Bandingkan metode

	Simulasi Penyimpanan Pasca Panen	Indeks Kematangan
Bidang	Hortikultura	Hortikultura
Keluarga	Process / pipeline	Process / pipeline
Tahun asal	2001	1970
Pencetus	Luc Tijskens and Bart Nicolaï	Pomology and horticulture research
Tipe	computational modeling pipeline	multi-parameter assessment pipeline
Sumber perintis	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.	Pratt, H. K., & Goeschl, J. D. (2006). Physiological roles of ethylene in plants. Annual Review of Plant Physiology, 20, 541–566.
Alias	shelf life prediction, storage modeling, quality decay simulation	maturity index, harvest readiness assessment, fruit maturation scoring
Terkait	4	4
Ringkasan	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.	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.