Abstract
In nature, some tomato (Solanum lycopersicum) shapes appear to be ellipsoidal. This study aims to fit the ellipsoid tomato profile using explicit Preston's equation (EPE), and calculate its volume (V(pred)) and surface area (S) based on the estimated EPE's parameters. This method offers low-cost and non-destructive advantages compared to three-dimensional (3D) scanning. A total of 917 tomatoes from three cultivars were photographed, and the two-dimensional (2D) boundary coordinates of each fruit profile were digitized and then fitted using EPE. The results demonstrated that the EPE effectively fitted the tomato 2D-profile, with truss tomato ranking highest, followed by cherry, and then Qianxi. A significant relationship was found between V(pred) and observed volume (V(obs)) at the cultivar level. The 95% confidence intervals for the slopes for cherry tomatoes include 1.0, and for Qianxi were close to 1.0, which confirmed that these two cultivars were solids of revolution. Additionally, for cherry and Qianxi tomato, S is proportional to the V(obs) (i.e., S∝V(obs)(0.62~0.63)), V(pred) is proportional to (LW(2))(0.73~0.74), and S is proportional to (LW(2))(0.49) (L is the length and W is the maximum width). For any isometrically scaling solid of revolution, the theoretical exponent of surface area to volume is exactly 2/3. The observed exponent of 0.62-0.63 is a biological reality, which reveals that evolution has shaped organisms not for geometric similarity, but for functional optimization. This study can be extended to a geometry study on other egg-shaped fruits and provides a potentially simple method for calculating volume and surface area based on photographed 2D fruit profiles.