Volume 20 (2024)
Volume 19 (2023)
Volume 18 (2022)
Volume 17 (2021)
Volume 16 (2020)
Volume 15 (2019)
Volume 14 (2018)
Volume 13 (2017)
Volume 12 (2016)
Volume 11 (2015)
Volume 10 (2014)
Volume 9 (2013)
Volume 8 (2012)
Volume 7 (2011)
Volume 6 (2010)
Volume 5 (2009)
Volume 4 (2008)
Volume 3 (2007)
Volume 2 (2006)
Volume 1 (2005)
Study on Firmness and texture changes of pear fruit when loading different forces and stored at different periods using artificial neural network

Mohammad Vahedi Torshizi; Mohsen Azadbakht

Volume 15, Issue 6 , January and February 2020, , Pages 113-132


  This study evaluated the effect of different dynamic and static loadings and different storage periods on the firmness of pear fruit. Pear fruit was first segregated into three groups of 27 pear in order to undergo three loadings: static thin-edge compression loading, static wide-edge compression loading ...  Read More

Determination of the relationship between volume and weight of pear fruit with bruise due to impact load loading using non-destructive CT scan

Mohsen Azadbakht; Mohammad Javad Mahmoodi; Mohammad Vahedi Torshizi

Volume 15, Issue 2 , May and June 2019, , Pages 341-353


  Introduction: The study of relationship between physical properties such as mass and volume and other physical properties, such as geometric dimensions, has been the subject of numerous studies by researchers. The fruit size, shape and mass are important in sorting and measuring fruits, and it determines ...  Read More

Using artificial neural networks to predict thermal conductivity of pear juice

Zeynab Raftani Amiri; Hengameh Darzi Arbabi

Volume 11, Issue 6 , January and February 2016, , Pages 770-778


  Thermal conductivity is an important property of juices in the prediction of heat- and mass-transfer coefficients and in the design of heat- and mass-transfer equipment for the fruit juice industry. An artificial neural network (ANN) was developed to predict thermal conductivity of pear juice. Temperature ...  Read More