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NozareDārzkopībaDārzkopība
SaimeProcess / pipelineProcess / pipeline
Izcelsmes gads19502001
AutorsAgricultural postharvest researchLuc Tijskens and Bart Nicolaï
Tipsstorage conditions management pipelinecomputational modeling pipeline
PirmavotsKays, S. J., & Paull, R. E. (2004). Postharvest Biology (2nd ed.). Exon Press. link ↗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. link ↗
Citi nosaukumirefrigerated storage, cold chain management, temperature-controlled storageshelf life prediction, storage modeling, quality decay simulation
Saistītās44
KopsavilkumsCold 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.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.
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ScholarGateSalīdzināt metodes: Cold Storage Protocol · Postharvest Storage Simulation. Izgūts 2026-06-17 no https://scholargate.app/lv/compare