An international team led by researchers from Empa and EPFL has explored how in future aerial robots could process construction materials precisely in the air – an approach with great potential for difficult-to-access locations or work at great heights. 

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Scientists developed a machine-learning tool that can teach itself, with minimal external guidance, to differentiate between aerial images of flowering and nonflowering grasses — an advance that will greatly increase the pace of agricultural field research, they say. 

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