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

Seit dem 1. September 2021 hat Dr. Stefan Stiene eine Professur für intelligente Agrarsysteme an der Hochschule Osnabrück inne. Nach über 10 Jahren…

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The joint project "Stadt-Land-Fluss" (SLF) funded by the Federal Ministry of Food and Agriculture (BMEL) started on 1 June. The Eberswalde University…

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Gastbeitrag von Prof. Dr. Joachim Hertzberg, Leiter des Forschungsbereichs Planbasierte Robotersteuerung, DFKI Labor Niedersachsen

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Projects

Artificial Intelligence for Earth Observation Solution Factory

Within the AI4EO Solution Factory we combine our AI expertise with EO data to develop customized state-of-the-art solutions for business cases as diverse as agriculture, urban planning disaster…

PlantMap

The PlantMap project goal is a high-resolution spatiotemporal 3D map representation of individual plants –

the PlantMap. Such a map will be filled with plant data taken by autonomous robots navigating…

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 controlled. However, of the approximately 350 plant…

6G for Society and Sustainability

The project "Open6GHub" develops a 6G vision for sovereign citizens in a hyper-connected world from 2030. The aim of the Open6GHub is to provide contributions to a global 6G harmonization process and…

Mobile visual quality recognition through artificial intelligence for the food industry

The determination of product-relevant data is to be carried out using specific image processing. In addition to an RGB camera to evaluate the color information on the product surface, this also…

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…

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz