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Study on Maize Yield Prediction Using Time Series Analysis

In order to predict the maize yield of changes in the following years for our managers and framers, we have applied a statistical model based on time series analysis. Nowadays, there is a variety of methods on yield prediction in agricultural .In order to prove the accuracy of prediction models, more than prediction model can be used. In the paper, the establishment of ARIMA (2, 1, 1) model was been established by using the timing sequence analysis on yield data. The partition results can not only guide farmer, provide an important method for accurately predicting in agricultural products, and can be used to implement variable input and precise fertilization recommendation.