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Kamran Kheiralipour

Academic rank: Associate Professor
ORCID:
Education: PhD.
ScopusId:
HIndex:
Faculty: Agriculture
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Research

Title
Multivariate modeling of settling depth of apple fruit (Red Delicious variety) in water
Type
JournalPaper
Keywords
Hydraulic handling, multivariate modeling, physical characteristics, settling depth
Year
2015
Journal CRITICAL REVIEWS IN FOOD SCIENCE AND NUTRITION
DOI
Researchers Kamran Kheiralipour ، Farshid Marzbani

Abstract

Settling depth of targets, with a density lower than the density of water, is a distance between water surface and a depth that the target reaches after dropping from a height. In this research, settling depth of apple was determined by a water column and a digital camera and then was experimentally modeled using multivariate regression program coded in MATLAB software. The considered parameters in multivariate modeling were physical characteristics (density, mass, and volume) and dropping height of the target. The characteristics were determined by standard methods. The best models were based on the density, dropping height and volume/mass with coefficient of determination (R2), and mean square error (MSE) of 0.90 and 4.08, respectively.