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The digital transformation in agriculture requires digitally available data from the environment, farms, machines and processes on a technical level so that software-supported products and services can work smoothly..
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Data-based services using artificial intelligence (AI) are intended to solve optimization problems and identify patterns, helping us to achieve more sustainable agriculture overall - through better decisions and optimally automated processes and machines. Can this work and are the risks manageable?
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Fraunhofer Institute for Experimental Software Engineering IESE
