Meat traceability system using augmented reality
The objective was to develop a mobile application for meat product traceability aimed at MiPyMEs, using augmented reality [AR] to display detailed information to consumers about production and distribution processes, thereby fostering digitalization and strengthening consumer trust. The Scrum methodology [SCRUMstudy, 2025] was employed using short iterations, relative estimation, and continuous user reviews, enabling value prioritization and scope adaptation. The result was a functional beta version for meat product traceability named Biosello, developed using MySQL, a API REST, and GitHub Actions. The system integrates administrator, employee, and customer profiles, and incorporates functionalities for managing information, batches, and inventory, generating and viewing QR codes, product traceability, and augmented reality visualization.
Authors
- J.E. Cobos-Velasco (ORCID: https://orcid.org/0000-0001-5243-3471)
- Yucels Anaí Del Carmen-Morales (ORCID: https://orcid.org/0000-0003-2738-4780)
- Ana María Felipe Redondo (ORCID: https://orcid.org/0000-0002-8579-6532)
- Heidi Del Carmen-Morales (ORCID: https://orcid.org/0000-0002-9686-1838)
Institutions
- Universidad Tecnologica de la Huasteca Hidalguense (MX)
Publication Details
- Journal
- Revista de Tecnologías de la Información y Comunicaciones
- Published
- 2026-11-04
- DOI
- https://doi.org/10.35429/jitc.2026.10.21.1.1.16
- Primary Topic
- Food Supply Chain Traceability
- Type
- article
- Field-Weighted Citation Impact
- 0.00