Development of an RFID-Based Record Management Web Portal for Goats Towards Precision Livestock Farming
For sustainable and profitable livestock production, precision livestock farming necessitates the formulation of optimal husbandry and management practices across various aspects, including tracking individual animal pedigrees, monitoring milk production performance, assessing health status, managing feeding and nutrition, making culling decisions, and implementing selective breeding. Data-driven decision-making is essential in these practices, and comprehensive and efficient record keeping is fundamental to producing the reliable data needed for them. This paper presents the design and development of an RFID-based record management system tailored for small to medium-sized goat farms, specifically implemented at the Small Ruminant Center of Central Luzon State University. The system integrates RFID technology to streamline data capturing and management processes, enhancing the efficiency of routine herd operations such as milking, weighing, and health treatments. The system comprises four primary components: animal identification and data capturing, task management, financial management, and real-time reporting and data analysis. Upon deployment, practical enhancements were made based on real-world usage, including improved security measures, streamlined data input processes, and enhanced user notifications. The system was evaluated by IT experts using ISO/IEC 25010 criteria, receiving high ratings across functionality, performance, and compatibility. This system will contribute to the advancement of record management practices for goat farming, leading to increased production and improved livelihoods for small ruminant farmers in the Philippines.
Authors
- Kier Gumangan Santiago
- Khavee Agustus Botangen (ORCID: https://orcid.org/0000-0002-7128-4288)
- Neal Del Rosario (ORCID: https://orcid.org/0000-0002-4079-5421)
- Aaron Jay Gabato
- Joshua Vendivil
- Bea Alessandra Sison
Institutions
- Central Luzon State University (PH)
Publication Details
- Published
- 2024-12-12
- DOI
- https://doi.org/10.1109/icoco62848.2024.10928232
- Citations
- 2
- Primary Topic
- Food Supply Chain Traceability
- Type
- article
- Field-Weighted Citation Impact
- 0.70
Funders
- Research and Development