| Case Study Acronym: | PGC |
| Long Title of the Case Study: | Premium Grain Chain |
| Case Study Main Contact: | Marko Turpeinen, |
| Countries involved and main place of the Case Study: | Multiple locations in Finland |
| Part of the Food System addressed: | Farming, food processing, food retail and exports |
Our case study contributes to creation of new sustainable business thinking for the agrifood sector based on an open ecosystem concept that emphasizes holistic member value creation rather than individual interests and desires. The case study can be used as an example of data space put in practice to concretely help the agrifood industry.
Multiple user groups will benefit from the use case. Farmers can leverage their data as a community (our data) and seek market power and product market value through data-driven collaboration. Food processing industry can verify market claims based on data and increase the market value of their products. Agricultural machinery and tech solution providers become can operate in and exploit the data space environments to their business benefits.
We apply the Sitra Fair Data Economy Rulebook model for the Premium Grain Chain use case to create an agrifood-specific rulebook that addresses the business, legal, ethical, and technical aspects of data sharing in the value chain.
The expected outcome is that a premium quality label can be based on the systematic collection and use of the following types of shared data:
Aspects of grain variety (weight, yield, protein%, moisture% etc.) data made available; Data needed to verify premium product quality parameters (organic, nutrient richness, health effects, gluten free) measured; Collecting batch-level data from the farm to verify whether the quality criteria are met, for example for the needs of spirits industry.
Combining traceability capabilities with detailed quality and sustainability indicator calculation results; QR-code based tracking back to the individual farm & batch; Using the “Grain Passport” consignment note in transferring the data when a batch of crop is sold and delivered
Farm cooperative situational awareness of supply and demand; Virtual warehouse combining individual farm data on current and expected grain availability; Joint order process management for grain export.
Contact: Marko Turpeinen
email:
Contact: Liisa Pesonen
email:
Farming, food processing, food retail and exports actors, with case study focus on grain-based food and beverage products where there is a clear business advantage to be able to show that the desired quality criteria have been met. Examples include grain-based spirits, processed oat-based food and drinks.
The use case has been shortlisted by one of the top three key use cases of the AgriFood Data Space Finland (AFDSF) ecosystem. It has strong support of the ecosystem actors and will be a showcase for recently established data space intermediary company DataSpace Europe Oy that is focussing on agrifood.
The use case is also aiming to link with other use cases in Data4Food2030, and especially with use case #3 (AgData-Interoperability – TEUDS).
