a stochastic programming approach

Farmers on the Central Plateau of Burkina Faso in West Africa cultivate under precarious con-ditions. Rainfall variability is extremely high in this area, and accounts for much of the uncertainty surrounding the farmers? decision-making process. Strategies to cope with these risk are typically dynamic. Sequential decision making is one of the most important ways to cope with risk due to uncertain rainfall. In this paper, a stochastic programming model is presented to describe farmers? sequential decisions in reaction to rainfall. The model describes farmers? strategies of production, consumption, selling, purchasing and storage from the start of the growing season until one year after the harvest period. This dynamic model better describes farmers? strategies than static mod-els that are usually applied. This study draws important policy conclusions regarding reorientation of research programs and illustrates how operations research techniques can be usefully applied to study grass root problems in developing countries