Artificial Intelligence for Environment and Sustainability

The Competence Center AI for Environment and Sustainability (DFKI4planet) bundles the expert knowledge of different DFKI research departments applying Artificial Intelligence focusing on the preservation of our planet.

Our society is facing the challenge of finding fast and efficient solutions for major problems such as climate change, marine pollution, rising sea levels, devastating storms, food shortages, increasing world population, urbanization without consideration for the needs of people and nature and global disease outbreaks. With this background, it is essential that the "tool” AI is used as effectively as possible in the future to protect the environment, climate and sustainability.

DFKI's application-oriented research can be used in many ways to protect the environment and climate. AI-based methods are applied for

  • Environmental pollution detection
  • Development of sustainable methods in agriculture
  • Intelligent waste separation and disposal
  • More sustainable use of aquatic environments
  • Future-oriented development of green mobility
  • Reduction of energy consumption
  • Circular Economy optimization
  • Environmentally conscious production
  • Energy optimization
  • CO2 reduction
  • Increasing resources efficiency
  • Resources conservation

The DFKI4planet competence center is an ideal hub for knowledge transfer and the development of new fields of application. It is the central point of contact for interested scientists, project partners, environmental organizations, companies, politicians and authorities.

Gastbeitrag

Rettet Künstliche Intelligenz den Planeten?

Prof. Dr. Oliver Zielinski in IM+io, Fachmagazin des August-Wilhelm Scheer Instituts. Heft 3, S. 14.

Erschienen im September 2020.

Contact

Office:
Monika Topp
Tel.: +49 441 99833 4711

Corporate Communication:
Swantje Schmidt
Tel. +49 421 17845 4121

German Research Center for Artificial Intelligence (DFKI)
DFKI-Labor Niedersachsen
Marine Perception
Marie-Curie-Str. 1
26129 Oldenburg
Germany

News

What condition are the world's oceans in? To find out, numerous autonomous underwater buoys are drifting through the oceans and collecting data. In…

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DFKI's Machine Learning (ML) Computing Center has been extended by another high-performance computing system for AI algorithms. With the seventh…

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Numerous sensor systems in the North Sea record wind, humidity, hours of sunshine and many other environmental parameters. In the future, Artificial…

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Projekte

EnvMon-Short

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…

NEW APPROACH TO UNDERWATER TECHNOLOGIES FOR INNOVATIVE, LOW-COST OCEAN OBSERVATION

The deep ocean, below 200 m water depth, and the open ocean environment above it, are largest habitats but least observed ones of our planet. These highly dynamic systems provide critical climate…

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…

AI-based system analysis of power distribution networks in normal and short-circuit operation - AI-based System Analysis and Assistance System

The goals of the GridAnalysis research project are the development of new models and methods for quasi-stationary and time-series-based simulation of power distribution grids in combination with…

Foundations of Trustworthy AI - Integrating Reasoning, Learning and Optimization

The TAILOR project was selected by the European Commission in the ICT-48-2020 call for proposals "Towards a vibrant European network of AI excellence centres" to form a strong research network of…

Explaining AI with Narratives

In the XAINES project, the aim is not only to ensure explainability, but also to provide explanations (narratives). The central question is whether AI can explain in one sentence why it acted the way…

Maritime Traffic Emissions: A monitoring network

Maritime ship traffic is globally increasing with 90% of the world trade being carried over the ocean. The emissions of the maritime traffic are a severe threat to the marine environment and coastal…

PlaMoWa-Europa-MtecPla. Missions- und Pfadplanungsverfahren.

Development of monitoring techniques for the automated evaluation and visualization of marine plastics garbage on the seefloor

Partners

  • Planblue GmbH
  • Kurt Synowzik Werkzeug u. Maschinenbau GmbH & Co.…
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…

Maschinelles Lernen auf Multisensordaten der flugzeuggestützten Fernerkundung zur Bekämpfung von Plastikmüll in Meeren und Flüssen

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz