RT Journal T1 TIME SERIES MODELING FOR FORECASTING WHEAT PRODUCTION OF PAKISTAN A1 M. Amin A1 M. Amanullah A1 A. Akbar JF Journal of Animal and Plant Sciences JO JAPS SN 1018-7081 VO 24 IS 5 SP 1444 OP 1451 YR 2014 FD 2014/10/01 DO DOI NA AB

Wheat is the main agriculture crop of Pakistan.  For country planning, forecasting is the main tool for predicting the production of wheat to determine the situation what would be the value of production coming year. In this research, we developed time series models and best model is identified for the objective to forecast the wheat production of Pakistan. In this research large time periods i.e. 1902-2005 data was used. Various time series models are fitted on this data using two software’s JMP and Statgraphics. We have found that the best model is ARIMA (1, 2, 2).  On the basis of this selected model, we have found that wheat production of Pakistan would become 26623.5 thousand tons in 2020 and would become double in 2060 as compared in 2010.

K1 ARIMA; Time Series models; Wheat Production Forecasting PB Pakistan Agricultural Scientists Forum LK https://thejaps.org.pk/AbstractView.aspx?mid=2014-JAPS-208