Herramientas tecnológicas basadas en inteligencia artificial en la industria azucarera: un análisis bibliométrico y perspectivas de futuro para la eficiencia energética

Autores/as

  • Hugo Gaspar Hernandez-Palma Universidad EAN
  • Jonny Rafael Plaza Alvarado Corporación Universitaria Iberoamericana
  • Jesús Enrique García Guiliany Corporación Universitaria Latinoamericana
  • Andrea Liliana Moreno Rios Universidad de Cartagena

DOI:

https://doi.org/10.17981/ladee.04.02.2023.4

Palabras clave:

Avances tecnológicos, industria azucarera, inteligencia artificial

Resumen

Introducción: La aplicación de la Inteligencia Artificial –IA– en la producción industrial de azúcar, particularmente en la gestión de sistemas y datos de sensores, está evolucionando rápidamente hacia programas de monitoreo en tiempo real que ofrecen valiosas recomendaciones y apoyo a la toma de decisiones dentro de la industria azucarera. Metodología: Este análisis bibliométrico integral de 125 artículos indexados en Scopus destaca tendencias significativas en el campo, incluidos aumentos repentinos en la producción de artículos durante 2017, 2018, 2021 y 2022, que representan el 34% del total de publicaciones. Resultados: La producción científica en este ámbito creció un 3.93% entre 1969 y 2023. La mayor parte de la investigación (81%) se originó en países clave, incluidos Australia, Brasil, India, China, Filipinas, Estados Unidos y Francia. Las revistas destacadas desempeñaron un papel fundamental, representando el 19% de las publicaciones. Entre los autores destacables se encuentran Attard, Everingham, Meng y Sexton, con cuatro artículos publicados cada uno. Cabe destacar que el 88% de los investigadores en este campo son transitorios. Este estudio subraya el crecimiento dinámico de las aplicaciones de inteligencia artificial en la producción de azúcar, enfatizando la sostenibilidad en la gestión de datos y sistemas. Conclusiones: La integración efectiva de estas tecnologías puede mejorar las prácticas de sostenibilidad, optimizando la eficiencia y la calidad en toda la cadena de suministro de la producción de azúcar, contribuyendo al logro del Objetivo de Desarrollo Sostenible 9. Esto se debe a que el uso de inteligencia artificial para optimizar la producción industrial de azúcar representa una innovación tecnológica que puede mejorar la eficiencia y la infraestructura de la industria azucarera. Esto, a su vez, puede contribuir a lograr el desarrollo sostenible a escala global.

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Publicado

2023-12-17

Cómo citar

Hernandez-Palma, H. G., Plaza Alvarado, J. R., García Guiliany, J. E., & Moreno Rios, A. L. (2023). Herramientas tecnológicas basadas en inteligencia artificial en la industria azucarera: un análisis bibliométrico y perspectivas de futuro para la eficiencia energética. LADEe Latin American Developments in Energy Engineering, 4(2), 49–64. https://doi.org/10.17981/ladee.04.02.2023.4

Número

Vol. 4 Núm. 2 (2023): Julio-Diciembre

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Derechos de autor 2023 Hugo Gaspar Hernandez-Palma, Jonny Rafael Plaza Alvarado, Jesús Enrique García Guiliany, Andrea Liliana Moreno Rios

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