Analysis of energy flow of grape production in North Khorasan Province by artificial neural networks

Document Type : Research Paper

Authors

1 Department of agricultural mechanization, Islamic Azad University, Azadshahr branch

2 Department of Agricultural Machinery Mechanics, Azadshahr Branch, Islamic Azad University, Azadshar, Iran

Abstract

The aim of this study was to model the energy flow of grape production North Khorasan province of Iran. Data were collected through questionnaires and also interviews with producers. The results revealed that the total energy inputs, energy output and energy use efficiency of grape production in North Khorasan were 52553.61 MJha-1, 283513.17 MJha-1 and 5.39, respectively. Chemical fertilizer with 35094.98 was attributed the highest share of energy consumption. The shares of renewable energy and non-renewable energy of production were 15 and 85%, respectively. The results of neural networks showed that the best structure for modeling the energy consumption for broiler production was estimated at 6-10-1. The coefficient determination of the best topology was 0.98 for the grape production.

Keywords


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Volume 48, Issue 4
December 2017
Pages 435-443
  • Receive Date: 30 April 2017
  • Revise Date: 03 August 2017
  • Accept Date: 12 August 2017
  • First Publish Date: 22 December 2017