Precision farming in crop and livestock production

Photo: ATB

Project

Title
Agrarsysteme der Zukunft: DAKIS - Digitales Wissens- und Informationssystem für die Landwirtschaft, Teilprojekt H
Acronym
DAKIS
Start
01.04.2019
End
31.03.2024
Coordinating Institute
Leibniz-Zentrum für Agrarlandschaftsforschung e.V. (ZALF)
Coordinator
Sonoko Dorothea Bellingrath-Kimura
Partner
Forschungszentrum Jülich GmbH
Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V.
Hochschule für Nachhaltige Entwicklung Eberswalde
Universität Osnabrück
IHP GmbH - Innovations for High Performance Microelectronics/ Leibniz-Institut für innovative Mikroelektronik
Europa-Universität Viadrina
Forschungszentrum Karlsruhe GmbH der Helmholtz-Gemeinschaft

Summary
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.

Funding
Bundesministerium für Bildung und Forschung (BMBF)
Funding agency
Projektträger Jülich (PtJ)
Grant agreement number
03180729H
Funding framework
Agrarsysteme für die Zukunft