Projekte
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Rural areas and agriculture are facing major economic, social and environmental challenges regarding climate change, biodiversity loss and water supply. As a consequence, there is a need for new or improved innovative bu…
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In the field of computer vision, Vision Foundation Models (VFM) have set new standards in visual tasks for understanding visual data, e.g. for image and object recognition, segmentation and classification, e.g. CLIP, SAM…
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The rapid loss of biodiversity and ongoing climate change are also the result of intensive agriculture. At the same time, they threaten agriculture and food security. The Leibniz Lab Systemic Sustainability brings togeth…
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The Leibniz Lab Pandemic Preparedness addresses the most pressing questions on how to deal with future pandemics. It combines expertise from different disciplines with practical knowledge to develop evidence-based strate…
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Within the framework of the Joint Lab, the University of Osnabrück and the ATB jointly train doctoral students at the interface of agricultural science and artificial intelligence. A total of 40 scientists from both inst…
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The aim of the Explaining 4.0 project is to develop methods that make a significant contribution to a holistic -global- understanding of AI models. Efficiency (through a priori knowledge), comprehensibility (through sema…
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FAIRagro is bringing together the agrosystems research community and developing a customised, digital infrastructure.
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Project within the framework of the mobility funding programme of the Sino-German Center for Research Promotion with researchers from Sun Yat-sen University and the ATB or the University of Potsdam on the topic of Reliab…
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At the Leibniz Innovation Farm for Sustainable Bioeconomy, innovative concepts and technologies for a sustainable, circular bioeconomy will be developed and tested in future by combining agriculture with crop cultivation…