Prediction of Total Power of Agricultural Machinery Using Artifical Neural Networks

In this study, the prediction of total power of agricultural machinery is investigated using artificial neural networks (ANN). This paper presents an accurate model by training with value of the total power of agricultural machinery from 1990 to 2003. Values of total power of agricultural machinery from 2004 to 2007 are predicted, predicted results and the ANN are in close agreements with errors less than 1%. Furthermore, the values from 2008 to 2011 are forecasted, these values provide referenced basis for laying down plan of agricultural machinery in future. The study showed that the ANN could be used effectively for predicting of total power of agricultural machinery.