Data and Artificial Intelligence for Food

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Title: Data and Artificial Intelligence for Food

Speaker: Rozita Dara | University of Guelph

Date: February 14

Time: 4 pm

Room: LH3058 (Lazaridis Hall (Math Boardroom), Room 3058) & Hybrid

Abstract

With the rapid growth of the population and the increasing demand for food worldwide, there is a growing interest in using digital technologies such as the Internet of Things (IoT), artificial intelligence, and robotics to improve agriculture and food production and sustainability. This requires the collection of large amounts of data from diverse data sources in the food supply chain and effectively integrating, processing, and using them to improve practices and decision-making. However, a number of challenges exist which prohibit the effective use of data and digital technologies in the food supply chain. This talk provides a review of these challenges and potential solutions. With an emphasis on the design thinking approach and data-first mindset, this talk presents case studies on how data and digital technologies can be used responsibly and effectively to build a more resilient food supply chain.

Bio

Dr. Dara is the associate professor and the Director of AI4Food research initiative at the University of Guelph. Her research interest includes applied artificial intelligence and data governance with a particular focus on digital agriculture and food. Since joining the University of Guelph, she has been spearheading several initiatives related to digital agri-food including agri-food data platforms, data trust frameworks (privacy, policy, and confidentiality), and automation.