Сравнение методов

	Климат-контроль в теплицах	Моделирование хранения после сбора урожая
Область	Садоводство	Садоводство
Семейство	Process / pipeline	Process / pipeline
Год появления	1990	2001
Автор метода	Modern horticultural engineering	Luc Tijskens and Bart Nicolaï
Тип	control systems pipeline	computational modeling pipeline
Основополагающий источник	Stanghellini, C. (2003). Transpiration in greenhouse horticulture: An introduction. Acta Horticulturae, 618, 101–111.	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.
Другие названия	climate management, environmental control, HVAC optimization	shelf life prediction, storage modeling, quality decay simulation
Связанные	3	4
Сводка	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.