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Developing individual livestock traceability and consumer information system in food processing of indigenous Hungarian cattle species


Until now, there has not been developed such an individual animal identification and traceability system at national, professional organizational and entrepreneurial levels, which could be used with sufficient specificity, applicable at the scale of the whole farm, the livestock herd and the animal unit at the same time, for the management, slaughtering, cutting, weighing, production, stocking, marketing, sales, food safety monitoring and consumer information processes, in relation with products made from the meat of indigenous cattle breeds. Individual animal-level identification of meat parts and products progressing through the whole chain requires the introduction and use of more efficient methods than traditional industry-wide practiced identification at the group level, as individual animal-level traceability expands data structure and volume, bringing increased complexity in several aspects.

In the first phase of the project, we developed a livestock identification and tracking model using advanced measurement, sensing and data processing technologies, capable of spanning the entire product lifecycle, from "farm to fork". For indigenous Hungarian livestock species, we analysed data during the various stages of meat processing, including possible weight variations during slaughter, transport, chilling, and monitored the impact of temperature and humidity on the maturation process. In order to digitalise the weight measurement tasks, electronic equipment (industrial PC, connected digital scales, label printers, bar scanners) and IoT (sensors, data acquisition and processing) solutions for monitoring environmental parameters were purchased, installed and tested, enabling a more efficient, automated and secure organisation of the production workflow. In the choice of technologies used, we have sought to apply tools that allow the transfer of the know-how developed in an unhindered way to end-users and practitioners interested in our results. This includes the use of hardware components that have been found to be optimal in terms of value for money, or open source software development solutions and standards.

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