Our research projects

Photo: Manuel Gutjahr


DeepFarmBots - MIKIM / KI-basierte Objekterkennung und -klassifizierung, Schutzgehäuse und landwirtschaftliche Feldversuche
MIKIM - DeepFarmBots
Coordinating Institute
OndoSense GmbH

Project team ATB
Allocated to research program
In the MIKIM - DeepFarmBots project, an agricultural MIMO radar system with AI-based signal processing is being developed that achieves improved angular and distance resolution and is combined with AI-based object recognition that can automatically detect and classify metal rods in maize fields as well as hidden objects in grassland and cereal crops. This is intended to address a hitherto unsolved problem that arises during the harvesting of maize, grain or during mowing due to objects hidden in the crop (metal parts, large stones) - these cause severe damage to combine harvesters or mowers and thus lead to high costs and downtimes. The project results will initially flow into a standalone warning system; later, in cooperation with machine manufacturers, integration into the on-board electronics of agricultural machines and field robots can take place. Within the project, the ATB is conducting extensive trials in the field laboratory for digital agriculture at the Marquardt site and at the LVAT at the Groß-Kreutz site.

Bundesministerium für Wirtschaft und Klimaschutz
Funding agency
VDI/VDE Innovation + Technik GmbH
Grant agreement number
Funding framework


We use cookies. Some are required to offer you the best possible content and functions while others help us to anonymously analyze access to our website. (Matomo) Privacy policy

Required required

Necessary cookies are absolutely essential for the proper functioning of the website. This category only includes cookies that ensure basic functionalities and security features of the website. These cookies do not store any personal information.

Cookie Duration Description
PHPSESSID Session Stores your current session with reference to PHP applications, ensuring that all features of the site can be displayed properly. The cookie is deleted when the browser is closed.
bakery 24 hours Stores your cookie preferences.
fe_typo_user Session Is used to identify a session ID when logging into the TYPO3 frontend.
__Secure-typo3nonce_xxx Session Security-related. For internal use by TYPO3.

With cookies in this category, we learn from visitors' behavior on our website and can make relevant information even more accessible.

Cookie Duration Description
_pk_id.xxx 13 months Matomo - User ID (for anonymous statistical analysis of visitor traffic; determines which user is being tracked)
_pk_ses.xxx 30 minutes Matomo - Session ID (for anonymous statistical analysis of visitor traffic; determines which session is being tracked)