analysis and modeling of energy and production of dryland chickpea in the city of bukan

this study aimed to analyze and modeling of energy and performance of dryland chickpea adaptive neuro-fuzzy inference system utilizes (anfis) in dryland chickpea production is done in the city of bukan. data were collected from 70 producers of chickpeas using face to face interviews with farmers and completing the questionnaire specialized. size of land was between 2 and 10 hectares. input factors include manpower, machinery, seed, fuel and chemical pesticides and output was chickpea and straw. there is no type of fertilizer use in the areas investigative. the results indicated that the total energy consumption during production and energy 7760.441 mj.ha-1 total production (grain-straw) is 15,305.976 mj.ha-1. energy ratio and energy efficiency of 1.229 and 0.0836, respectively, for the production of chickpea and chickpea-straw, respectively, were 1.972 and 0.1946 mj kg-1. the main entrance was diesel fuel with a share of 73.49% of the total energy consumption. statistical indices r, rme and rmse for the best model for energy anfis chickpea respectively 0.94, 0.02 and 369.08, respectively and for the performance chickpea, 0.95 , 0.02 and 21.58 respectively.