Fields of Application

Farming & Agricultural Engineering

The future food supply of an ever growing humanity is one of the key issues of our time. At the same time, climate change and globalization are placing increasing demands on a climate friendly and at the same time competitive agriculture. Intelligent technologies help to make agricultural production along the entire process chain sustainable, resource-efficient and environmentally friendly. They hold enormous potential for gentle land management and livestock husbandry that encourages animal welfare. This includes the networking and automation of agricultural machinery and knowledge sources, as well as the utilization of specific agricultural data, which provide reliable information for optimal decision support.

News

German-French project R4Agri launched

Go to Article
[Translate to English:]

Data is generally considered the gold of the 21st century. Companies use it, for example, to analyze customer behavior and provide customer…

Go to Article

In market gardens, 30 to 50 sorts of vegetables grow on half a hectare. On regular fields, there is one crop on multiple hectares. Market gardening is…

Go to Article

Projects

Plant breeding using robotics and AI for advanced data analysis and decision making in virtual spaces

The project "PORTAL - Plant breeding using robotics and AI for advanced data analysis and decision making in virtual spaces " will extend and bring together state-of-the-art technologies from the…

Use of innovative data analysis and artificial intelligence for udder health management, incorporating the latest research approaches in bulk milk analysis and image-based animal identification

The IQexpert project aims to develop an artificial intelligence-based expert system for strategic udder health management (XTE) in dairy cows. The system assists the farmer as a "digital expert" by…

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 controllable. If AI-based applications are carried out on the…

ein agrarwirtschaftliches KI-Ökosystem

The Agri-Gaia project is creating an AI ecosystem for the agricultural and food industry based on Gaia-X. For this purpose, an innovative B2B platform is being realized that provides industry-specific…

Nachhaltige Landwirtschaft mittels KI

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…

Experimental environment for industrial-grade development of semantic environment perception.

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,…

Development of a Serious Game to reduce nitrate emissions in pig farming

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…

Bringing AI Planning to the European On-Demand AI Platform

The project AIPlan4EU aims to bring the most advanced task planning and execution technology to companies, small and medium size enterprises, innovators, practitioners and more through the European AI…

5G Nachhaltige Agrarwirtschaft

The expansion of 5G opens new possibilities in the use of IoT (Internet of Things) and artificial intelligence in agriculture. The „5G Sustainable Agriculture“ project is launching a model test for…

National Research Data Infrastructure for Engineering Sciences

NFDI4Ing is one of the funded consortia of the NFDI initiative of DFG (https://www.dfg.de/en/research_funding/programmes/nfdi/index.html).

NFDI4Ing brings together the engineering communities and…

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz