Sustainable agriculture with artificial intelligence

The NaLamKI research project is developing AI services that analyse data from conventional and autonomous agricultural machinery, satellites and drones, combine them in a software service platform and make the results available for use in agriculture via open interfaces.

Contents and goals

NaLamKI is the German abbreviation for Sustainable Agriculture with Artificial Intelligence. In the project, special AI methods are being developed and adapted to issues from agricultural engineering and science. In addition, the prerequisites are being created to make the collected data records and AI models accessible to developers and end users of smart farming solutions in the form of cloud applications with open interfaces.

The project promotes dialogue between engineers and researchers in order to implement the findings from basic research in technologies that make smart farming possible and sustainable.

Image data of wheat plants are regularly collected on a trial plot and in a pot trial using a multispectral camera. The goal is to determine whether this method can be used to detect the early stages of fungal pathogens before this is possible for the human eye.

Task of the DLG

The DLG acts as a demonstrator for the detection of fungal diseases in wheat: Resource-optimised application of fungicidal crop protection products and early detection of fungal diseases in wheat crops are the focus of the work.