Unlocking AI as a research tool for plant microscopy

University of Queensland researchers created a dataset named PlantMicro to test how vision-language models interpret plant microscopy. Current models averaged roughly 30 percent accuracy when identifying plant hosts and pathogens. The dataset exposes specific image interpretation errors that researchers must address before automated systems can support botanical studies.

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