The purpose of this study was to examine the role of rural production cooperatives in improving the technical and economic status of wheat farmers in Sabzevar township. Survey method with questionnaire and interview were used for data collection in the research. Population consisted of all the farmers who were members of cooperatives and farmers who were not members. Among 16 active cooperatives, 5 firms were chosen to be studied (N=4000). The questionnaire forms have three sections as follows: 1. individual characteristics of farmers consisting of age, educational level and years of agricultural experience, 2. technical features containing of level of technical knowledge, mechanization level and optimum utilization of agricultural inputs (water, seed, pesticide and fertilizer) and 3. farmer"s economic characteristic including area under cultivation, yield (ton per hectare) output cost, income, access to agricultural inputs, and access to the bank loan and credits facilities. Content validity of the instrument was established using a panel of expert consisting of Faculty of Agricultural Extension and Education Department, Tarbiat Modarres University. A reliability analysis, conducted and Cronbachs Alpha value were reported 0.86 percent. The results of the study show that, as regards technical characteristics, there is a meaningful positive relationship between level of technical knowledge, optimum utilization of seeds and membership variables.Regarding economic characteristic, there is a positive relationship between area under cultivation, yield (ton per hectare) and pure income and membership variable. There is a meaningful negative relationship between land preparing cost, cultivation cost and membership. It was also revealed that there is a meaningful positive relationship between membership variable and the ways and means of access to the agricultural inputs such as seed, fertilizer, pesticide and variable of bank loan as well as the number of the banks from which the farmers have already borrowed. Regression analysis by Enter method showed that the cases of borrowing from the banks, number of banks giving loan, irrigation cycle, optimum utilization of seeds and level of technical knowledge, explain 42% of the dependent (yield) variable. Also, years of agricultural experience, age, yield per hectare, optimum utilization of pesticide and total cost per hectare explain 84% of dependent variable of pure income per hectare.