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Exploring the best model for sorting Blood orange using ANFIS method CIGR Journal
Sabzi, Sajad; Javadikia, Payam; Rabbani, Hekmat; Adelkhani, Ali; Naderloo, Leila.
OranOrange has abundant nutritional properties and is consumed worldwide.  Sorting oranges of different masses based on their physical traits could help reduce packaging and transportation cost.  The ‘Blood’ cultivar of Iranian oranges from Kermanshah province of Iran (7.03 °E 4.22 °N) was used in this study.  100 samples were randomly selected.  During the two-day experiment, all measurements were carried out inside the laboratory at mean temperature of 24°C.  In this study, some physical properties of ‘Blood’ orange were measured, such as length, width, thickness, volume, mass, mean value of geometric diameter, sphericity and projected area.  ANFIS and linear regression models were employed to predict the mass based on sphericity and mean of projected...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Linear regression; Orange; Packaging; Physical properties; Sorting.
Ano: 2013 URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/2348
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