As part of Agritechnica, taking place from 9 to 15 November 2025 in Hanover, Germany, the DLG (German Agricultural Society) will present the DLG-Agrifuture Concept Winners awards for pioneering agricultural machinery work and future visions.
With this award, DLG underscores its ambition to recognize ground-breaking ideas for the development of future international agricultural machinery at its leading international trade fair.
The award focuses on technical possibilities for the coming years and emphasises their realistic likelihood of implementation.
Amazone’s SoilDetect System has been shortlisted for the DLG-Agrifuture Concept Award.
As part of the BMLEH’s Soil4Climate joint project, Amazone is working with partners FieldExpert GmbH, exatrek GmbH, Osnabrück University of Applied Sciences and the JKI, plus the associated companies Westrup-Koch and Brunotte, on a system for recording soil conductivity during soil tillage. The project was initiated by the Lukas and Dr Joachim Brunotte practice, funded by the BMLEH and successfully trialled at two locations in northern Germany.
To date, either geoelectric measurements or satellite data have been used to create yield potential maps. Although cultivator sensors are increasingly available in practice, this process data have not been used to demarcate sub-areas, and tractor data such as diesel consumption, engine speed, engine load, and speed are not included in these calculations.
The “SoilDetect” system from Amazone enables the fusion of all of the above-mentioned data for the first time. Using a multi-sensor system on the tillage implement, small-scale soil data such as soil conductivity and resistivity, as well as slope and working depth, are recorded and linked to tractor process data. All measurements are georeferenced and stored with elevation data, and the resulting terrain models are transmitted via telemetry to an evaluation system.
This system incorporates satellite, soil assessment, and climate data, as well as farm-specificSeite 3 von 8 information, to create yield potential and field soil maps fully automatically with AI support. Field- specific notes from the farm manager or the results of soil analyses at reference points further optimize the accuracy of the results.
The implementation of a geoelectric measurement system in a standard cultivator enables, for the first time, straightforward measurements during soil cultivation and thus the creation of yield potential maps for site-specific crop production. By automating data transfer and merging it with other information sources, a basis for decision-making can be created without the need for additional specialized knowledge, and resources can be deployed in a targeted and needs- based manner.
Amazone SoilDetect uses a multi-sensor system to capture soil properties during tillage. An AI
engine combines this data with satellite maps and provides the farmer with yield potential maps.
This significantly simplifies resource-efficient, site-specific crop production.
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