Milk Production -Forecasting In Khartoum State, Sudan

  • Safa Abdelgadier Hassan Department of Economics, Faculty of Economics and Social Studies, Bahr El-Ghazal, Wau, South, Sudan
  • Hag Hamad Abdelaziz Department of Agricultural Economics, Faculty of Agricultural Studies, Sudan University of Science and Technology, Shambat , Sudan
  • Abdelateif Hassan Ibrahim Department of Agric-Economics, Faculty of Agriculture, University of Khartoum
  • Khalid Salih Mohamed Musa Department of Agricultural Economics and Agribusiness College of Agriculture, University of Bahri
Keywords: Milk-Production Forecasting, ARIMA Model


The objective of this study was forecast milk production of Khartoum State, during (2018-2030), different techniques used for the prediction of total year milk yield. Auto-Regressive Integrated Moving Average (ARIMA) Model with statistical time –series modeling technique was used to develop using 29 yr. of historical milk-production data. The models predicted the total annual milk production, as performance measures, ARIMA analysis of the Mean Absolute Percentage Error (MAPE) was found to be 1.611. So, the ARIMA (1.0.0) model obtained accurate results regarding the performance to forecasting the dairy production.


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How to Cite
Hassan, S. A., Abdelaziz, H. H., Ibrahim, A. H., & Musa, K. S. M. (2019). Milk Production -Forecasting In Khartoum State, Sudan. IJRDO - Journal of Agriculture and Research (ISSN: 2455-7668), 4(12), 06-13. Retrieved from