Modeling the Mass of Banana Fruit by Geometrical Attributes
Modeliranje mase banana geometrijskim atributima
View/ Open
Author
Sulthan, Shahir
Rangaraju, Visvanathan
Vijayaram, Eyarkai Nambi
Veerapandian, Chandrasekar
Keywords
banana fruitmass models
physical properties
dimensions
geometrical attributes
banane
maseni modeli
fizičke osobine
dimenzije
geometrijski atributi
Metadata
Show full item recordAbstract
Mathematical modeling was done to predict mass of the banana fruit
var. Grand Nain from the physical characteristics like length, width, thickness, volume, geometrical mean diameter, etc. Some physical properties of banana were statistically analyzed and their mean, standard deviation, error and coefficient of variance were presented. Models were divided into three classifications. Among the first classification model, empirical equation describing the length and width (model No. 4) predicts the mass with highest R2 value. In the second classification, mass models of surface area (model No. 8) had a linear relationship with R2 = 0.91. Highest R2 value of 0.85 and 0.83 were found for mass models with true and ellipsoidal volume (models No. 9 and 10) respectively in the third classification. Matematičko modeliranje je izvedeno da bi se predvidela masa banana var. Grand Nain iz fizičkih karakteristika kao što su dužina, širina, debljina, zapremina, srednji geometrijski prečnik, itd. Neke fizičke osobine banana su statistički analizirane i predstavljene su njihove srednje vrednosti, standardne devijacije, greške i koeficijenti varijanse. Modeli su podeljeni u tri klase. U prvom klasifikacionom modelu empirijska jednačina opisuje dužinu i širinu (model br. 4) i predviđa masu sa najvišom R2 vrednošću. U drugoj klasifikaciji, maseni modeli površine (model br. 8) imali su linearni odnos sa R2 = 0.91. Najviša vrednost R2 od 0.85 i 0.83 dobijene su u trećoj klasifikaciji za masene modele sa pravilnom i elipsoidnom zapreminom (modeli br. 9 i 10), redom.