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, 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.

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Publication Details

Journal
Current Research in Nutrition and Food Science Journal
Published
2025-11-20
DOI
https://doi.org/10.12944/crnfsj.13.3.21
Citations
1
Primary Topic
Consumer Attitudes and Food Labeling
Type
article
Field-Weighted Citation Impact
1.88
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article

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

M. Meenakshi, Priya Kolappalur Mariappan, Pushpalatha Gurappa
1 citations
Current Research in Nutrition and Food Science Journal
Consumer Attitudes and Food Labeling
1.88
article

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

M. Meenakshi, Priya Kolappalur Mariappan, Pushpalatha Gurappa
article en
1 citations

Abstract

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.

Current Research in Nutrition and Food Science JournalVol. 13(3)
Magadh University (IN), REVA University (IN), Dr. Hari Singh Gour University (IN)
Openalex Percentile: Top 11%
Consumer Attitudes and Food Labeling
1.88
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Artificial Intelligence-Enabled QR Codes in Nutrition Labelling: A Conceptual Paper — M. Meenakshi, Priya Kolappalur Mariappan, et al. · Current Research in Nutrition and Food Science Journal (2025) | TGRS Research Map | TGRS