ScholarGate
Assistent

Sammenlign metoder

Gjennomgå de valgte metodene side om side; rader som avviker, er uthevet.

Simulering av lagring etter høsting×Brix-måling×
FagfeltHagebrukHagebruk
FamilieProcess / pipelineProcess / pipeline
Opprinnelsesår20011874
OpphavspersonLuc Tijskens and Bart NicolaïCarl Zeiss
Typecomputational modeling pipelineoptical measurement pipeline
Opprinnelig kildeTijskens, 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 ↗
Aliasshelf life prediction, storage modeling, quality decay simulationsoluble solids measurement, sugar content analysis, refractometry
Relaterte44
SammendragPostharvest 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.
ScholarGateDatasett
  1. v1
  2. 2 Kilder
  3. PUBLISHED
  1. v1
  2. 2 Kilder
  3. PUBLISHED

Gå til søk Last ned lysbilder

ScholarGateSammenlign metoder: Postharvest Storage Simulation · Brix Measurement. Hentet 2026-06-18 fra https://scholargate.app/no/compare