Uncertainty and risk are caused by million variables and either they will happen due to complex nature of the universe. This short communication investigates on effects of food risk variables (drives) on the agricultural section. Those drivers consider climate change, urban issues, socio-economic factors, and other measures. As the evaluation of agricultural production system based on multi variables is tough and usually confronts with conflicts, therefore, this article provides a framework to propose a structure with aid of multiple criteriadecision making (MCDM) and expert attitudes. By an empirical example, eight decision factors and six alternatives compose a decision matrix and multi-objective optimization method (MOORA) delivers the optimal solution. The findings of this paper can be a route for experts in this area to explore the further questions and strategies.