Agriculture
Graphchain is a perfect solution for food tracebility and monitoring of metadata that helps to maintain security and quality of food production. One of the potential use cases scenario of food traceability was prepared as a theoretical background for the strategy ”from fork to farm” for the OntoBeef project.
The following scheme presents an ontology-driven information system (IS) for OntoBeef project 1
In 2020 we have prepared an application for a National Centre for Research and Development “AgroFoodChain – building of an Agri-Food 4.0 class IT system supporting quality supervision in supply chains in the food market based on the latest solutions in the field of databases and Blockchain technology. “
Moreover, MakoLab has formed a consortium with Polish Beef Association for the purpose of the project for the National Centre for Research and Development “Realization of industrial research and development activities aiming at the creation of a software framework enabling the construction and deployment of Blockchain based systems and applications for modern, high-performance graph databases. “
The objective of this project was a research and development aiming at the creation of qualitatively new categories of software solutions in the DLT (Distributed Level Technology) and Blockchain domains with modern graph databases of the LPG (Labelled Property Graph) type.
This enabled the use of both “traditional” Blockchains equipped, among other facilities, with Smart Contracts and the latest solutions in the domain, for example, systems using DAG (Directed Acyclic Graphs) or other modern consensus mechanisms to achieve the high efficiency of the transactional processes.
Furthermore, we took an active part with the Polish Beef Association in initial market consultations for a pilot project “Passporting of Polish food for the potato, beef and pork market” organized by the National Agricultural Support Center together with GovTech Polska in the Chancellery of the Prime Minister.
Together with the Polish Beef Association we have prepared a presentation “Implementation of modern innovative technologies, including BlockChain, RFID, DNA in order to strengthen the marketing of recognized quality systems”
This use case was presented on 10.06.2020 on initial market consultations carried out as part of a pilot project “Passporting Polish Food”.
One of the potential use cases for the implementation of Graphchain is tracing food production and monitoring supply chain processes in Blockchain. The following Benchmarks present already implemented use cases of supply chain management projects based on Blockchains.
Benchmarks:
Walmart and IBM created decentralized food supply ecosystem based on Hyperledger Fabric. Initially two projects had been created:
The first project was about tracing mangos sold in Walmart’s US stores.
The second project was to trace pork sold in China stores. The system allowed to upload certificates of authenticity to the blockchain and in case of tracing mangos the time needed to performance was reduced from 7 days to 2.2 seconds. 2
Another interesting case study is the Origintrail – supply chain in the dairy and meat sectors. The Slovenian company Trace Labs is the core technology builder of the open-source protocol the Origintrail for various Blockchains such as Polkadot, Ethereum, Polygon, xDai, and substrate.3
Origintrail created the food traceability app for the Perutnina Ptuj the largest pultry producer in South Eastern Europe. Users can verify every chicken history to the farm by scanning the QR code. They can check where the chicken was bred and if the conditions of breeding were animal friendly. The data presented in the app is secured in the Blockchain.4
One more interesting case study is related to tuna sourcing data for the Princess Group Brand. The solution enables users to track data of each tuna can by scanning QR code in their app. This blockchain based solution was created by the UK company Provenance.2
1. “Evaluation of beef production and consumption ontology and presentation of its actual and potential applications” Rafał Trójczak, Robert Trypuz, Przemysław Gradzki, Jerzy Wierzbicki, Alicja Wozniak, Faculty of Philosophy, The John Paul II Catholic University of Lublin, Poland. Polish Beef Association, Warsaw, Poland. FedCSIS: Advances in Semantic Information Retrieval 2013 Cracow.
2. Source: Case Study: ”How Walmart brought unprecedented transparency to the food supply chain with Hyperledger Fabric” https://www.hyperledger.org/wp-content/uploads/2019/02/Hyperledger_CaseStudy_Walmart_Printable_V4.pdf accessed on 04.11.2021
3. Sources: https://origintrail.io/ and https://tracelabs.io/about-us accessed on 9.11.2021.
4. Source: Origintrail Case Study https://origintrail.io/case-studies/food-traceability accessed on 9.11.2021.
5. Source: Provenance Case Study https://www.provenance.org/case-studies/princes-tuna accessed on 9.11.2021.