Process / pipelineStorage quality prediction

Postharvest Storage Simulation

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.

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Sources

  1. 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. DOI: 10.1016/S0925-5214(01)00095-2
  2. Hertog, M. L. A. T. M., Nicolaï, B. M., & Tijskens, L. M. (2007). Modelling the effect of storage conditions on the quality of postharvest horticultural produce: a review. Postharvest Biology and Technology, 45(3), 309–320. DOI: 10.1016/j.postharvbio.2006.05.013

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Referenced by

ScholarGatePostharvest Storage Simulation (Computational Storage Life Prediction and Quality Modeling). Retrieved 2026-06-04 from https://scholargate.app/en/horticulture/postharvest-storage-simulation