No abstract

In this study mass and surface area of pomegranate fruit were predicted with using different physical characteristics in linear models classified as follows: (1) Single or multiple variable regressions of pomegranate dimensional characteristics, (2) Single or multiple variable regressions of pomegranate projected areas, (3) Single regression of pomegranate mass based on measured (actual) volume and volumes of shapes assumed (oblate spheroid and ellipsoid). The results showed that in the first classification of single variable mass modeling of pomegranate based on dimension, the highest determining coefficient was obtained as R 2 =0.95 based on geometric mean diameter M = -528 + 10.7 Dg while that was as R 2 =0.96 for multiple variable models. Also, there was a very good relationship between mass and measured volume of pomegranates for the two varieties with R 2 as 0.97 (highest R 2 value among all the models). At least, the models which predict mass of pomegranates based on estimated volume, the shape of pomegranates considered as spheroid and elliptical were found to be the most appropriate models.