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University of Bonn, Bonn, Germany, CSIRO, Pullenvale, Australia
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Real-world datasets reveal that tracking tomato ripeness can significantly enhance agricultural automation and phenotyping techniques.
Discrete-token adaptation of frozen MLLMs enables effective robot navigation with significantly less training data than conventional approaches.
