Decision-making models for forecasting crop yields under conditions of uncertainty

A Markov model is proposed for making decisions on the forecast of cotton yields. It is shown that the forecasting process is a Markov process. The Markov chain of the matrix of transition probabilities and the income matrix are obtained depending on soil fertilizability.The foremost imperative national economic errand is the all-around increase within the production of agricultural items and the improvement of their quality. The solution to this issue is based on the further intensification of the industry and the move to a new economic mechanism.