The classification, detection and ‘SMART’ control of the nine sins of tea fraud

Yicong Li (Advisor)
Christopher Elliott (Contributor)
Awanwee Petchkongkaew (Advisor)
Wu, D. (Advisor)

School of Biological Sciences

Activity: Talk or presentation types › Oral presentation

Period	14 Jun 2024
Event title	Food Fraud unmasked Symposium
Event type	Conference
Location	Dublin, IrelandShow on map
Degree of Recognition	International

Documents & Links

Food_Fraud_Unmasked_Final_Programme (2024-06-09)
File: application/pdf, 208 KB
Type: Text

Related content

Student theses
The application of artificial intelligence in food fraud detection: a case study on the geographical origin discrimination of black tea
Student thesis: Doctoral Thesis › Doctor of Philosophy