Paper Title
Forecasting the Annual Cereal Production of Iraq ‎Using Arima Methodology

Abstract
This study forecasts Iraq's annual cereal production using ARIMA methodology, ‎analyzing data ‎from 1961 to 2018 with a sample size of 58. Out of several ‎adequate models and depending on some statistical criteria, the best model ‎identified was ARIMA (0,1,1). ‎Forecasts for 2019 to 2025 indicate that the ‎average cereal production will be approximately ‎‎‎(4034020)‎ metric tons annually. ‎These results provide critical insights for policymakers and ‎agricultural planners ‎in Iraq, aiding in the development of strategies for sustainable agricultural ‎growth ‎and food security. This analysis highlights the importance of robust forecasting ‎models in ‎managing and planning agricultural outputs in the region.‎ Keywords - Forecasting, Cereal Production, ARIMA, Box-Jenkins, Statistical Criteria.