Advanced multivariate models for the optimization of nutritional strategies in commercial banana production (Musa AAA)
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https://doi.org/10.56124/sapientiae.v8i17.018%20Palabras clave:
Multivariate models, decision making, nutritional plans, bananasResumen
Este artículo analiza la optimización de los planes nutricionales en la producción de banano, un cultivo clave para la economía de países ubicados en regiones tropicales y subtropicales. Se destaca la importancia de implementar modelos multivariados para mejorar la eficiencia y la productividad en plantaciones comerciales, facilitando la toma de decisiones basadas en datos precisos. La investigación combina el análisis foliar y el análisis de suelo para comprender integralmente el estado nutricional de las plantas. Este enfoque se aplica específicamente al banano. Se utilizaron análisis de componentes principales (ACP) y análisis de conglomerados para identificar patrones y reducir la dimensionalidad de los datos. Se emplearon los métodos de Ward y K-medias para discriminar grupos según la similitud de las condiciones nutricionales. Los resultados permitieron agrupar lotes de banano, identificando estrategias de manejo más efectivas. Además, se observó una alta correlación entre las variables estudiadas, lo que respalda la utilidad de las correlaciones de Pearson en la investigación agrícola. La implementación de modelos multivariados no solo mejora la gestión de nutrientes, sino que también fomenta prácticas agrícolas sostenibles, contribuyendo a la productividad y sostenibilidad del cultivo del banano en un contexto agrícola moderno y dinámico.
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Derechos de autor 2024 Revista Científica Multidisciplinaria SAPIENTIAE. ISSN: 2600-6030
Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-CompartirIgual 4.0.
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