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RESEARCH TRENDS AND HOTSPOTS RELATED TO NITROGEN MODELING IN CROPS BASED ON BIBLIOMETRIC ANALYSIS: 2017–2025
TENDENCIAS DE INVESTIGACIÓN RELACIONADAS CON LA MODELIZACIÓN DEL NITRÓGENO EN CULTIVOS AGRÍCOLAS BASADAS EN UN ANÁLISIS BIBLIOMÉTRICO: 2017-2025
DOI:
https://doi.org/10.15446/rev.fac.cienc.v15n2.111705Palabras clave:
agriculture, coffee crop, production, tropical crops, nitrogen dynamics (en)agricultura, cultivo de café, producción, cultivos tropicales, dinámica de nitrógeno (es)
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Simulation models are tools that allow the representation of systems and the evaluation of scenarios, supporting decision-making in crop management. This study systematically identified the knowledge base, recent advances, and research gaps in nitrogen modeling in agricultural systems, with an emphasis on coffee crops. A bibliometric analysis was conducted using data from the ISI Web of Science database for the period 2017–2025, analyzed with VOSviewer software. A total of 640 publications were identified after removing duplicates and refining the dataset. Keyword co-occurrence analysis made it possible to identify the main research trends and thematic areas.
The results show a growing trend in scientific production, with the United States leading in the number of publications and the Chinese Academy of Sciences as the most active institution. Nitrogen models have been predominantly applied to crops such as maize and wheat, while their application to coffee systems remains limited. Despite the wide range of available models, only a small proportion has been specifically adapted to these crops. Most studies rely on data-driven approaches. This highlights a significant research gap and the need to strengthen nitrogen modeling in coffee to improve productivity and sustainability by optimizing resource use and reducing environmental impacts. In this context, future research should focus on developing models adapted to perennial systems, improving nitrogen management strategies, and addressing the specific complexities of coffee production systems.
Los modelos de simulación son herramientas que permiten representar sistemas y evaluar escenarios, apoyando la toma de decisiones en la gestión de cultivos agrícolas. Este estudio identificó sistemáticamente la base de conocimientos, los avances y la brecha de investigación en el modelado del nitrógeno en sistemas agrícolas, con énfasis en el cultivo del café. Se realizó un análisis bibliométrico utilizando datos de la base de datos ISI Web of Science para el periodo 2017-2025, analizados con el software VOSviewer. Se identificaron 640 publicaciones, tras eliminar duplicados y refinar el conjunto de datos. El análisis de coocurrencia de palabras clave permitió identificar las principales tendencias y áreas temáticas. Los resultados muestran una tendencia creciente en la producción científica, con Estados Unidos a la cabeza en número de publicaciones y la Academia China de Ciencias como la institución más activa. Los modelos de nitrógeno se han aplicado predominantemente a cultivos como el maíz y el trigo, mientras que su aplicación a sistemas cafetaleros sigue siendo limitada. A pesar de la amplia gama de modelos disponibles, solo una pequeña proporción se ha adaptado específicamente a estos cultivos. La mayoría de los estudios se basan en enfoques orientados a datos. Esto evidencia la brecha importante de investigación, evidenciando la necesidad de fortalecer la modelización del nitrógeno en café para mejorar la productividad y sostenibilidad, a partir de la optimización del uso de los recursos y reducción del impacto ambiental. En este contexto, las investigaciones futuras deberían centrarse en el desarrollo de modelos adaptados a sistemas perennes, la mejora de las estrategias de gestión del nitrógeno y el abordaje de las complejidades específicas de los sistemas de producción de café.
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