Individualized Livestock Production

Photo: ATB

Project

Title
Internationaler Workshop zum Einsatz smarter Sensoren auf kleinen Betrieben in China und Deutschland - zur Steigerung der Nachhaltigkeit und Produktivität der bäuerlichen Landwirtschaft
Acronym
Deutsch-Chinesischer Workshop
Start
21.09.2019
End
03.10.2019
Coordinating Institute
Leibniz-Institut für Agrartechnik und Bioökonomie e.V. (ATB)

Summary
Report from the conference: Between June 30 and July 5, the Sino-German Agricultural Centre (DCZ) Science & Technology (S&T) platform in cooperation with the Chinese Academy of Agricultural Sciences (CAAS) and the Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB) in Potsdam organised a conference and excursion in Germany for a delegation of 13 researchers from CAAS institutes and other Chinese agricultural research institutions. The event was designed to explore opportunities and challenges of digitisation for small-scale and organic farming. It brought together an interdisciplinary group of Chinese and German researchers specialised in fields such as remote sensing, precision farming, soil science, plant protection, organic farming and agricultural economics. On July 1 and 2, the conference, which was organised in cooperation with Prof. Dr. Cornelia Weltzien Member of the Board of Directors at ATB and Head of Dept. Engineering for Crop Production) and her team from ATB, explored recent developments in digital farming and data acquisition, approaches for water and soil management and precision plant protection, as well as recent advances in organic and small-scale farming. The experts from China had the opportunity to exchange ideas and thoughts on new developments with researchers from ATB, the Leibniz Centre for Agricultural Landscape Research (ZALF), the Eberswalde University for Sustainable Development (HNEE) and the Wageningen University & Research (WUR). In the concluding session Prof. Dr. Weltzien identified common interests in image analysis for disease detection. She also remarked that there is a great potential for applying digital tools and robots for organic farming systems. Prof. Wu Wenbin from the Key Laboratory for Smart Agriculture of CAAS emphasized that the Chinese guests learnt very much, especially in the field of data acquisition, and expressed the desire to continue the dialogue in 2020. In the afternoon of the second day, researchers of ATB presented their projects on-site at ATB’s field lab for digital agriculture in Potsdam-Marquardt. Here, the participants saw innovative tools, for instance highly modern soil measurement devices, autonomous robotic machines that will be working in orchard applications, measurement devices for crop monitoring and an introduction to drone applications.

Funding
Bundesministerium für Ernährung und Landwirtschaft (BMEL)
Funding agency
Bundesanstalt für Landwirtschaft und Ernährung - Projektträger
Grant agreement number
03/2018-CHN
Funding framework
Mobilitätsunterstützung bei deutsch-chinesischen Forschungsprojekten für die Jahre 2019-2020 im Rahmen des Programmes Bilaterale Wissenschaftlerkooperation - Wissenschaftleraustausch" des BMEL

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)