Comparar métodos

	Simulación de Almacenamiento Postcosecha	Protocolo de almacenamiento en frío
Campo	Horticultura	Horticultura
Familia	Process / pipeline	Process / pipeline
Año de origen	2001	1950
Autor original	Luc Tijskens and Bart Nicolaï	Agricultural postharvest research
Tipo	computational modeling pipeline	storage conditions management pipeline
Fuente seminal	Tijskens, L. M., & Polderdijk, J. J. (2001). A generic model for keeping quality of vegetable produce during storage and distribution. Postharvest Biology and Technology, 23(1), 13–25.	Kays, S. J., & Paull, R. E. (2004). Postharvest Biology (2nd ed.). Exon Press.
Alias	shelf life prediction, storage modeling, quality decay simulation	refrigerated storage, cold chain management, temperature-controlled storage
Relacionados	4	4
Resumen	Postharvest storage simulation uses computational models to predict fruit and vegetable quality degradation during storage and distribution under variable temperature and humidity conditions. Pioneered by Tijskens and Nicolaï in 2001, these mechanistic and empirical models enable logistics optimization, reduce food waste, and improve supply chain transparency. They are integrated into decision support systems for commercial packinghouses and research facilities.	Cold storage protocol establishes optimal temperature, humidity, and duration guidelines for preserving fruit and vegetable quality during extended storage. By maintaining precise refrigeration conditions and monitoring produce condition, growers and distributors can extend shelf life from days to weeks or months, enabling long-distance trade and seasonal market smoothing. This foundational postharvest technique is essential to global fresh produce supply chains.