Neural Network (NN): An Expert System based Technique for Forecasting the Sell Quantity of Chemical Fertilizer Data

Since beginning, agriculture play an important role in Indian economy and it continues to be mainstay for live hood of rural people. However, the fertilizer is being considered an essential input to Indian agriculture in order to meet the food gain requirements of the growing population of the country. Forecasting the accurate prediction of demand and supply needs is an important concern. In the past, various statistical tools and techniques are used for this purpose. In present scenario, there are various approximations are made on fertilizer quantity as well as type of crop to be grown or planned. These tools and techniques are not adequate in present situation. In this way, expert system based neural network technique has adopted to forecast the supply needs of fertilizer. In this study, real dataset collected from MP state cooperative marketing federation LTD., Bhopal. Finally, experimental results had shown that proposed model had achieved more accurate performance i.e. in terms of error measures like MAD, MAPE, RMSE.