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.

Guest Article (German only)

Digitalisierung als Enabler – Mit KI zu mehr Nachhaltigkeit

Oliver Zielinski, Christiane Plociennik und Sebastian Vollmer in „Nachhaltige Industrie“, Issue 1-2022, Fachzeitschrift der Springer Medien Wiesbaden GmbH

Published April 2022.

Guest Article (German only)

Rettet Künstliche Intelligenz den Planeten?

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

Published 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

DFKI-Forschungsbereich „Smarte Daten & Wissensdienste“ (SDS) an Projekt für Hochwasservorsorgemaßnahmen beteiligt

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

Projekte

Building the Digital Thread for Circular Economy Product, Resource & Service Management

The aim of the CircThread project in response to the SC5-31 H2020 call for projects, is to enhance decision making using information across the product life cycle to improve product lifespan, repair,…

Cooperative Development of a Comprehensive Integrated Autonomous Underwater Monitoring Solution

In the CIAM project, autonomous underwater vehicles (AUVs) are being developed that are capable of autonomous inspection missions with a travel distance of 500km. This eliminates the need for supply…

Change Event Based Sensor Sampling

The project aims to accelerate Natural Science research process through part automatization of execution of experimentation by AI powered Change Event based Sensor Sampling (ChESS), e.g. for systems…

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…

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,…

Deep-Learning for Multimodal Sensor Fusion

The main objective of DeeperSense is to significantly improve the capabilities for environment perception of service robots to improve their performance and reliability, achieve new functionality, and…

Safe and Trusted Human Centric ARtificial Intelligence in Future Manufacturing Lines

STAR is a joint effort of AI and digital manufacturing experts towards enabling the deployment of standard-based secure, safe and reliable human-centric AI systems in real-life manufacturing…

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…

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz