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저장 후 신선도 유지 시뮬레이션×숙성도 지수×
분야원예학원예학
계열Process / pipelineProcess / pipeline
기원 연도20011970
창시자Luc Tijskens and Bart NicolaïPomology and horticulture research
유형computational modeling pipelinemulti-parameter assessment pipeline
원전Tijskens, 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 ↗
별칭shelf life prediction, storage modeling, quality decay simulationmaturity index, harvest readiness assessment, fruit maturation scoring
관련44
요약Postharvest 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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ScholarGate방법 비교: Postharvest Storage Simulation · Ripeness Index. 2026-06-19에 다음에서 검색함: https://scholargate.app/ko/compare