Artificial Intelligence project „RegisTer“ receives funding from the Federal Ministry of Food and Agriculture (BMEL)

Image: ©Philipp Lottes/ Pheno-Inspect GmbH

It’s a great day for the PhenoRob research community! Our new partner project “RegisTer” has secured funding from the BMEL for three years, and we are excited about the promising new findings of their work. The interdisciplinary project RegisTer aims to develop automated routines for the characterization and evaluation of sugar beet varieties based on optical/reflective properties of the plants. Sugar beet is an important part of the economic development in rural areas, and the plants have to endure a high tolerance to stress and disease while having a high yield. Thus, modern and better varieties have to be bred. For each newly bred sugar beet variety, an analysis of the sugar beet must be carried out concerning its distinctness from other varieties and its performance and value characteristics over several years and is finally proven by the Bundessortenamt (Federal plant variety office) for approval. The required but time-intensive manual phenotyping work for these tasks could be replaced through the work of “RegisTer,” which aims to implement plant phenotyping pipelines based on Machine Learning techniques using 3D sensors and high-resolution RGB and multispectral images coming from ultralight drones. This brings the potential opportunity to increase the precision and lower the manual work for breeders and the approval process of the Bundessortenamt.

Partner Project “Anticipating Human Behavior” has been extended for second phase

Great news for one of our partner projects! The German Research Foundation extends the research unit 2535 “Anticipating Human Behavior” for three more years. Since 2017, Prof. Dr. Jürgen Gall and his team of researchers have been developing methods on how to analyse complex interactions between humans and robots as well as examine new technologies for service robots. Their goal is to create a framework that is able to anticipate human actions and the resulting future situations. Here, you can find out more about the project.

Prof. Dr. Jürgen Gall on the right

New Partner Project: SEnsing Biodiversity Across Scales (SEBAS)

In the past decades, most grassland ecosystems in Central Europe were transformed by higher fertilization rates in combination with increased frequencies of mowing or grazing. While this land-use intensification improved the delivery of the Ecosystem Service (ES) of forage, it has in many cases decreased biodiversity and the delivery of other ESs. In this context, there is an urgent need for a more mechanistic understanding of land-use effects on the biodiversity – ecosystem functioning (BEF) and the biodiversity-ecosystem service (BES) relationship. Due to inherent spatial mismatches between ecological processes and management units in coupled social-ecological systems, though, this is a challenging task. The new project SEBAS aims at improving this mechanistic understanding by integrating site-based ecological research on land-use intensity and six ‘essential biodiversity variables’ (EBVs) with satellite Remote Sensing of these proxies.

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