Prediction of egg mass based on geometrical attributes

Abstract

Eggs are often graded on the basis of size, but it may be more suitable and economical to develop a system which grades by mass. Thus, a relationship between egg mass and some geometrical attributes of egg is needed. In this study, nine linear regression models for predicting egg mass from some geometrical attributes of egg such as length (L), diameter (D), geometrical mean diameter (GMD), first projected area (PA1), second projected area (PA2), criteria area (CAE) and estimated volume or volume calculated from an oblate spheroid assumed shape (VOSP) were suggested. Models were divided into three main classifications and the egg mass was estimated as a function of some independent variables. The statistical results of the study indicated that in order to predict egg mass based on outer dimensions, the mass model based on geometrical mean diameter as M = 24.42 + 1.67 GMD with R = 0.595, and the mass model based on length and diameter as M = 27.81 + 0.69 L + 1.01 D with R = 0.619 can be recommended. Also, to predict egg mass based on projected areas, the mass model based on the first projected area as M = 13.12 + 2.16 PA1 with R = 0.599 can be suggested. These models can be used to design and develop sizing machines equipped with an image processing