The aim of this thesis is to develop a stochastic planning model of an organic cash crop farm. The basis of the model is a master budget that simulates the farm‘s development of liquidity, profit and equity over the period of ten years, starting in 2011. Probability distributions account for price- and yield risks within the model. Possible interrelationships between yields and prices are considered by correlation matrices. Factor costs are the third group of risks which are modelled on the basis of the Austrian Agricultural Price Index (1995-2010). In order to account for interrelationships between factor costs, the „hierarchy of variables“-approach by Lien (2003) and Hardaker (2004) is applied in the model. Microsoft Excel 2010 is used to build the spreadsheet model. Stochastic simulation is implemented by Palisadess risk simulation add-in @Risk. The example farm has to decide which of the three possible development strategies shall be realized. Besides continuing the current strategy, the farm may choose between an intensification and an extensification alternative. Since agricultural policies after 2013 are uncertain at the time being, two subsidy scenarios are simulated for each of the strategies. The sensitivity analysis shows that yield risks contribute the most to the total farm risk, followed by price and factor cost risks. As a result of simulation, the extensification strategy (in combination with an off-farm employment) proves to be best to retain the farms assets, to increase equity and to stay free of debt. The intensification strategy, indeed, increases the farms liquidity, profit and equity. However, it also bears the highest risk. By stopping payments for replacement investment, liquidity may rise in the short term, consequences of the asset reduction, however, will occur not before the end of the forecast horizon.