Call For Papers: Food and Agriculture Forecasting | International Journal of Forecasting

International Journal of Forecasting

Special Section on Food and Agriculture Forecasting

The fast growing world population brings a critical challenge to humanity: how to ensure adequate supply and access to safe, healthy food. Accurate forecasts provide valuable information to help in formulating national food and agricultural policies, and to help agriculture companies and farmers adjust their business strategies. Such forecasts cover production, consumption, stocks, trade and prices of major field crops (e.g., corn, sorghum, barley, oats, wheat, rice, soybeans, and cotton) and livestock (e.g., beef, pork, poultry and eggs, and dairy). This special section is to collect high-quality research that involves theoretical and practical aspects of forecasting in food and agriculture. Specifically, it encourages papers that inspire actionable insights and/or make methodological breakthroughs in this area.

Potential topics include but are not limited to:

• Forecasting methodologies in food and agriculture
• Major field crops forecasting
• Livestock forecasting 
• Agri-food products forecasting 
• Forecasting in vegetables, fruits and other agriculture commodities
• Agriculture commodities futures market forecasting
• Natural resources forecasting in agriculture and food industry 
• Water and energy forecasting in agriculture 
• Climate forecasting in agriculture

Submission deadline: 31 December 2018

To submit a paper for consideration for the Special Section, please upload your paper online and include a cover letter clearly indicating that the paper is for the special issue “Food and Agriculture Forecasting”. The webpage for online submission is mc.manuscriptcentral.com/ijf. Instructions for authors are provided at www.forecasters.org/ijf/authors. All papers will follow IJF’s double-blind refereeing process. For further information about the Special Section, please contact the guest editors.

Guest Editors

Jue Wang, Chinese Academy of Sciences, China (wjue@amss.ac.cn)
Tao Hong, University of North Carolina at Charlotte, USA (hong@uncc.edu)