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A Review of Cybersecurity Incidents in the Food and Agriculture Sector
The increasing utilization of emerging technologies in the Food & Agriculture (FA) sector has heightened the need for security to minimize cyber risks.
Public Policymaking for International Agricultural Trade using Association Rules and Ensemble Machine Learning
The recent shocks to the free trade regime, especially trade disputes among major economies, as well as black swan events, such as trade wars and pandemics, raise the need for improved predictions to inform policy decisions.
Application of Machine Learning in Forecasting International Trade Trends
While traditional economic models aim to be reliable predictors, we consider the possibility that Machine Learning (ML) techniques allow for better predictions to inform policy decisions.
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