Evidences
6 results
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
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 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
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.
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).
IMF. 2024. AI Will Transform the Global Economy. Let’s Make Sure It Benefits Humanity.
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 responses toward innovations of the LAC agrifood supply chain to the COVID-19 health emergency using data gathered from agribusinesses from 22 LAC countries. The study contributes to the literature by taking a comprehensive look at the responses of businesses along the LAC agrifood chains, and it is also one of the first longer-term quantitative assessments as it considers responses from the first and second years of the pandemic. The results from our two surveys show that over 70% of agribusinesses implemented innovations, revealing firms’ positive and prompt reactions. Although most innovations were longer-term, in many cases, innovations were only temporary. Statistical analyses suggest that the likelihood of implementing longer-term innovations is associated with the agrifood segment, the agrifood chain stage, receiving long-term public or private support, having access to credit, and positive future perspectives about business conditions.
