Uso de Inteligencia Artificial en Ganadería: Revisión de la Literatura

Autores/as

DOI:

https://doi.org/10.33448/rsd-v12i4.40777

Palabras clave:

Agronegocios; Eficiencia productiva; Gestión; Tecnología.

Resumen

El uso de soluciones tecnológicas mejora la eficiencia y sostenibilidad de la agricultura, como el uso de la inteligencia artificial (IA), que es un campo interdisciplinario que puede cambiar el paradigma agrícola a algo diferente al actual. Las soluciones impulsadas por IA no solo permiten a los productores hacer más con menos, sino que también mejoran la calidad y aseguran que los cultivos lleguen al mercado más rápido. Dada la relevancia del tema y la información presentada, esta revisión integrativa de la literatura tiene como objetivo abordar y resaltar la importancia y la posibilidad de utilizar la Inteligencia Artificial en Ganadería. Se realizó una revisión bibliográfica para recolectar información y datos disponibles sobre el uso y aplicación de inteligencia artificial en ganadería, donde la búsqueda y recopilación de los datos se dio a través de las herramientas de búsqueda de Google, Google Scholar, SCIELO -Biblioteca Electrónica Científica y Ministerio de Educación. Agricultura, Ganadería y Abastecimiento. Cuando observamos el uso de la inteligencia artificial en la ganadería, podemos inferir que su implementación brinda la posibilidad de identificar y contar de forma remota los animales, el comportamiento animal y la formación de una base de datos, más precisamente, de un animal individual o una propiedad, lo que permite al productor y técnico responsable de trazar estrategias que maximicen la producción y reduzcan costos, además de desarrollar un negocio sustentable.

Citas

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Publicado

27/03/2023

Cómo citar

SILVA, A. M. da .; SANTOS, F. K. dos .; MACHADO, P. B. .; BERGHAHN, L. G. .; CAMPOS, G. P. de .; ARAÚJO, C. V. de; ARAÚJO, S. I.; MENEZES, F. L. de . Uso de Inteligencia Artificial en Ganadería: Revisión de la Literatura. Research, Society and Development, [S. l.], v. 12, n. 4, p. e6612440777, 2023. DOI: 10.33448/rsd-v12i4.40777. Disponível em: https://rsdjournal.org/index.php/rsd/article/view/40777. Acesso em: 21 nov. 2024.

Número

Sección

Ciencias Agrarias y Biológicas