Journal of Agricultural Science and Technology
Journal of Agricultural Science and Technology
JAST
Agriculture
http://jast.modares.ac.ir
1
admin
1680-7073
2345-3737
10.22034/jast
en
jalali
1391
4
1
gregorian
2012
7
1
14
4
online
1
fulltext
en
Modelling Some Physical Characteristics of Pomegranate (Punica granatum L.) Fruit during Ripening Using Artificial Neural Network
Pomegranate is an important Iranian-native fruit, with many varieties cultivated. Although the volume of data on the importance of pomegranates in human nutrition has increased tremendously in the last years, the physical properties of the pomegranate fruit during fruit maturity have not yet been studied in detail. Thus, the present study aimed to evaluate changes in physical characteristics of six pomegranate fruits in three different stages from fruit set to ripening. Physical characteristics of pomegranate fruit including length to diameter ratio of fruit and calyx, peel and aril percentage, juice weight and percentage in a whole fruit in ‘Aghaye’ (A), ‘Faroogh’ (F), ‘Rabbab-e-Fars’ (RF), ‘Shahvare’ (S), ‘Shirin-e-Bihaste’ (SB) and ‘Shirin-e-Mohali’ (SM) were investigated. Different topologies of the artificial neural network were examined. Among different structures, a multilayer feed forward neural network based on 15 neurons in the single hidden layer with transfer function of tangent hyperbolic both in hidden layer and output layer and Levenberg-Marquardt learning rule was found to be the best model for predicting the physical characteristics of pomegranate fruit from the different cultivars. Results indicated that artificial neural network provides a prediction method with high accuracy. The correlation coefficients in the prediction of these physical characteristics were higher than 0.89.
Artificial Neural Network,Fruit ripening,Physical characteristics,Pomegranate
857
867
http://jast.modares.ac.ir/browse.php?a_code=A-23-1000-774&slc_lang=en&sid=23
M. R.
Amiryousefi
M. R.
Amiryousefi
100319475328460046148
100319475328460046148
Yes
Department of Food Science and Technology, Faculty of Agriculture, Ferdowsi University of Mashhad, P. O. Box: 91775-1163, Mashhad, Islamic Republic of Iran.
Department of Food Science and Technology, Faculty of Agriculture, Ferdowsi University of Mashhad, P. O. Box: 91775-1163, Mashhad, Islamic Republic of Iran.
M.
Zarei
M.
Zarei
100319475328460046149
100319475328460046149
No
Department of Horticulture, Faculty of Agriculture, Ferdowsi University of Mashhad, P. O. Box: 91775-1163, Mashhad, Islamic Republic of Iran.
Department of Horticulture, Faculty of Agriculture, Ferdowsi University of Mashhad, P. O. Box: 91775-1163, Mashhad, Islamic Republic of Iran.
M.
Azizi
M.
Azizi
100319475328460046151
100319475328460046151
No
Department of Horticulture, Faculty of Agriculture, Ferdowsi University of Mashhad, P. O. Box: 91775-1163, Mashhad, Islamic Republic of Iran.
Department of Horticulture, Faculty of Agriculture, Ferdowsi University of Mashhad, P. O. Box: 91775-1163, Mashhad, Islamic Republic of Iran.
M.
Mohebbi
M.
Mohebbi
100319475328460046152
100319475328460046152
No
Department of Food Science and Technology, Faculty of Agriculture, Ferdowsi University of Mashhad, P. O. Box: 91775-1163, Mashhad, Islamic Republic of Iran.
Department of Food Science and Technology, Faculty of Agriculture, Ferdowsi University of Mashhad, P. O. Box: 91775-1163, Mashhad, Islamic Republic of Iran.