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Linganisha mbinu

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Uchambuzi wa Rangi ya Matunda×Uigaji wa Uhifadhi Baada ya Mavuno×
NyanjaKilimo cha BustaniKilimo cha Bustani
FamiliaProcess / pipelineProcess / pipeline
Mwaka wa asili19762001
MwanzilishiCommission Internationale de l'Eclairage (CIE)Luc Tijskens and Bart Nicolaï
Ainaoptical measurement pipelinecomputational modeling pipeline
Chanzo asiliaMcGuire, R. G. (1992). Reporting objective color measurements. HortScience, 27(12), 1254–1255. DOI ↗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. link ↗
Majina mbadalacolor grading, chromatic analysis, colorimetry, ripeness gradingshelf life prediction, storage modeling, quality decay simulation
Zinazohusiana44
MuhtasariFruit color analysis employs spectrophotometric measurement to quantify ripeness and quality based on chromatic properties. Using the CIE L*a*b* color space, introduced in 1976, this non-destructive method objectively grades fruit maturity and predicts sensory acceptability. It is widely applied in commercial sorting lines and research settings for precision quality control.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.
ScholarGateSeti ya data
  1. v1
  2. 2 Vyanzo
  3. PUBLISHED
  1. v1
  2. 2 Vyanzo
  3. PUBLISHED

Nenda kwenye utafutaji Pakua slaidi

ScholarGateLinganisha mbinu: Fruit Color Analysis · Postharvest Storage Simulation. Imepatikana 2026-06-18 kutoka https://scholargate.app/sw/compare