CowApp: Mobile Application for Livestock Farm Management Using RFID Technology

UDC.coleccionPublicacións UDC
UDC.conferenceTitleXoveTIC: impulsando el talento científico (8º. 2025. A Coruña)
UDC.departamentoCiencias da Computación e Tecnoloxías da Información
UDC.endPage130
UDC.grupoInvLaboratorio Interdisciplinar de Aplicacións da Intelixencia Artificial (LIA2)
UDC.institutoCentroCITIC - Centro de Investigación de Tecnoloxías da Información e da Comunicación
UDC.startPage123
dc.contributor.authorReigía-Martínez, Rubén
dc.contributor.authorMartínez Pérez, María
dc.contributor.authorGómez García, Ángel
dc.date.accessioned2026-09-18T16:43:56Z
dc.date.available2026-09-18T16:43:56Z
dc.date.issued2025
dc.descriptionPresentado en: VIII Congreso Xove TIC: impulsando el talento científico. Octubre, 2025, A Coruña.
dc.description.abstract[Abstract] In the complex world of livestock farming, producers face daily tasks ranging from animal health and production management to record-keeping and documentation. Often, farmers must handle administrative tasks in addition to ensuring the welfare and performance of their animals. The application, developed in React Native, is designed to simplify and optimize daily farm operations while ensuring mobile compatibility. It features an intuitive interface for centralized management of animal and farm data. The backend, built with Spring Boot using JPA and Hibernate, provides a robust and efficient system for data storage and processing. MySQL is used to ensure data integrity and security. The application covers everything from detailed monitoring of animal health and production to replacing daily paper records, giving farm staff confidence that all essential information is available at any time. Additionally, through RFID technology, farmers can quickly access relevant animal data, receive notifications for medicine administration, and export information as PDF files. In summary, the application not only simplifies data collection and management but also provides tools for informed decision-making. By generating charts and visual representations of production, health, and other key metrics, it allows for deeper analysis of livestock performance, helping farmers identify trends and make decisions to improve animal health and productivity.
dc.identifier.citationReigía-Martínez, R., Martínez Pérez, M., & Gómez García, Á. (2026). CowApp: Mobile Application for Livestock Farm Management Using RFID Technology. In Proceedings XoveTIC 2025: Impulsando el talento científico (pp. 123-130). Servizo de Publicacións UDC. https://doi.org/10.17979/spu.23.c26
dc.identifier.doi10.17979/spu.23.c26
dc.identifier.isbn978-84-9749-925-5
dc.identifier.urihttps://hdl.handle.net/2183/49320
dc.language.isoeng
dc.publisherUniversidade da Coruña, Servizo de Publicacións
dc.relation.urihttps://doi.org/10.17979/spu.23.c26
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectLivestock farm management
dc.subjectRFID technology
dc.subjectMobile application development
dc.subjectAnimal health monitoring
dc.subjectPrecision livestock farming
dc.titleCowApp: Mobile Application for Livestock Farm Management Using RFID Technology
dc.typeconference output
dspace.entity.typePublication
relation.isAuthorOfPublication6c95ee15-0ba0-4ee3-8884-8948bb2ee571
relation.isAuthorOfPublication29e6d257-7aab-4d8c-bf2d-007f2edffb9d
relation.isAuthorOfPublication.latestForDiscovery6c95ee15-0ba0-4ee3-8884-8948bb2ee571

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