In India the agriculture was practiced as subsistence basis; farmers products used to exchange with his needs with other commodities on barter system in olden days. Now in better usage of agricultural technology and timely inputs, the agriculture becomes commercial in nature. The current scenario is totally different farmers want remunerative prices on his produced commodity and increased awareness marketing becomes part of agricultural system. Now situation is much more demanding if people are not competent enough then survival becomes difficult. Still in India dream of technology reaching to poor farmers is distant issue. However government is taking initiative to empower them with new ICT tools. The small effort of this paper is intended to give insight of one such technology called as Data Mining. In this paper we have taken certain conceptual Data Mining Techniques and Algorithms to implement and incorporate various methodologies to create concurrent result for decision making and creating favorable policy for farmers. We used data sets from APMC market source and run using the open source software tool of Weka. Our finding clearly indicates which algorithm does what and how to use in effective and appropriate manner.