The research and application of time series prediction model

摘要

The idea of using time series analysis to predict product is not new. At present, there are many food resources prediction and evaluation, and in the agricultural research it is prediction good method of international popular food like method, remote sensing prediction method, multiple regression and other methods to predict yield. In this paper, the main production data is used in Jilin province in recent decades, the application of time series analysis method of comparative study, in order to serve agriculture and choose a more accurate prediction of time series model in recent years of maize yield in Jilin province. The results showed that ARIMA (2,1,1) could correctly simulate and forecast the products of maize, providing an important method for accurately predicting the yield in formation of agricultural products.