Demand-prediction model for forecasting AGRI-needs of the society

In developing countries like India, at present there is no efficient system model to effectively manage the current grocery needs of the society and educate the farmers in growing the required crops to fulfill those needs satisfactorily. Due to this lack of demand (needs) supply data analysis and management, most of the times farmers suffer from the loss and consumers suffers from high prices. In order to address this problem, enormous data about the demand, supply and price variation of various crops have been collected and analyzed. The results have shown a huge gap between a demand and supply of various crops due to which both customers and farmers are facing problems. Hence, this paper proposes a demand-Prediction forecasting model based on a detailed analysis of varying market conditions and societal needs for food grains for several years. The forecasted values of various parameters are in the range of actual real-time market values.