Development of the Food Label Information Program: A Comprehensive Canadian Branded Food Composition Database

Development of the Food Label Information Program: A Comprehensive Canadian Branded Food Composition Database

ObjectivesTraditional methods for creating food composition databases struggle to cope with the large number of products and the rapid pace of turnover in the food supply. This paper introduces Food Label Information Program (FLIP), a big data approach to the evaluation of the Canadian food supply a...

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Bibliographic Details
Main Authors: Mavra Ahmed, Alyssa Schermel, Jennifer Lee, Madyson Weippert, Beatriz Franco-Arellano, Mary L'Abbé
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-02-01
Series:Frontiers in Nutrition
Subjects:
branded food database
food composition
packaged foods
artificial intelligence
Optical Character Recognition
nutrition facts table
Online Access:https://www.frontiersin.org/articles/10.3389/fnut.2021.825050/full

Internet

https://www.frontiersin.org/articles/10.3389/fnut.2021.825050/full

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