Data or statistical facts on the situation and perspectives of agri-food systems and the impact of policies
The study conducts a comprehensive review of the use of predictive models to strengthen food security in Latin America, with an emphasis on Colombia. It analyzes 65 studies published between 2014 and 2024 that apply algorithms such as Random Forests and Neural Networks to anticipate agricultural yields, manage climate risks, and optimize resources. The results show that agricultural, climatic, and...
The agrifood supply chain of Latin America and the Caribbean (LAC) stands out for its resilience to the COVID-19 pandemic, and multiple studies have been conducted to analyze the differential impacts of the pandemic across firms and sectors. Less is known regarding the strategies implemented for business continuity during this catastrophic shock. The purpose of this study was to analyze the respon...
Nearly 40% of jobs worldwide will be affected by AI, either replacing or complementing them, requiring a balance of policies to harness its potential (IMF, 2024).
