Projects

LALWeco – Long-term Autonomous Laser Weed Control

The LALWeco project aims to combine an autonomous robot with a modular laser unit for weed control. This robot autonomously navigates through the crop …

ExPrIS – Knowledge-Level Expectations as Priors for Object Interpretation from Sensor Data

"What will I see when I turn this corner?" Depending on what is around that corner, this question is easy for us to answer. We are likely to see a …

agrifoodTEF – Test and Experiment Facilities for the Agri-Food Domain

To foster sustainable and efficient agri-food production, agrifoodTEF gives companies and start-ups the validation tools they need to bridge the gap …

R4Agri – Reasoning auf landwirtschaftlichen Daten - Integration von Metriken und qualitativen Perspektiven

"Entferne schädliches Unkraut auf dem Feld, aber setze keine chemischen Mittel in der Nähe eines Gewässers ein!" Bei der Durchführung …

AW4.0 – Autowerkstatt4.0

In the project Autowerkstatt 4.0 (AW 4.0), a consortium consisting of companies and research institutes is developing a platform for the trustworthy …

PlantMap – PlantMap

The PlantMap project goal is a high-resolution spatiotemporal 3D map representation of individual plants – the PlantMap. Such a map will be filled …

CognitiveWeeding – selective management of harmful and non-harmful weeds using artificial intelligence

The spontaneous vegetation that accompanies arable farming (generally referred to as (un)harmful weeds) can lead to major yield losses if not …

ChargePal – Robot-assisted charging and power management in private and public parking spaces

The ChargePal project aims at the research and practical testing of self-sufficient mobile DC charging robots with integrated high-performance …

CIAM – Cooperative Development of a Comprehensive Integrated Autonomous Underwater Monitoring Solution

In the CIAM project, autonomous underwater vehicles (AUVs) are being developed that are capable of autonomous inspection missions with a travel …

resKIL – Resource-efficient AI for Embedded Systems in Agricultural Machines

The application of AI methods appears to be useful in agriculture because the environment is highly dynamic, not fully known and not fully …