13 results
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.
AgroLatam.com (s. f.)
AgroLatam.com. (s. f.). ¿Puede la inteligencia artificial cambiar el futuro del agro? https://www.agrolatam.com/tecnologia-latam/inteligencia-artificial-agro-eeuu-impacto-america-latina/
US$9 billion was allocated to new research aimed at increasing agricultural yields, compared with US$2.5 billion in 2016.
The Economist (2026)
The Economist. (2026, June 4). Feeding 10 billion people will require new technology. https://www.economist.com/science-and-technology/2026/06/04/feeding-10-billion-people-will-require-new-technology
10 billion people will need to be fed through technologies that enable more food to be produced at a lower cost.
The Economist (2026)
The Economist. (2026, June 4). Feeding 10 billion people will require new technology. https://www.economist.com/science-and-technology/2026/06/04/feeding-10-billion-people-will-require-new-technology
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.
Precedence Research (2026)
Precedence Research. (2026, February 19). U.S. Nitrogenous Fertilizer Market Size, Share and Trends 2026 to 2035. https://www.precedenceresearch.com/us-nitrogenous-fertilizer-market
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.
Precedence Research (2026)
Precedence Research. (2026, February 19). U.S. Nitrogenous Fertilizer Market Size, Share and Trends 2026 to 2035. https://www.precedenceresearch.com/us-nitrogenous-fertilizer-market
31% increase in self-employment income among households with longer participation in the AGROIDEAS iniciative (MIDAGRI, 2024).
MIDAGRI, 2024
51 initiatives correspond to information and communication technologies (ICT) in the report’s IAP mapping (ECLAC, 2025).
51 iniciativas corresponden a tecnologías de la información y las comunicaciones (TIC) en el mapeo de IAP del informe (CEPAL, 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 technological variables predominate, while socioeconomic and nutritional dimensions are underrepresented. The article highlights the need to integrate multidimensional data to develop more robust models that strengthen the resilience and sustainability of food systems in the region.
Universidad de Santander: Bucaramanga, Santander, Colombia. Universidad El Bosque: Bogotá, Bogota D.C., Colombia. Universidad Tecnológica de Pereira: Pereira, Colombia.
Trejos-Suárez, J., Pardo, L. V. C., Tabares, J. E., Garzón, S., Bryon, A., & Alarcón, Z. (2025). Modelos predictivos para la seguridad alimentaria en América Latina: Una revisión de alcance. Archivos Latinoamericanos de Nutrición, 75(2), 129-142.
6 decimal places minimum represents the precision required in latitude and longitude coordinates to identify the exact geographical location of land plots under the EUDR regulation (Sarmiento, 2025).
6 decimales como mínimo representa la precisión requerida en las coordenadas de latitud y longitud para identificar la ubicación geográfica exacta de las parcelas de tierra bajo la regulación EUDR (Sarmiento, 2025).
4 hectares represents the minimum plot size (excluding cattle production) from which geolocation must be provided using polygons with enough latitude and longitude points to outline the perimeter of the land (Sarmiento, 2025).
4 hectáreas representa el tamaño mínimo de parcela (excluyendo producción ganadera) a partir del cual la geolocalización debe proporcionarse usando polígonos con suficientes puntos de latitud y longitud para delinear el perímetro de la tierra (Sarmiento, 2025).