Decision Making Support System for Prediction of Prices in Agricultural Commodity

India is a country where major source of living and economy is through agriculture and agricultural industry Prediction of prices in agricultural commodity has always been a major problem for the farmers. Farmers aren't able to get desired price for their crops and that's why the suicide rate is increasing with every passing year. This paper mainly focuses on proposing a decision making support model for prediction of prices in agricultural commodities. This paper also includes techniques of data mining in agriculture that will help the farmers to predict the agricultural commodity prices. The objective of this project is to build a system which provides efficient and effective price prediction features. The aim is to propose a new framework and develop a system to make some advances towards more efficient price prediction.