Enabling Consumers to Trace the Origin of Goat Meat from Farm to Fork through a Mobile-Based Traceability App

Aim of the Study: The study was focused on creating a traceable mutton production system that would capture and integrate data from mutton-producing animals throughout the production, processing, and distribution phases. It also sought to bring out consumer transparency by allowing mutton tracing from farm to fork via an Android-based mobile application and QR code technology. Methodology: The study was conducted in the Skardu District of the Gilgit-Baltistan region, where data was collected from sixty goats at different stages of the value chain. Findings: The statistical analysis revealed that the goats mostly slaughtered were of age 2.25 years or older, with black as a predominant coat color. Age and weight distribution also showed variations due to market preference and production trends. The introduction of QR code technology made it possible for the consumers to fetch information about the attributes of the meat, such as the age of the animal, breed, and processing history, thereby earning more trust and confidence in the market. This digital traceability system improved awareness and transparency for consumers while ensuring accountability and quality control for the whole meat supply chain. Conclusion: The investigation concluded that the end consumer's ability to trace the history and origin of goat meat along with the entire value chain via an android-based mobile application, "MeaTrax," has been tested and confirmed by the application of smart technologies, mainly QR codes, the internet, and smartphones. These findings indicate the potential of digital traceability solutions in promoting transparency, safety of food, and informed consumer choices in the livestock industry.