Inteligencia Artificial en la agricultura de precisión: Tendencias y direcciones futuras
DOI:
https://doi.org/10.35588/mwfneb13Palabras clave:
agricultura de precisión, inteligencia artificial, sostenibilidad agrícola, adopción tecnológicaResumen
La demanda de la producción agrícola mundial ha conllevado a la búsqueda de diferentes herramientas que contribuyan a la gestión optima de los recursos. Esta pesquisa presenta un mapeo bibliométrico sobre el uso de la inteligencia artificial en la agricultura de precisión a través del análisis de 479 artículos publicados entre 2019 y 2024 en las bases de datos Scopus y Web of Science permitiendo identificar una mayor producción científica en países con fuerte inversión tecnológica. La inteligencia artificial ha revolucionado la agricultura de precisión mediante el uso de sensores, aprendizaje automático, robótica y análisis predictivo permitiendo mejorar la productividad, reducir costos y mitigar impactos ambientales; lo que ha permitido el desarrollo de líneas de investigación que incluyen el monitoreo de cultivos, detección temprana de enfermedades, riego inteligente y agricultura sostenible. No obstante, la adopción enfrenta barreras como la brecha digital, altos costos iniciales y limitada capacitación técnica en zonas rurales, por lo cual, si se visiona una agricultura más eficiente, resiliente e inclusiva se debe hacer una implementación estratégica, gradual y adaptada al contexto.
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Derechos de autor 2025 Dr. Oscar Fabian Patiño Perdomo, Dr. Víctor Julio Balanta Martínez, Dr. Wilmer Arley Patiño Perdomo, Paula Andrea Sánchez Orozco, Dr. Jesús Emilio Pinto Lopera
Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.
