Evaluation of Energy Indicators in the Production of Coriander, Rapeseed and Wheat in Nahavand City with Computational Intelligence Techniques

 Optimal energy management in agricultural systems and the emission of greenhouse gases from agricultural activities is one of the topics of interest for researchers around the world. This research has used the field method to collect and record data in the form of interviews and questionnaires. Optimization of energy consumption and modeling of energy consumption for the production of these products were performed using artificial neural networks and data envelopment analysis. DEA-SOLVER and EMS13 software were used for analysis and farms were evaluated in terms of energy consumption and production performance. The results showed that the average energy per hectare of rapeseed, wheat and coriander is about 984375, 1338762 and 626771 MJ per hectare, respectively. In rapeseed and wheat crops, respectively 57.66% and 72.92% of energy input, belonged to chemical fertilizers, especially nitrogen fertilizer, and in coriander, chemical toxins input had the highest share in energy input with 68.01%. Energy ratio index for products was 0.60, 0.91 and 0.50, respectively. As a result, the share of indirect energy was high in all products due to the use of chemical fertilizers and chemical toxins. The amount of technical efficiency, net technical efficiency and scale efficiency in rapeseed fields were estimated to be 0.89, 94 and 0.96, respectively. After chemical fertilizer, energy stored by fuel inputs with 15.98%, chemical toxins with 4.02% and seeds with 2.02% of total stored energy, after chemical fertilizer in the second to third ranks for they had the optimization of input energy.