The goal of the PigNPlay project is to provide farmers in training, practice and other target groups with an instrument to raise their awareness and understanding of the topics of “nitrogen emissions
The fusion of data with high spatial and temporal resolution and their interpretation are essential innovation drivers for the realisation of more sustainable processes in plant cultivation. Here, eco
Artificial Intelligence has become a major innovative force and it is one of the pillars of the fourth industrial revolution. This trend has been acknowledged also by the European Commission that has
In the overall project Sustainable Agriculture with KI (NaLamKI), a cloud-based SaaS (Software as a Service) platform is being created with open interfaces for providers from the upstream and downstre
Marie Skłodowska-Curie Innovative Training Network for Reliable AI for Marine Robotics Partners IT University of Copenhagen, Denmark Aarhus University, Denmark University of Bremen, Germany RWTH Aache
The goal is to develop a risk assessment module for a smart home platform with a focus on "smart ageing". A collection of sensors is installed in the volunteers' flats and their base health status ass
Forschungs- und Technologieplattform Steigerung der Energieeffizienz in der Produktion durch Digitalisierung und ML Partners BIBA-Bremer Institut für Produktion und Logistik GmbH (BIBA-Bremer Institut
The exploration of both Earth's and extraterrestrial oceans require robotic systems capable to operate autonomously and for longer periods of time under water. To this end, the TRIPLE-Modo project wil
Technical evaluation of a robotic measurement system for the spatial-temporal high-resolution in-situ classification of SONAR data using neural networks Current lake monitoring is limited to punctual
The PRIME project stands for Predictive Rendering in Manufacture and Engineering and aims to establish an innovative training network where PhD students develop skills and protocols required for the i