Сравнение на методи
Прегледайте избраните методи един до друг; редовете с разлики са откроени.
| Симулация на съхранение след прибиране на реколтата× | Протокол за студено съхранение× | |
|---|---|---|
| Област | Градинарство | Градинарство |
| Семейство | Process / pipeline | Process / pipeline |
| Година на възникване≠ | 2001 | 1950 |
| Създател≠ | Luc Tijskens and Bart Nicolaï | Agricultural postharvest research |
| Тип≠ | computational modeling pipeline | storage conditions management pipeline |
| Основополагащ източник≠ | 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 ↗ |
| Други названия | shelf life prediction, storage modeling, quality decay simulation | refrigerated storage, cold chain management, temperature-controlled storage |
| Свързани | 4 | 4 |
| Резюме≠ | 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. |
| ScholarGateНабор от данни ↗ |
|
|