The data space for the farm & food industry
360°efood forms an independent data space for the interaction of all process participants in the farm&food industry. It is based on Fraunhofer’s International Data Spaces, a development for digital sovereignty in business ecosystems. As a member of the International Data Spaces Association, agmadata is driving the Farm & Food IDS architecture and realizing a wide variety of use cases from animal transport to fertilizer management with 360°efood.
Diverse platform offers are therefore available, the IDS Farm & Food shows solutions and concepts for a wide range of issues.
Through the networked cooperation of topic-related working groups, we arrive at more advanced solutions.
Unearthed treasures: Discovering the potential of your data
Added value through dataspaces in the food production process
International Data Spaces — Sovereignty over Data
Data becomes an economic asset — profit from the returns!
The development
The International Data Spaces at a glance
The International Data Spaces pursue the goal of digital sovereignty in business ecosystems. Participants in the International Data Spaces should be able to exchange data interoperably with business partners while always retaining the right of self-determination over these data assets.
We achieve this goal with a new architecture. Applicability and usefulness are supported with application examples.
Our activities promote the spread that is already possible.
The farm & food sector will therefore also benefit from this.
Data Economics
The digitization of all areas of the economy and society is leading to a new role for data. Data is no longer a waste product of economic activity, but a strategic resource on the basis of which new types of digital services and even new business models can be created.
Data as an economic good
When data takes on the role of a strategic resource for companies, it must be treated as an economic asset. The discussion about data as an economic good today is strongly influenced by the use in processes and beyond process chains.
Data Governance
Data governance describes the control process for measuring, evaluating, using, improving, maintaining, and protecting data used throughout the enterprise.
The aim is to clearly define the possible uses and responsibilities
and tasks required to ensure the comprehensive quality of data and metadata.
From development directly into the companies
With adapted application examples for the farm & food industry, we underline the practicality.