Research project
Contact
Project manager
Prof. Dr. Inga SchleipProfessorship for Sustainable Grassland Utilisation Systems and Grassland Ecology
Professorship in Agroecology and Sustainable Cropping Systems
General contact
Almut Haub Amanda BirkmannMitarbeiterin am Fachgebiet Agrarökologie und nachhaltige Anbausysteme
Digital Agricultural Knowledge and Information System
01/2025 - 12/2028
Project volume:404.066 EURO
Competence field:Sustainable ecosystem management, Sustainable, site-adapted production systems, Process engineering and technologies in the agricultural and food industry
Cooperation:Composite partnership
Funding partner:State funding
The Digital Agricultural Knowledge and Information System (DAKIS 2) project aims to transform conventional, yield-oriented farming systems into balanced agricultural systems that are both productive and sustainable. Based on data from models and robot-, drone- and satellite-based sensors, the project will develop an automated decision support system (DSS) that integrates ecosystem services and biodiversity as management objectives into agricultural land use at the landscape level.
In the Brandenburg test region, two use cases for permanent grassland and temporary grassland are being developed and tested for the DSS:
- Site-specific, ecosystem-oriented management of permanent grassland to optimise ecosystem services and biodiversity.
- Differentiated management of parts of individual fields using site-specific forage legume–grass mixtures to support ecosystem services.
During the first DAKIS phase, site characteristics were determined on a grassland field managed by a practice partner through the combined use of sensor technology, remote sensing and conventional field methods.
During the first DAKIS funding phase, winter spelt was sown into an existing lucerne stand, taking soil texture, soil moisture and slope into account. In the DAKIS 2 project, this approach will be further developed for site-specific legume–grass mixtures.
Funding partner
Partnerships
Network partnerships