method (DESM), auto-regressive integrated moving average (ARIMA) model, proposed analytic function model (PAFM) by static method, and kalman filtering model (KFM) by dynamic method with existing accident data in agriculture. In this paper, microsoft foundation class (MFC) software of Visual Studio 2008 was used to minimize SSE of the occupational accident rate and the fatal accident rate. The minimum value of SSE in the agriculture was found in 0.4970 and 17.8381 in the occupational accident rate and fatal accident rate, respectively. Accordingly, ARIMA model in the agriculture are ideally applied in the accident rate and fatal accident rate. Finally, this paper provides very efficient and strategic method for prevention of accident in agriculture through the trend of determined prediction model and analysis of accident data.