Our research projects

One of the most important challenges the modern world is facing is food insecurity, while little progress has been achieved at introducing non-destructive and reliable food quality assesment methods at both pre- and post…

Recent developments render the biobased sector a key player in European Economy providing a great impetus towards Circular Business Models of resource efficiency. Developments in biobased nanomaterials are coupled with b…

The Leibniz Forschungsverbund (LFV) “INFECTIONS in an Urbanizing World - Humans, Animals, Environments” (InfUrb) produces interdisciplinary research across several sections of the Leibniz Association, conceived of and de…

The main goal of IRRIWELL is to test the implementation of a novel approach to estimate water requirements of fruit trees based on stomatal conductance with the aid of plant sensors and mechanistic physiological models. …

The aim of the MONIQUA project is to establish a digital monitoring system for the early detection and localisation of quarantine diseases in commercial fruit growing. On the basis of image recordings and machine learnin…

Currently, weed control in conventional arable farming systems is predominantly carried out by adapted herbicide strategies. Against the background of negative effects of plant protection products on the environment and …

The joint project lnnoRind (here: funding phase 1) aims to establish an innovation network for cattle farming that uses the expertise of the project participants to develop innovative approaches for sustainable cattle fa…

In the joint research project KendyrTEX, German and Central Asian partners are cooperating to develop a crop with an industrial character from the wild plant Kendyr using artisanal processing technology. Apocynum venetum…

The objective of the "weed-AI-seek" project is to develop an intelligent real-time monitoring and mapping system for the detection of weed distribution in cereal stands. For this purpose, high-resolution aerial image dat…

Using AI technologies and unlocking their potential opens up new opportunities to sustainably intensify milk production and use resources efficiently and competitively. AI tools and data-based applications enable a bette…