The KIDA KON conference series is an essential part of the cross-institutional cooperation of the KIDA collaborative that supports the Federal Ministry of Agriculture, Food and Regional Identity (BMLEH).
The conference will take place on September 29 and 30, 2026, at the German Federal Institute for Risk Assessment (BfR) in Berlin-Marienfelde.
The free to register, on-site conference is a lunch-to-lunch event starting at 12:00 pm on September 29 with the registration. The programme begins at 1:00 pm. On 30 September, the conference ends at around 12:30 pm, and additional activities such as hands-on-sessions are planned for the afternoon, ending around 4:00 pm. The programme includes keynotes, talks and a poster session. The option to register will be provided soon.
The conference offers an ideal opportunity to explore diverse applications of artificial intelligence in research and practice, as well as the current research landscape, and to connect with colleagues from agriculture, food, and environmental research.
We warmly invite you to present your research and work results in the form of a talk or poster at KIDA-KON 2026.
The opportunity to submit abstracts is available here: https://akademie.bfr.berlin/352985.
Abstracts of no more than 300 words can be submitted by June 14, 2026. The topics for abstracts are as follows:
AI in food and agriculture
AI impacts on environmental and food sciences
Digital innovations in agriculture
Visual farming
Computer vision
Data quality and interoperability
IT-infrastructure for high-performance computing
Legal and regulatory issues
Other
Talks will be allocated 15 minutes, followed by a 5-minute discussion. The conference language is English.
After review by the scientific committee, the organisers reserve the right to change the presentation format or reject submissions. Notifications regarding acceptance and format will be sent by July 10, 2026. The programme will be published afterwards.
We look forward to many exciting submissions and an inspiring conference!
Sachgebiete:
Biologie, Ernährung / Gesundheit / Pflege, Informationstechnik, Recht, Umwelt / Ökologie
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