Agriculture represents that fundamental sector of the world economy that has to supply food for all mankind. Beside, today growing population of world has increased the need for agricultural products and consequently increased the pressure on based resources that is required for those products such as labor and capital. In order to feed the growing population, agricultural production is to be increased. This can be achieved either by increasing the area under cultivation or by increasing total factor productivity (TFP) of agriculture sector. Increasing the total factor productivity (TFP) of agricultural sector is becoming the key issue to feed the increasing population from the limited resources. The purpose of this study is to estimate the TFP growth rate of Iran\'s agriculture sector using Auto-Regressive distributed Lag (ARDL) approach. Also, in contrast to the conventional agricultural production functions which are just based on labor and capital inputs, in this research we estimate TFP derived from a Cobb- Douglas production function included the energy factor. Results showed that the elasticity of labor, capital and energy variables in Iran\'s agriculture sector production function is 1.04, 0.16 and 0.70, respectively. Also, the growth rate estimation of TFP indicated that the contribution of TFP growth rate in economic growth rate of Iran\'s agriculture sector (4.43%) is just 0.33%. Finally, we concluded that TFP of Iran\'s agriculture sector must be increase in order to satisfy its total economic growth.

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