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	Symulacja przechowywania po zbiorach	Protokół chłodniczego przechowywania
Dziedzina	Ogrodnictwo	Ogrodnictwo
Rodzina	Process / pipeline	Process / pipeline
Rok powstania	2001	1950
Twórca	Luc Tijskens and Bart Nicolaï	Agricultural postharvest research
Typ	computational modeling pipeline	storage conditions management pipeline
Źródło pierwotne	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.
Inne nazwy	shelf life prediction, storage modeling, quality decay simulation	refrigerated storage, cold chain management, temperature-controlled storage
Pokrewne	4	4
Podsumowanie	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.