PREDICTION OF PRICES FOR AGRICULTURAL PRODUCTS THROUGH MARKOV CHAIN MODEL.

Currently all producing meet to with face to big problems as the determining production volumes because they have a problem related to predicting the consumer prices in the future. In fact, the consumer prices are strongly fluctuations in the market due to these related to directly seasonable. Many developing countries have already done this problem, as like these countries used to many methods to forecast agricultural production volumes and prices. Producing agricultural products are related to many causes including natural factors and the scientists results also influence to prediction of total volumes. Nowadays, the scientists and researchers are using many factors to forecast of changeable prices in the future. While using many methods have not taken good results, because the production of agricultural goods prices also is directly connecting to times factor, so using the Markov Chain model is more efficiently to prediction price in the future. Production commodities are related to many factors on the agricultural sector, so that the price of goods may be strongly change on short time what is rise, down or unchanged. One must not forget that It is important to analyze each case and select an alternative to the benefit of all subjects which also are producers, intermediaries and consumers.