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Моделирование хранения после сбора урожая×Протокол холодового хранения×
ОбластьСадоводствоСадоводство
СемействоProcess / pipelineProcess / pipeline
Год появления20011950
Автор методаLuc Tijskens and Bart NicolaïAgricultural postharvest research
Типcomputational modeling pipelinestorage conditions management pipeline
Основополагающий источникTijskens, 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 ↗
Другие названияshelf life prediction, storage modeling, quality decay simulationrefrigerated storage, cold chain management, temperature-controlled storage
Связанные44
СводкаPostharvest 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 данных
  1. v1
  2. 2 Источники
  3. PUBLISHED
  1. v1
  2. 2 Источники
  3. PUBLISHED

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ScholarGateСравнение методов: Postharvest Storage Simulation · Cold Storage Protocol. Получено 2026-06-17 из https://scholargate.app/ru/compare