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

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…

SmartRecycling - AI and Robotics for a sustainable circular economy

Partners

Deutsches Forschungszentrum für Künstliche Intelligenz GmbH (DFKI)

Institut für Energie und Kreislaufwirtschaft an der Hochschule Bremen GmbH

Hochschule für Angewandte Wissenschaften Hamburg…

Digital twins bringing agility and innovation to manufacturing SMEs, by empowering a network of DIHs with an integrated digital platform that enables Manufacturing as a Service (MaaS)

DIGITbrain Project is an EU innovation program to give SMEs easy access to digital twins.

A Digital Twin is the virtual representation of a product, system or process that simulates its physical…

Künstliche Intelligenz mit Erdbeobachtungs- und Multi-Source Geodaten für das Infrastruktur-, Naturschutz und Waldmonitoring

Remote sensing data from various space missions as well as geodata on the state of the environment are increasingly available free of charge in immense quantities.At the same time, social media…

Agro-Nordwest: experimental field for digital transformation in agricultural crop production

The Experimental Field Agro-Nordwest focuses on the practical digital transformation, mainly in arable farming. Considering the aspects of economy, ecology, and integrating humans, problems of a…

Zukunftslabor Agrar

Digitisation of agriculture (DdL), like digitisation in every field of application, requires technical permeability of the value creation networks concerned for the data generated; the actors in every…

Completing Training Data by Iteratively Learning Simulation

Machine learning methods based on existing training data have proven to be very effective in identifying patterns and implicit dependencies even in complex situations with many parameters and in…

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz