Digital twin of agricultural landscapes for preserving agrodiversity in Saxony-Anhalt (DigiTwin4AgroDiv)

The loss of biodiversity is currently one of the greatest challenges facing society. Biodiversity is particularly important in agricultural landscapes, as it ensures essential ecosystem services such as the provision of habitats, biological pest control, and pollination. Against this backdrop, the project aims to develop a digital twin for the preservation of biodiversity in agricultural landscapes.

The dynamic model will map the complexity and interactions in Saxony-Anhalt’s agricultural landscapes, enabling new, in-depth, cross-dataset analyses. It will be based on a comprehensive database from current and past research projects. The digital twin will integrate modern data science and AI methods to simulate scenarios, make predictions about agricultural functionality, and plan nature conservation measures in an informed manner.

A robust IT platform will be set up for implementation, enabling the analysis of large, heterogeneous data sets. The methods and models to be developed will then be transferred not only to other regions but also to related fields of application, such as urban planning, and used sustainably.

By combining biodiversity research, data integration, and the use of modern AI methods, the project is making a decisive contribution to the development of a resilient and sustainable

Project priorities

Digital twin, agrodiversity data, artificial intelligence

Project region

Sachsen-Anhalt