Sammenlign metoder
Gennemgå dine valgte metoder side om side; rækker, der afviger, er fremhævet.
| Styring af afgrødelast× | Postharvest Storage Simulation× | |
|---|---|---|
| Fagområde | Havebrug | Havebrug |
| Familie | Process / pipeline | Process / pipeline |
| Oprindelsesår≠ | 1960 | 2001 |
| Ophavsperson≠ | Pomology research tradition | Luc Tijskens and Bart Nicolaï |
| Type≠ | management optimization pipeline | computational modeling pipeline |
| Oprindelig kilde≠ | Ackley, W. B., & Wattendorf, R. J. (1962). The relationship of crop load to yield, fruit quality, and return bloom in apples. Proceedings of the American Society for Horticultural Science, 80, 73–83. 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 ↗ |
| Aliasser | fruit thinning, load balancing, fruit density regulation | shelf life prediction, storage modeling, quality decay simulation |
| Relaterede | 4 | 4 |
| Resumé≠ | Crop load management uses quantitative assessment of fruit number and tree vigor to optimize yields and fruit quality through selective thinning and load balancing. This method combines visual assessment of fruitlet density, calculation of target fruit number based on tree age and vigor, physical or chemical thinning, and yield monitoring to achieve the optimal balance between productivity and fruit size and flavor. | 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. |
| ScholarGateDatasæt ↗ |
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