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...
| Publicado en: | Current Research in Nutrition & Food Science Vol. 13; no. 3; pp. 1307 - 1320 |
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| Autores principales: | , , |
| Formato: | research tables/charts Journal Article |
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Current Research in Nutrition & Food Science
Dec2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=191099355&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 191099355 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 2347467X KIVQ jtl: Current Research in Nutrition & Food Science issn: 2347467X maglogo: N pubinfo: dt: Dec2025 vid: 13 iid: 3 pid: 25572 pub: Current Research in Nutrition & Food Science artinfo: ui: 191099355 191099355 191099355 10.12944/CRNFSJ.13.3.21 191099355 ppf: 1307 ppct: 13 formats: fmt: @attributes: type: P tig: atl: Artificial Intelligence-Enabled QR Codes in Nutrition Labelling: A Conceptual Paper. aug: au: MARIAPPAN, PRIYA KOLAPPALUR MEENAKSHI GURAPPA, PUSHPALATHA affil: Department of Commerce and Management Studies, Dayananda Sagar University, City Innovation Campus, Bengaluru, India sug: subj: Artificial Intelligence Bar Coding Food Labeling Conceptual Framework Human Secondary Analysis Qualitative Studies Consumer Health Information Health Food Food Preferences Access to Healthy Foods Health Promotion Feedback Empowerment Data Security Privacy and Confidentiality Policy Making Information Retrieval Information Storage Analytic Research ab: 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. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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