Our research projects

Photo: Manuel Gutjahr


Agrarsysteme der Zukunft: DAKIS - Digitales Wissens- und Informationssystem für die Landwirtschaft, Teilprojekt H
Coordinating Institute
Leibniz-Zentrum für Agrarlandschaftsforschung e.V. (ZALF)
Sonoko Dorothea Bellingrath-Kimura
Forschungszentrum Jülich GmbH
Fraunhofer-Institut für System- und Innovationsforschung ISI
Hochschule für Nachhaltige Entwicklung Eberswalde
Hochschule Osnabrück
IHP GmbH - Innovations for High Performance Microelectronics/ Leibniz-Institut für innovative Mikroelektronik
Europa-Universität Viadrina
Forschungszentrum Karlsruhe GmbH der Helmholtz-Gemeinschaft

Allocated to research program
The vision underlying DAKIS (Digital Agricultural Knowledge and Information System) is that spatially and functionally diversified production systems are able to harmonize contradictory land use goals. The project realizes this vision through automated, small-scale production systems that are tailored to the needs of society in a landscape-specific way. This is made possible by the use of new, innovative information and management methods. DAKIS uses the advancing digitization to integrate ecosystem services (ÖSL) and biodiversity into modern planning processes, production and marketing. The project enables a new resource-efficient work organization, provides the farmer with information and decision-making tools, and encourages farmers cooperation through a digital platform and networked robots. The analysis of site-specific characteristics changes the agricultural landscape, e.g. through island or patch cultivation. New concentric usage type gradients are being drawn around the urban core. The DAKIS makes the ecological services of the agricultural systems more visible and leads to a self-evident reward for eco system services and biodiversity. The ATB develops technical principles for recording and implementing multi-criteria optimization in agricultural production processes. Based on the requirements, exemplary sample technology is selected, tested on the research areas and implemented in the test regions. Sensors are used to record management-relevant biodiversity parameters in order to develop the control for autonomous, operational measures for soil cultivation and grazing robotics.

Bundesministerium für Bildung und Forschung (BMBF)
Funding agency
Projektträger Jülich (PtJ)
Grant agreement number
Funding framework
Agrarsysteme für die Zukunft


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)