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- W2185281504 abstract "In this study, eighteen linear regression models for modeling apricot mass based on some geometrical properties of apricot such as major diameter (a), intermediate diameter (b), minor diameter (c), geometrical mean diameter (GMD), first projected area (PA ), second projected area (PA ), third projected area (PA ), criteria area 1 2 3 (CAE), estimated volume based on an ellipsoid assumed shape (V ) and measured volume (V ) were suggested. Ell M Models were divided into three main classifications, i.e. first classification (outer dimensions), second classification (projected areas) and third classification (volumes). The statistical results of the study indicated that in order to predict apricot mass based on outer dimensions, the mass model based on GMD as M = - 26.79 + 1.45 GMD with R = 0.93 can be recommended. Moreover, to predict apricot mass based on projected areas, 2 utilized. These models can also be used to design and develop sizing machines equipped with an image processing system." @default.
- W2185281504 created "2016-06-24" @default.
- W2185281504 creator A5001188400 @default.
- W2185281504 date "2011-01-01" @default.
- W2185281504 modified "2023-09-27" @default.
- W2185281504 title "Modeling of Apricot Mass Based on Geometrical Properties" @default.
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