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digital twins that simulate and predict nitrogen use efficiency (NUE) in forage grasses and oats. By combining high-resolution phenotyping data from the TraitFinder system, drones, and robotic sensors with
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typologies) Familiarity with augmented reality mapping (ARS), geographic information systems (GIS) and/or remote sensing Personal qualities and qualifications: Self-leadership: Ability to work independently
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