TY - JOUR ID - 63809 TI - Analysis of energy flow of grape production in North Khorasan Province by artificial neural networks JO - Iranian Journal of Biosystems Engineering JA - IJBSE LA - en SN - 2008-4803 AU - Namvar, Mohammad Hassan AU - nadi, fatemeh AD - Department of agricultural mechanization, Islamic Azad University, Azadshahr branch AD - Department of Agricultural Machinery Mechanics, Azadshahr Branch, Islamic Azad University, Azadshar, Iran Y1 - 2017 PY - 2017 VL - 48 IS - 4 SP - 435 EP - 443 KW - renewable energy KW - Energy output prediction KW - Eenergy efficiency KW - Energy modeling DO - 10.22059/ijbse.2017.63809 N2 - 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. UR - https://ijbse.ut.ac.ir/article_63809.html L1 - https://ijbse.ut.ac.ir/article_63809_20e7d5b58dde84bda20119da2b066db4.pdf ER -