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Events Such As Recent Natural Disasters, The Great Recession, The Food Crisis Of 2011, And The Covid19 Pandemic Have Highlighted The Importance Of Food Price Forecasting And The Need For Improvements To The Forecasting Methodology To Enhance Accuracy And Treat Uncertainty More Rigorously.

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Despite Recent Advances In Leveraging Machine Learning For Food Demand Forecasting, Most Existing Models Remain Static And Assume Stable Demand Patterns, Posing A Challenge For Adapting To Demand Changes During Disruption Events.

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