Simulation-Based Choice of Optimal Farming Strategies under Risks of Nature

The goal of simulation experiments with different input weather parameters is determining the farming strategies under conditions of nature inaccuracy due to global climate changes. The final goal would be suggesting most efficient farmer strategies subject to the given statistical uncertainity interval constraints. The application and analysis of decision-making theory methods in order to choose a farming strategy were performed to complete the set goal. It was illustrated that the choice of the optimal strategy depends on the farmer's subjective pessimism degree under conditions of no information on probabilities of the state of nature