Evidences
69 results
The study assessed how precision technologies—such as sensors, GIS, and drones—relate to agricultural input management in the San Martín region of Peru. Based on surveys of 120 producers, it found that productivity and sustainability positively influence efficient input management, while costs, limited infrastructure, and resistance to change are the main barriers to their adoption
Santillán-Gonzáles, M., Ganoza-Roncal, J., Lobato-Galvez, R., Oliva-Cruz, C., & Arratea-Pillco, D. (2025).
Instituto Nacional de Innovación Agraria (INIA)
Universidad Nacional de Trujillo (UNT)
This study evaluates the impact of intercropping maize with native beans on the morphological growth, yield, and nutritional composition of forage intended for silage in the Peruvian Amazon. Treatments between maize monoculture and bean intercropping are compared, as well as different phenological stages (R2, R4, and R5). The results show improvements in protein, fiber, and productive parameters of the forage when intercropped, especially at stage R4 (Alcoser et al., 2025)
Alcoser Orbe, Y. B., Fernández Teneda, Y. A., Lazo Chávez, J. M., Aquino Chujutalli, D. A., Díaz Chuquizuta, H., Vallejos Torres, G. J., & De la Cruz, A. (2025)
Instituto Nacional de Innovación Agraria (INIA)
1.2% of the 497 productive articulation initiatives (PAI) (same 20 countries; 2023–2025) focus on technology extension services (ECLAC, 2025).
8.9% of the 497 productive articulation initiatives (PAI) (20 countries, 2023–2025) prioritize product or process innovation as their strategic focus, according to the report (ECLAC, 2025).
8,9% de las 497 iniciativas de articulación productiva (IAP) (20 países, 2023–2025) prioriza la innovación en productos o procesos como foco estratégico, según el informe (CEPAL, 2025).
This study evaluates the effect of different bio-ferments on the morphology and quality of cacao (Theobroma cacao L.) seedlings under nursery conditions. Treatments were compared based on parameters such as height, stem diameter, number of leaves, and seedling quality. The results show significant improvements in growth when bio-ferments are applied, highlighting their potential as an agroecological input for early stages of cacao development (Chuquizuta et al., 2025).
Díaz Chuquizuta, P., Díaz Chuquizuta, H., Arévalo Aranda, Y. G., & Cuevas Giménez, J. P. (2025).
Instituto Nacional de Innovación Agraria (INIA)
This study phenotypically characterizes 74 wild accessions of Myrciaria dubia (camu camu) from the INIA ex situ germplasm bank to identify variability relevant for genetic improvement, conservation, and sustainable use programs. Morphological, physical, and fruit quality characteristics were evaluated, revealing a wide diversity that can be used to select genotypes with higher yield and quality Imán (Correa et al., 2025).
Imán Correa, S. A., Samanamud Curto, A. F., Ramírez, J. F., Cobos, M., & Castro, J. C. (2025).
Instituto Nacional de Innovación Agraria (INIA)
This study assessed the use of coffee by-products (mucilage, pulp, and yogurt) as starter cultures in semi-wet fermentation. Significant sugar reduction and enhanced formation of desirable aromatic compounds raised the cup score from 84 (control) to 86.7, qualifying it as specialty coffee (Díaz Medina, J. A. et al., 2024).
Díaz Medina, J. A., Castro Cifuentes, A. G., Rodríguez Morales, A. M., Lozano Sandoval, F. C., & Ramírez Cadavid, D. A. (2024).
Universidad del Valle, Colombia
Ministerio de Ciencia, Tecnología e Innovación (Colombia)
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.
100% of large-scale U.S. agricultural producers use satellite information, much of it generated by NASA, to feed their automated precision agriculture systems for irrigation, fertilization, and other activities (Velásquez, A., 2025).
100% de los productores agrícolas estadounidenses de gran escala utilizan información satelital, gran parte de ella generada por la NASA, para alimentar sus sistemas de agricultura de precisión automatizados para riego, fertilización y otras actividades (Velásquez, A., 2025).
Velásquez, A. (2025). Estudios arqueológicos del aguacate en Mesoamérica. Editorial Académica.
1% of GDP exceeds Brazil's investment in science and technology, being the only country in Latin America and the Caribbean that reaches this threshold, according to CAF's Agricultural Prosperity Strategy based on UNESCO data (Velásquez, A., 2025).
1% del PIB supera la inversión en ciencia y tecnología de Brasil, siendo el único país de América Latina y el Caribe que alcanza este umbral, según la Estrategia de Prosperidad Agropecuaria de CAF basada en datos de la UNESCO (Velásquez, A., 2025).
Velásquez, A. (2025). Estudios arqueológicos del aguacate en Mesoamérica. Editorial Académica.
