Data or statistical facts on the situation and perspectives of agri-food systems and the impact of policies
75% of producers in the United States still do not use artificial intelligence tools in agriculture, despite their advance and growing importance for agricultural competitiveness.
65% more employment per US$1 billion invested is generated by United States companies compared with Chinese companies, and 22% more compared with European companies.
10 billion people will need to be fed through technologies that enable more food to be produced at a lower cost.
US$9 billion was allocated to new research aimed at increasing agricultural yields, compared with US$2.5 billion in 2016.
AI is transforming the manufacturing and application of nitrogen fertilizers in the U.S. by analyzing soil, weather, and crop behavior to support precise nutrient management strategies.
AI enables growers to use less fertilizer while maintaining reliable crop yields by supporting precise nutrient management strategies under uncertain market conditions.
Precision agriculture, through GPS-enabled application technology, soil moisture measurement, and analytics tools, helps better target nitrogen applications, reduce waste, and improve nitrogen use efficiency.
9.5% was the share of business services after increasing from 5% (as reported over time) (ECLAC, 2025).
51 initiatives correspond to information and communication technologies (ICT) in the report’s IAP mapping (ECLAC, 2025).
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...
