Projekte
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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 challenges of agriculture are manifold - in addition to the constant, intense competitive pressure, farmers are confronted with increasingly severe environmental problems as a consequence of climate change and are at…
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The network for DeepFarmBots AI-based agricultural robotics for efficient and sustainable agriculture aims to create new products, processes and services for the use of agricultural robots in different application areas …
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In the MIKIM - DeepFarmBots project, an agricultural MIMO radar system with AI-based signal processing is being developed that achieves improved angular and distance resolution and is combined with AI-based object recogn…
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The electronic olfactory sensor AgriNose, in combination with remote sensing-optical methods, is intended to support monitoring in plant cultivation in the future in such a way that earlier detection of several plant dis…
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The project concept Development of a concept for the introduction of 5G in the Dahme-Spreewald district in the Golßen-Mittenwalde-Schönefeld model region and preparation for self-financed or private-sector implementation…
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D4AgEcol will show the potentials of digitalisation as enabler for agroecological farming systems in Europe based on available knowledge and actors and stakeholders co-innovation capacity . Partners from seven countries …
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Climate Farm Demo is a unique pan-European network of Pilot Demo Farmers (PDFs) covering 28 countries and all pedo-climatic areas. Its overall aim it to accelerate the adoption of Climate Smart Farming (CSF) practices an…
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The aim of the third phase of the I4S project is to develop a sensor-based system that will, in particular, provide recommendations for site-specific fertilization management and thus help to improve soil functions and r…