Filtered results 961 results found
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What are the ethical, legal, and social aspects (ELSA) of AI-driven technology in agri-food? Mitigation of potential...
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WUR experts are available for analysis or advice to extract information from large and multiple-source data sets as...
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Wageningen University & Research (WUR) offers access to unique, long-term datasets from Agro-Innovation Centre De Marke...
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Wageningen University & Research (WUR), together with Agro-Innovation Centre De Marke, supports companies in developing...
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At Agro-Innovation Centre De Marke, part of Wageningen University & Research, we test and validate robotic and AI...
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Agro-Innovation Centre De Marke, part of Wageningen University & Research, offers companies the opportunity to test and...
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In order to develop digital twins for agriculture, reliable long-term datasets on the agronomy and ecology of fields are...
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End-users like to see an objective validation of a technology in terms of added value (costs vs. benefits), technical...
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Accessing the end-user in a country takes a lot of time and effort. Wageningen Research - Field Crops has, through its...
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The core business of Wageningen Research - Field Crops is to design and create experimental plots (e.g. at the Farm of...
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In order to train, test, and validate AI applications, annotated datasets are needed. Wageningen Research - Field Crops...
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In order to develop AI applications or vision functionalities in robots, one of the first steps is to have high-quality...