השוואת שיטות
סקרו את השיטות שבחרתם זו לצד זו; שורות שבהן יש הבדל מודגשות.
| סימולציית אחסון לאחר קטיף× | פרוטוקול קירור× | |
|---|---|---|
| תחום | גננות | גננות |
| משפחה | Process / pipeline | Process / pipeline |
| שנת המקור≠ | 2001 | 1950 |
| הוגה השיטה≠ | Luc Tijskens and Bart Nicolaï | Agricultural postharvest research |
| סוג≠ | computational modeling pipeline | storage conditions management pipeline |
| מקור מכונן≠ | 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 ↗ |
| כינויים | shelf life prediction, storage modeling, quality decay simulation | refrigerated storage, cold chain management, temperature-controlled storage |
| קשורות | 4 | 4 |
| תקציר≠ | 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. |
| ScholarGateמערך נתונים ↗ |
|
|