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Postharvest Storage Simulation/Evidence
Method evidence record

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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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Computational Storage Life Prediction and Quality Modeling
Taxonomic method record · process-pipeline / horticulture
  • 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. · URL
  • 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. · URL
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Curated claims

Claims persisted in the evidence ledger, each with its own assessment.

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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Same method familyBrix Measurementmachine-suggested · Relational suggestion, not evidence.Same method familyCold Storage Protocolmachine-suggested · Relational suggestion, not evidence.Same method familyControlled Atmosphere Storagemachine-suggested · Relational suggestion, not evidence.Same method familyRipeness Indexmachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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