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BEGIN:VEVENT
UID:20250813T201806EDT-00255fDCSK@132.216.98.100
DTSTAMP:20250814T001806Z
DESCRIPTION:Coffee consumption is rising globally\, especially for single-o
 rigin specialty coffee. This surge in demand has led to more cases of geog
 raphical origin fraud\, requiring effective tools to verify coffee origins
 . In a recent study\, Dr. Biniam Kebede and his team applied a multi-omics
  and machine learning approach to analyze 24 green coffee bean samples (Ar
 abica\, wet-washed) from 3 continents\, 8 countries\, and 22 regions. Mult
 i-omics techniques included geochemistry\, MS and NMR-based metabolomics\,
  and vibrational spectroscopy. Various (non)linear machine learning models
  were explored. NIR-coupled hyperspectral imaging showed strong potential 
 due to its ability to analyze large volumes of beans for more accurate ori
 gin traceability.\n\nThe Virtual Seminar Series on Food Authenticity is or
 ganized by researchers and students at ºÚÁϲ»´òìÈ and the University of Guelph
 .\n\nThe event is virtual and will take place over Zoom.\n\nZoom link\n\nA
 bout the speaker: Dr. Biniam Kebede\n\nDr. Biniam Kebede holds a PhD in Bi
 oscience Engineering from KU Leuven (Belgium)\, has worked in New Zealand 
 and will be joining the University of Guelph (Canada) as an Assistant Prof
 essor on December 1\, 2024.\n\nHis active research areas include: (i) unde
 rstanding process-structure-function relations as a basis for (reverse) en
 gineering approaches to create safe and healthier food products with excel
 lent sensory qualities in a sustainable way and (ii) developing innovative
 \, non-invasive sensors and techniques coupled with machine learning and A
 I\, for the agri-food industry.\n
DTSTART:20241031T190000Z
DTEND:20241031T200000Z
LOCATION:Zoom
SUMMARY:Food Authenticity Seminar Series: Machine learning-driven hyperspec
 tral imaging for origin traceability of green coffee
URL:/macdonald/channels/event/food-authenticity-semina
 r-series-machine-learning-driven-hyperspectral-imaging-origin-traceability
 -360143
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