Decision Support System for Farmers using Business Intelligence

Farmers in India work extremely hard in the farms but still their profit margins are comparatively low. The farmers have very little knowledge about the conditions that cause fluctuations in price of the crop. These fluctuations in the price are due to various factors like irregular rainfall, change in demand-supply, and import-export policies of the government. We, therefore, implemented Holt-winter’s Forecasting Model and have incorporated the effects caused by factors such as Rainfall, Exports-Imports & Productivity into the model. This model examines some sample data and based on this data, forecasts the future trend and fluctuations in crop price. This model can help the farmers by providing prediction of price of the crops and thus, to extend the profit margins.

[1]  Deping Zhan,et al.  Market Failure and Supply Model of Chinese Agricultural Insurance , 2010, 2010 Third International Conference on Business Intelligence and Financial Engineering.

[2]  Bankim Patel,et al.  Agriculture Intelligence: An Emerging Technology for Farmer Community , 2011, 2011 Second International Conference on Emerging Applications of Information Technology.

[3]  Shouhua Yu,et al.  Forecasting Model of Agricultural Products Prices in Wholesale Markets Based on Combined BP Neural Network -Time Series Model , 2009, 2009 International Conference on Information Management, Innovation Management and Industrial Engineering.

[4]  Junfeng Li,et al.  Analysis on Demands for Agricultural Science and Technology Based on Bayesian Network , 2011, 2011 Fourth International Conference on Business Intelligence and Financial Engineering.