Broiler Price Forecasting Model with Wavelet Transform

摘要

The broiler price forecasting plays a crucial important role in the poultry breeding industry because it is beneficial to maximizing the profit and minimizing the risk. Its goal is to accurately predict the broiler price in future based on the history data. ARMA is the classical time series prediction method and wavelet transform is well known to work well for reducing the noise of the data. In this paper, we perform ARMA with wavelet transform to get high accuracy of the broiler price forecasting.