Industrial development and population growth has the greatest impact on the human life and environment. The fossil fuel-agricultural food production dependency leads to unsustainable agriculture and increasing environmental hazards. Therefore, agricultural energy management is one of the main strategies to achieve sustainable development. The aim of this study is to evaluate the energy-use efficiency of greenhouse cucumber production in central region of Isfahan province by input-output analysis and data envelopment analysis (DEA) methods. Data were collected on a sample of 81 greenhouse framers by identifying homogeneous groups via a two-step clustering and proportionate stratification sampling methods through face-to-face interviews based on a comprehensive structured questionnaire. Results showed that, the average input and output energy in greenhouses respectively is 3232528 and 166063 (MJ.h -1 ). The most share of energy consumption is in the fuel (74.8%) and electrical (16.16%). Energy efficiency was calculated via input - output and DEA methods respectively 0.07 and 0.88. Energy saving in greenhouses can be 50% by changing energy consumption patterns particularly in fuel input. It is possible to provide different scenarios of energy management by considering uncertainty in energy equivalents via robust DEA. Moreover, greenhouse gas emissions was estimated 74941.21 (kg co /ha) with greatest share of fuel and electrical inputs. Comparing the ranking results of input-output and DEA methods showed no overlap. The most positive important factors affecting energy efficiency are having an academic education, the use of diesel fuel and decision making by visiting other greenhouses. The overall result of this study indicates that it is necessary to revise the methodologies of energy use pattern analysis. Keywords : Cucumber greenhouse, CO 2 emission, Input-output method, Data envelopment analysis, Farmer’s decision making channels.