Artificial Intelligence-Enabled QR Codes in Nutrition Labelling: A Conceptual Paper.

This conceptual paper explores the integration of artificial intelligence (AI) and quick response (QR) codes into nutrition labeling systems to address consumer concerns about food nutrition and the limitations of traditional labels. It highlights how AI-enabled QR codes can provide personalized, re...

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Detalles Bibliográficos
Publicado en:Current Research in Nutrition & Food Science Vol. 13; no. 3; pp. 1307 - 1320
Autores principales: MARIAPPAN, PRIYA KOLAPPALUR, MEENAKSHI, GURAPPA, PUSHPALATHA
Formato: research tables/charts Journal Article
Publicado: Current Research in Nutrition & Food Science Dec2025
Acceso en línea:Ver este registro en EBSCOhost
Descripción
Sumario:This conceptual paper explores the integration of artificial intelligence (AI) and quick response (QR) codes into nutrition labeling systems to address consumer concerns about food nutrition and the limitations of traditional labels. It highlights how AI-enabled QR codes can provide personalized, real-time nutritional information, offering an interactive and tailored consumer experience. The study emphasizes the potential of these technologies to improve accessibility, accuracy, and relevance of information, promoting healthier dietary behaviors. It also discusses challenges such as data privacy and user acceptance while underscoring the transformative potential of AI and QR codes in creating a more health-conscious and informed society.