ScholarGate
Msaidizi

Linganisha mbinu

Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.

Uigaji wa Uhifadhi Baada ya Mavuno×Kipimo cha Brix×
NyanjaKilimo cha BustaniKilimo cha Bustani
FamiliaProcess / pipelineProcess / pipeline
Mwaka wa asili20011874
MwanzilishiLuc Tijskens and Bart NicolaïCarl Zeiss
Ainacomputational modeling pipelineoptical measurement pipeline
Chanzo asiliaTijskens, 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 ↗AOAC International. (2005). Official Methods of Analysis of AOAC International (18th ed.). AOAC International. link ↗
Majina mbadalashelf life prediction, storage modeling, quality decay simulationsoluble solids measurement, sugar content analysis, refractometry
Zinazohusiana44
MuhtasariPostharvest 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.Brix measurement quantifies the dissolved solids (primarily sugars) in fruit juice using refractometry, a non-destructive optical technique. Introduced by Carl Zeiss in the 19th century and standardized by AOAC, it is the universal industry standard for assessing fruit ripeness and quality in horticulture and postharvest processing.
ScholarGateSeti ya data
  1. v1
  2. 2 Vyanzo
  3. PUBLISHED
  1. v1
  2. 2 Vyanzo
  3. PUBLISHED

Nenda kwenye utafutaji Pakua slaidi

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