards and increasing market value. It is also helpful in planning packaging, transportation and marketing operations. Misshapen fruits are generally rejected according to sorting standards of fruit. Therefore, this study was carried out to establish quantitative algorithm for classification of fruit shape in cantaloupe (Cucumis melo) and to determine detection algorithm for misshapen cantaloupes. Geometrical attributes and some physical characteristics of cantaloupe such as length, major diameter, minor diameter, mass, volume and density were measured. To achieve objective and reproducible results, an assessment based on geometrical attributes analysis was proposed. Significant differences in fruit shape parameters i.e. length to lateral geometric mean diameter ratio (roundness ratio) and major diameter to minor diameter ratio (ellipsoid ratio) were detected between fruit shapes. The results of the study indicated that roundness ratio and ellipsoid ratio can be used successfully to classify fruit shape and determine normal and misshapen fruit.