دانشگاه تهرانIranian Journal of Biosystems Engineering2008-480348120170421Analysis and modeling of energy and the production cost of alfalfa using multi-layer adaptive neuro-fuzzy inference system in Bukan townshipAnalysis and modeling of energy and the production cost of alfalfa using multi-layer adaptive neuro-fuzzy inference system in Bukan township1901796157310.22059/ijbse.2017.61573FAOmid Ghaderpourtehran university0000-0002-3128-0020Shahin Rafieetehran university0000-0003-2647-3984Mohammad Sharifitehran university0000-0003-4594-4972Journal Article20160921This study examines the pattern of energy consumption in the production of alfalfa, economic analysis and modeling of energy and the production cost of alfalfa in the Bukan township. Data were collected through interviews and filling specialized questionnaires. The results showed that the consumption and production total energy were 212428 and 232567 respectively. Electricity with a share of 68 percent of the input total energy was the most consumed inputs. Indicators of energy efficiency, energy efficiency, energy intensity, net energy, net income, the ratio of benefit to cost and economic efficiency were 1.09, 14.43 Mj/kg, 0.07 kg/Mj, 20139.6 Mj, 1527.14 $/ha, 2.06 and 10.17 kg/$ respectively. Values of R, RMSE and RMSE for the final ANFIS in modeling of energy efficiency were 0.97, 0.033 and 0.2, respectively and for the final ANFIS in modeling of production cost, 0.98, 0.011 and 0.1, respectively. R2 value between actual and predicted values of Production costs and energy productivity was 0.94 and 0.97 respectivelyThis study examines the pattern of energy consumption in the production of alfalfa, economic analysis and modeling of energy and the production cost of alfalfa in the Bukan township. Data were collected through interviews and filling specialized questionnaires. The results showed that the consumption and production total energy were 212428 and 232567 respectively. Electricity with a share of 68 percent of the input total energy was the most consumed inputs. Indicators of energy efficiency, energy efficiency, energy intensity, net energy, net income, the ratio of benefit to cost and economic efficiency were 1.09, 14.43 Mj/kg, 0.07 kg/Mj, 20139.6 Mj, 1527.14 $/ha, 2.06 and 10.17 kg/$ respectively. Values of R, RMSE and RMSE for the final ANFIS in modeling of energy efficiency were 0.97, 0.033 and 0.2, respectively and for the final ANFIS in modeling of production cost, 0.98, 0.011 and 0.1, respectively. R2 value between actual and predicted values of Production costs and energy productivity was 0.94 and 0.97 respectivelyhttps://ijbse.ut.ac.ir/article_61573_8ad0254a981a09a4a24bcdbb905aa441.pdf