Digital Agricultural Knowledge and Information System (DAKIS)
Digitization and field robotics-centred project
DescriptionOverview of the initiative and its approach.
Digital Agricultural Knowledge and Information System (DAKIS) is a digital agricultural research and innovation project designed to integrate ecosystem services, biodiversity, and resource efficiency into agricultural decision making. The project develops and tests digital platforms that combine real-time data from sensors, drones, satellites and other sources with models and tools for planning and managing sustainable agrisystems. DAKIS fosters cooperation between farmers advisors' researchers and policymakers for sustainable agricultural transformation.
TechnologyTechnology used by the initiative.
The DAKIS technology combines remote sensing drones, sensors, robotics, cloud-based analytics, and GIS modelling with artificial intelligence to analyse multi source data. The system supports decision support tools for simulation forecasting and scenario analysis tailored to local site conditions.
TargetUsers, groups, or communities targeted by the initiative.
DAKIS targets farmers, advisors, researchers, and rural development stakeholders who require integrated data-driven tools for sustainable landscape and crop management.
Business modelHow the initiative delivers and sustains its value.
The project is financed through public research funding under the German Federal Ministry of Education and Research and provides research outputs and prototype tools as public goods.
ImpactThe observed or intended effects of the initiative.
DAKIS aims to improve sustainability planning by enabling data-driven decisions that balance production, economic viability, biodiversity, and ecosystem services. The project intends to strengthen innovation capacity, disseminate information on digitalization, and support long-term sustainable agricultural systems that will be displayed in the form of a prototype DAKIS system.
PartnersOrganizations and stakeholders involved in the initiative.
Bavarian State Institute for Agriculture; LfL Eberswalde University for Sustainable Development; HNEE Forschungszentrum Jülich Fraunhofer Institute ISI; German Research Center for Artificial Intelligence; Osnabrück University of Applied Sciences University of Bonn
Four BettersThe FAO Four Betters supported by the initiative.
Better environment
Better production
Better nutrition
Better life
