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Evidences

47 results

75% still do not use AI in farming

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 capital generates 65% more employment

28/07/2026 Go to Evidence

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.

AgroLatam.com (2026)

AgroLatam.com. (2026, 28 de julio). ¿Qué países de América Latina captan más inversión de EE. UU.? https://www.agrolatam.com/actualidad-latam/inversion-estados-unidos-america-latina-agro-china-2026/

10 billion people will require more food

04/06/2026 Go to Evidence

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

US$9 billion for agricultural innovation

04/06/2026 Go to Evidence

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

AI optimizes fertilization

19/02/2026 Go to Evidence

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

Less fertilizer, stable yields

19/02/2026 Go to Evidence

AI enables growers to use less fertilizer while maintaining reliable crop yields by supporting precise nutrient management strategies under uncertain market conditions.

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 reduces waste

19/02/2026 Go to Evidence

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

Rising share of business services

09/10/2025 Go to Evidence

9.5% was the share of business services after increasing from 5% (as reported over time) (ECLAC, 2025).

El 9,5% fue la participación de los servicios empresariales tras aumentar desde 5% (comparación temporal reportada) (CEPAL, 2025).

IAP ICT: digitization of agri-food chains

09/10/2025 Go to Evidence

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).

Predictive models and food security

16/07/2025 Go to Evidence

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.