Compara mètodes
Revisa els mètodes seleccionats l'un al costat de l'altre; les files que difereixen es ressalten.
| Simulació d'Emmagatzematge Postcollita× | Protocol d'emmagatzematge en fred× | |
|---|---|---|
| Camp | Horticultura | Horticultura |
| Família | Process / pipeline | Process / pipeline |
| Any d'origen≠ | 2001 | 1950 |
| Autor original≠ | Luc Tijskens and Bart Nicolaï | Agricultural postharvest research |
| Tipus≠ | computational modeling pipeline | storage conditions management pipeline |
| Font 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. link ↗ | Kays, S. J., & Paull, R. E. (2004). Postharvest Biology (2nd ed.). Exon Press. link ↗ |
| Àlies | shelf life prediction, storage modeling, quality decay simulation | refrigerated storage, cold chain management, temperature-controlled storage |
| Relacionats | 4 | 4 |
| Resum≠ | 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. |
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