Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Control climático de invernaderos× | Simulación de Almacenamiento Postcosecha× | |
|---|---|---|
| Campo | Horticultura | Horticultura |
| Familia | Process / pipeline | Process / pipeline |
| Año de origen≠ | 1990 | 2001 |
| Autor original≠ | Modern horticultural engineering | Luc Tijskens and Bart Nicolaï |
| Tipo≠ | control systems pipeline | computational modeling pipeline |
| Fuente seminal≠ | Stanghellini, C. (2003). Transpiration in greenhouse horticulture: An introduction. Acta Horticulturae, 618, 101–111. 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 ↗ |
| Alias | climate management, environmental control, HVAC optimization | shelf life prediction, storage modeling, quality decay simulation |
| Relacionados≠ | 3 | 4 |
| Resumen≠ | Greenhouse climate control integrates measurement, modeling, and automated actuation to maintain optimal temperature, humidity, light, and CO₂ concentrations for plant growth. Modern systems use sensors and control algorithms to respond dynamically to external weather and internal plant needs. This approach increases yield, shortens crop cycles, reduces disease pressure, and improves energy efficiency compared to manual or static setpoint controls. | 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. |
| ScholarGateConjunto de datos ↗ |
|
|