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Simulointi jälkikypsytysvarastoinnissa×Kypsyysindeksi×
TieteenalaPuutarhatiedePuutarhatiede
MenetelmäperheProcess / pipelineProcess / pipeline
Syntyvuosi20011970
KehittäjäLuc Tijskens and Bart NicolaïPomology and horticulture research
Tyyppicomputational modeling pipelinemulti-parameter assessment pipeline
AlkuperäislähdeTijskens, 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 ↗Pratt, H. K., & Goeschl, J. D. (2006). Physiological roles of ethylene in plants. Annual Review of Plant Physiology, 20, 541–566. DOI ↗
Rinnakkaisnimetshelf life prediction, storage modeling, quality decay simulationmaturity index, harvest readiness assessment, fruit maturation scoring
Liittyvät44
TiivistelmäPostharvest 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.Ripeness index combines multiple quality measurements—soluble solids, firmness, color, starch degradation, ethylene production—into a single composite score indicating fruit maturity and harvest readiness. Unlike single-parameter metrics, this integrated approach accounts for cultivar variation and environmental influence to predict consumer acceptability more reliably. It is widely adopted in export industries and research settings to standardize harvest decisions.
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ScholarGateVertaile menetelmiä: Postharvest Storage Simulation · Ripeness Index. Haettu 2026-06-19 osoitteesta https://scholargate.app/fi/compare