Jakie było wyzwanie/problem?

In Hungary, before the implementation of this project, there was not known 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, które skupiają się głównie na rzeźniach wielkopowierzchniowych i niemobilnych, 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.

Jak rozwiązałeś problem??

Using state-of-the-art weight measurement, sensory, printing and data processing technologies, we developed an individual animal-level identification, tracking, and consumer information model that spans the entire product chain, from “pasture to table” (Farm to Fork).

Co jest innowacyjne w Twoim praktycznym przypadku?

We examined a knowledge domain that has not been discovered yet among the indigenous cattle species in Hungary, but are critical to the processing activities, such as water loss during slaughter, cooling, transportation, and processing of different types of meat, as well as to establish relevant weight norms for meat parts, and to monitor the effect of humidity in the ripening process. As a result of the project, consumers receive detailed information about the origin of their purchased meat products, including breed, sex, pedigree, birth, data of breeder, owner, transportation, breeding (life history), as well as the main parameters of the given product, according to the specifications defined in the product data sheet, using 2D barcode (QR code) on the product label.

The provided information service is optimized for mobile devices, na przykład. a smart phones, to let consumers read the information instantly and easily. The results are published in an online knowledge base, as well as in the media and electronic interfaces according to EIP-Agri requirements, for each animal species and type of meat products. The project published technical leaflets to help other farmers involved in the primary animal production and meat processing to adopt the gathered knowledge.

Jakie są czynniki sukcesu w rozwiązaniu problemu?

Development of a weight measurement and sensor system at the (A) Slaughtering point, (B) Boning, cutting up, (C) Processing facility, taking the meat over, (d) Meat processing.

Determination of sensor application points and functions, primarily considering the capabilities of the ripening chambers.

Creating data recording and collection processes, definition of raw material and product structure, uniquely identified products, related processes, and datasets. The manufacturing process follows the product’s requirement for individual-level identification. The use of a unique digital ID – such as two-dimensional barcode (QR code) – internally in the manufacturing and inventory processes.

Interoperability testing and implementation in e-government, invoicing, accounting, tagging systems, transfer of slaughter logbook data from ENAR (state livestock registry) to e-government, livestock record keeping API compatible with eLogbook system, sending to invoicing software was done daily, and for QR code tagging, the farm register system provides processable XML output to external web systems, including interfaces for consumer information.

Consumers can access the processor’s online product information system through a two- dimensional barcode on the product label, which provides detailed information on the details of the animal that is the raw material of the product, such as breed, strain, origin, birth, breeder, owner, husbandry, transport, change of breeder (life history), slaughter, cutting, itp., as well as the main parameters of the product -, the public values, characteristics and specifications defined in the product sheet. All this is done in a way that is optimised for mobile devices, so that, na przykład, with the use of a smart phone, all the information can be displayed immediately on the screen at the touch of a button.

After the development phases were completed and closed, a patent application was filed with the National Intellectual Property Office.

Zdobyta wiedza

In our situation, advisors have been working on a daily basis with the farm for more than a decade, in many areas, not only regarding the direct scope of this practice. This continuity develops a deeper and more precise understanding of the problems, needs and their potential solutions, based on the daily communication with the farmer and the employees as well.

Trust is also built due to the issues successfully solved in the past, that opens up a more informal and efficient knowledge exchange.

Advisors not necessarily being the final experts of some topics to develop a project, can still self learn some new domains (like basic ICT skill, information management practices, basic programming knowledge, itp), which can make them act like an interpreter between the farmer and IT developer and vice versa.

Improved consumer information methods, like the one describe in this case, adding QR code label with product information at the individual livestock and inventory item level, is very well resonating with the needs of consumers buying higher valued, more prestigious products made from the meat of indigenous Hungarian cattle species.

Using open source technology is possible even in the food processing industry sector, connecting devices via standard data communication protocols and application programming interfaces, which gives much higher flexibility to develop the workflow and the management software to suit the particular needs of special – probably rather the smaller scale, niche products – operations.

Jaką rolę odgrywa doradca lub usługa doradcza w praktycznym przypadku?

In this EIP-Agri type of project, the two participating farm advisors had the role of the innovation brokers, who act as intermediary to connect innovation actors (rolnicy, consultants, badacze, NGOs, itp.) around the idea that could become an innovation.

Advisors played a role in the 1) Initiation phase, 2) Planning & development phase, 3) Realisation phase, i 4) Dissemination phase.

Important points during the Initiation phase are: Identify the needs: Translate from “what we want to achieve” towards “what we can achieve”. Build human & institutional networks: Select suitable partners, involve farmers. Clarify the possible roles and activities of the partners involved in the project. Search for funding.

During the Planning & development phase: Bring together the different expectations of all partners. Match them with the requirements of the funding source. Generate trust between partners.

In the Realisation phase: Follow the decisions taken at the planning and development phase, but stay flexible. Document and evaluate feedback from the field.

In the Dissemination phase: Address relevant stakeholders by appropriate channels and content. Ensure that this step can also build sustainable collaborations in the future.

Czy Twoje podejście można przenieść i/lub dostosować do innych wyzwań i regionów związanych z innowacjami??

tak

Szacowana zbywalność w skali od 1 Twierdzenie, że na ostateczną jakość mięsa negatywnie wpływa stres zwierząt związany z transportem 5

(gdzie 1 jest łatwe i 5 bardzo trudne)

3

Za podzielenie się doświadczeniami dotyczącymi dobrych praktyk, prosimy o kontakt

Laszlo Gabor Papocsi

lpapocsi@gmail.com

Link do informacji zewnętrznych

https://szomordezso.eu/Nyomonkovetesi-rendszer-kialakitasa