A German consortium aims to create a cross-vendor and multi-service data exchange platform, called SDSD.
As part of the research project SDSD - Smart Data, Smart Services, a mixed consortium of research institutions, agricultural technology manufacturers and software providers is working on the development of a comprehensive system landscape for the digitization of agricultural processes.
The goal is to create a way to bring together agricultural relevant data from different sources and to make it accessible for processing by various services.
SDSD platform connects to agrirouter
The SDSD platform connects to the agrirouter of DKE-Data GmbH & Co.KG. Based on this cross-machine and cross-manufacturer data exchange platform, the SDSD platform is used to implement storage concepts that provide farming data in an understandable form for a variety of services.
According to the project participants, “all manufacturers involved in the agricultural production process have recognized that production improvements, resource minimization and traceability of crop products can be achieved through Smart Data and Smart Services.”
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The goal of the SDSD project is to create a way to bring together agricultural relevant data from different sources and to make it accessible for processing by various services.- Photo: Jan Willem Schouten
Data protection, data security and data sovereignty (self-determination) are the most important requirements of farmers and contractors. These aspects are therefore given high priority in the course of the project.
How does it work?
Once the farmer has registered his machine, the farmer can exchange data via the agrirouter with the SDSD platform. The concrete data transmission takes place in the form of messages / message formats (ISOBUS / ISOXML data, EFDI and other data formats). With storage orders, the farmer can specify what data should be stored in the SDSD plat- form (in a controlled manner) for how long.
Accordingly, important operational information is then available for retrieval by the farmer. Wikinormia supports the formulation and discussion of shared terms. As a result, SDSD has computer-readable vocabularies that allow automatic interpretation of the original data.
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Once the farmer has registered his machine, the farmer can exchange data via the agrirouter with the SDSD platform. The concrete data transmission takes place in the form of messages / message formats (ISOBUS / ISOXML data, EFDI and other data formats). - Photo: SDSD
Original documents stored in database
The original documents are used to create computer-readable structured entries in a database (Smart Data). The services of many providers can query these structured data and thus receive information in the appropriate format, if commissioned by the farmer and equipped with appropriate access rights.
“Thus, smart services can be realized, which can provide the farmer with information and recommendations for the optimization of his processes by evaluating even complex data stocks, such as optimization of the sowing strength or targeted plant protection,” says the consortium.
According to the companies involved, “farmers, contractors, consultants and even the agricultural engineering industry see a clear potential for optimization through new and extensive linking and networking of information to smart data.”
The Smart Data – Smart Services project forms the core of an open system consisting of several software components that enable cross-vendor and multi-service data exchange and data evaluation on the SDSD platform. Openness to all interested parties should ensure rapid and diverse development, strict neutrality and broad application within an increasing digitizing agriculture.
SDSD is designed for an introduction in Germany. Expendability for Western Europe, North America and other regions is included.
The Smart Data, Smart Services project is initiated by the German Federal Ministry of Food and Agriculture. Partners are Krone, Agco, DKE-Data, Deutz-Fahr, Müller Elektronik, Grimme, CC-Isobus, DFK (German research institute for artificial intelligence), IT Forschung & Entwicklung and Hochschule Osnabrück.