Searching for projects
Here you can search for our ongoing and completed research projects. Please use both German and English search terms.
Below you will also find an overview of all ATB research projects since 2005 (sorted by topicality).
Searching for projects
Projects
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The diversification of crop production systems in combination with a reduction in the use of agrochemicals and an increase in landscape complexity has the potential to promote biodiversity at the field and landscape scal…
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The AGRO-WELL project is addressing the challenging and hazardous conditions faced by workers in the agricultural sector, which is marked by high accident rates and health issues due to physical labor and repetitive task…
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The overall objective of F4F2 is to create the conditions for an all-encompassing resilient society that ensures a sustainable supply of sufficient and healthy food through innovative solutions in the agrifood sector. Th…
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The quantiFARM project aims to develop cost-effective and mobile sensor systems to reduce environmentally harmful emissions in agriculture. By recording plant vitality and soil parameters, fertilisers and pesticides are …
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The aim of the SALIX_AFS joint project is to establish various model agroforestry systems in which shrub willows are planted to produce willow rods. The willow rods are to be processed into an endless willow thread and f…
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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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Fruit cracking is a peel disorder, limiting fruit quality and yield. The phenomenon occurs mainly in the pre-harvest stage and affects many types of fruit. External conditions like climatic and environmental conditions, …
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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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The aim of the joint project TreeDigitalTwins is to develop innovative AI methods for object recognition and automatic derivation of object parameters in discrete 4D point clouds and to test these methods using the examp…