Evaluación del potencial de las series temporales para predecir las propiedades de calidad de la guayaba (Psidium guajava L), variedad enana roja EEA 1-23, durante su conservación a temperatura ambiente
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Abstract
Las técnicas de análisis estadísticos representan una novedosa alternativa que se complementa con la utilización de tecnologías no destructivas aplicadas durante el monitoreo del cambio de propiedades de frutas y vegetales durante su almacenamiento. El presente trabajo tiene como objetivo evaluar el potencial de las series temporales para predecir las propiedades de calidad de la guayaba, durante su conservación a temperatura ambiente. Para ello se realizó un análisis de los resultados obtenidos en trabajos que conciernen a esta temática los cuales poseen cierto reconocimiento internacional donde, para obtener los modelos de predicción para SSC, pH, firmeza y perdida de peso (25 guayabas), se relacionaron los valores reales del contenido de cada propiedad obtenidos a partir de las técnicas tradicionales con los datos predichos utilizando el software especializado Statgraphics 5.1. Como resultado principal se obtuvo que las series temporales suelen ser una herramienta capaz de predecir propiedades de calidad de las frutas para obtener en tiempo real el estado optimo de la guayaba.
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