Sustainable yield increase despite increasing environmental influences thanks to digital farming.

50% of our sites are located in regions that are intensively influenced by the agricultural sector. Therefore, we are strongly connected to the industry and have been supporting companies in the agricultural and agricultural machinery sector for over 20 years.

To ensure that we can continue to provide you with the best possible advice and support in the future, we are a member of several research consortia in the agricultural sector and are therefore always up to date in order to optimize your value-added chain in the long term together with you.

„The agricultural machine of the future plans its service intervals itself and thus adapts optimally to its operating conditions.“

Dr. Jan Hendrik Schoenke
+49 (0)541 | 200 690-198

Since digitization has also found its way into agriculture, the industry is undergoing rapid change. This has created completely new challenges for the associated companies. Complex data management and networked exchange with other companies is one of the key factors for long-term competitiveness.

The Internet of Things (IoT), cloud computing, big data analysis using AI and autonomous machines are already being used more and more and will become increasingly important in the future to meet the growing demand for food and the greater fluctuations in environmental conditions.

Determine yourself who, for how long, with whom, what data, and to what extent!

1How is data exchange between machines and applications from different manufacturers realized without losing the overview?
In our experience, all manufacturers of agricultural machinery today provide suitable interfaces and the technical connection is relatively simple. The challenge is the data management. Farmers and contractors as well as companies in the field of agricultural machinery technology are responsible for the exchange, processing and storage of data and the extent to which this data is exchanged.
As implementation and certification partner of DKE-Data GmbH & Co KG, we have created a solution for this with the Agrirouter.

As a neutral entity, the data exchange platform solves a core problem in the digitization of agriculture: it enables the exchange of data between machine and agricultural software applications from different manufacturers. Even existing machines can be easily connected to an Agrirouter account via telemetry connections available on the market.

As a user, you can create your own personal Agrirouter account free of charge and put it together individually. Only you define the routes (data paths) in the Settings Center on which your data is transported.
2Are there any other important factors for staying competitive?
The second key factor is machine availability. It makes no difference whether the machine is owned by the farmer or operated by a contractor. The machines are only profitable if they are fully utilized during the relevant time of the year. Accordingly, maintenance and repairs must be kept to a minimum and carried out in a very time-efficient manner. Together with you, we develop maintenance and service models based on AI and AR to avoid breakdowns and keep service calls as lean as possible. In doing so, the machine provides the necessary data and guidelines and plans its service intervals itself, for maximum efficiency in use.
3How can you already prepare for the coming standards?
Please feel free to make an appointment with Dr. Jan Hendrik Schoenke. Together with you, he and the LMIS team will develop an optimal solution.

We certify your application.

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Use the advantages of German data management with the Agrirouter right now. We are "Trusted Agrirouter Certification Partner" for the certification of applications that want to communicate with the agrirouter. In addition, we give you, with our holistic quality management, suggestions for improvement for your application. If required, we also support you in (further) development and provide you with our second level support.

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Data management
Data management
Process optimization
Process optimization



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