News related to covid-19

A customer scanning a food item at an automated check-out, an icon banner at the bottom that says Ontario Agri-Food Innovation Alliance Research, 2020/21 Agri-Food Yearbook

Say hello to more automated shopping

Technological advancements in shopping systems, particularly automated shopping, have shown value during the COVID-19 pandemic. Dr. Simon Somogyi, a professor in the School of Hospitality, Food and Tourism Management, has looked at consumer behaviour patterns in grocery stores and how technological advancements can limit contact between shoppers. 

Social Media Prove a Reliable Predictor of COVID-19 Waves: U of G Study

A veterinary and computer science research team led by professors Dr. Rozita Dara (School of Computer Science) and Dr. Shayan Sharif (Department of Pathobiology) has developed a system using artificial intelligence (AI) and machine learning to detect outbreak locations and predict infectious diseases’ capacity to spread further.

Originally focused on tracking global outbreaks of avian influenza, the research has recently expanded to use social media to predict waves of COVID-19.

Woman wearing a mask and gloves looking at meat in a grocery store. Accompanying caption: Laboratory Services Division received accreditation for 93 tests by the Standards Council of Canada (SCC)

#BehindtheNumbers: 93 accredited tests for food quality and safety

The Laboratory Services Division is accredited by the Standards Council of Canada (SCC) and the Canadian Association of Laboratory Accreditation to the International Organization of Standardization standard 17025 (ISO/IEC 17025:2017).

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