There are instances in which it is desirable to determine the relationships between various physical attributes of fruit. For example, fruits are often graded on the basis of size and projected area, but it may be more economical to develop a machine which would grade by mass or volume. Therefore, the relationships between mass/volume (either mass or volume) and other physical attributes of fruit are needed. In this study, three Iranian local varieties of loquat fruits were selected and the various models for predicting mass/volume of loquat fruit from its dimensions, projected area and volume/mass were established. The models were divided into three classes: 1. single and multiple variable regressions of loquat fruit dimensions, 2. single and multiple variable regressions of projected areas, 3. estimating loquat fruit mass/volume based on its volume/mass. The results revealed that mass and volume modeling on the basis of intermediate diameter, on any projected area, and the measured volume are the best models. Based on the results, mass and volume modeling, respectively on the basis of the actual volume and one projected area, were identified as the best models. The highest determination coefficient in all the models was obtained for mass modeling based on measured volume as R2 = 0.99. Finally, volume modeling from an economical standpoint was recommended as the most reliable modeling.
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