News and press

Photo: ATB

Prof Dr-Ing. Cornelia Weltzien receives the prestigious Max-Eyth-Gedenkmünze

Award of the Max-Eyth-Gedenkmünze during the ceremony at the international LAND.TECHNIK conference: Dipl.-Ing. Klemens Surmann, Prof. Dr.-Ing. Cornelia Weltzien, Dipl.-Ing. Christian Adler and Dr. Markus Demmel (from left, photo: ATB).

Cornelia Weltzien proudly holds the Max Eyth Gedenkmünze of the VDI. (Photo: ATB)

As part of this year's VDI Land.Technik conference in Osnabrück, the Max-Eyth-Gedenkmünze of the Association of German Engineers (VDI) was awarded to ATB scientist Prof. Dr Cornelia Weltzien on 6 November 2024. The renowned engineer is being honoured for her outstanding achievements and services to the development and promotion of the digitalisation of agriculture and her tireless commitment to promoting young scientists.

The Max-Eyth-Gedenkmünze has been awarded since 1950 for outstanding individual achievements in the field of agricultural engineering development. This year, in addition to Prof. Dr Cornelia Weltzien (ATB), Dipl.-Ing. Christian Adler and Dipl.-Ing. Klemens Surmann also received the VDI award.

With her research in agricultural engineering, Cornelia Weltzien is helping to make agriculture more sustainable and efficient. The nationally and internationally recognised and respected expert focuses on the transfer between science and practice with the aim of improving the agriculture of the future and making farmers' work easier.  In addition, she is strongly committed to the academic education of the next generation of agricultural engineers. With tireless dedication and exemplary commitment, she is committed to transdisciplinary education for the further development of agriculture, both as a professor at the Technical University of Berlin and in the Joint Lab Artificial Intelligence & Data Science.

Cornelia Weltzien is Head of the Department of Agromechatronics at the Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB) and holds the professorship "Agromechatronics - Sensor-based Process Control in Agriculture" at the Technical University of Berlin. Together with her team at ATB, she is exploring the potential of digitalised agriculture. Among other things, she is working on technical solutions to enable diversification in crop farming:

  • She automatises field robots that intelligently weed.

  • She developes electric attachments for e-tractors that mow in a biodiversity-, climate- and plant-friendly manner.

  • She brings 5G and AI to fields to enable precise and efficient data-based farming.


Dr Markus Demmel, Chairman of the Max-Eyth-Gesellschaft Agrartechnik (VDI-MEG), emphasised in his laudatory speech: “Even if Cornelia Weltzien would never make a fuss about it, she is a great female role model in disciplines that are still heavily dominated by men.”

Prof Barbara Sturm, Scientific Director at ATB, congratulates: “We are delighted for our esteemed colleague Cornelia Weltzien. This award once again shows the great appreciation of her work, which we fully share. Congratulations!”

Contact:

Dr. Ulrike Glaubitz
Press and Public Relations Officer
E-mail: presse@spam.atb-potsdam.de
Phone: +49 331 5699-820

Cookies

We use cookies. Some are required to offer you the best possible content and functions while others help us to anonymously analyze access to our website. (Matomo) Privacy policy

Required required

Necessary cookies are absolutely essential for the proper functioning of the website. This category only includes cookies that ensure basic functionalities and security features of the website. These cookies do not store any personal information.

Cookie Duration Description
PHPSESSID Session Stores your current session with reference to PHP applications, ensuring that all features of the site can be displayed properly. The cookie is deleted when the browser is closed.
bakery 24 hours Stores your cookie preferences.
fe_typo_user Session Is used to identify a session ID when logging into the TYPO3 frontend.
__Secure-typo3nonce_xxx Session Security-related. For internal use by TYPO3.
Analytics

With cookies in this category, we learn from visitors' behavior on our website and can make relevant information even more accessible.

Cookie Duration Description
_pk_id.xxx 13 months Matomo - User ID (for anonymous statistical analysis of visitor traffic; determines which user is being tracked)
_pk_ses.xxx 30 minutes Matomo - Session ID (for anonymous statistical analysis of visitor traffic; determines which session is being tracked)