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  1. Unlocking the power of AI for phenotyping fruit morphology in Arabidopsis by Atkins, Kieran, Garzón Martínez, Gina A., Lloyd, Andrew, Doonan, John H., Chuan, Lu

    Published 2025
    “…In this study, we assess the efficacy of deep learning for measuring variation in fruit morphology in Arabidopsis using ima ges fr om a m ultipar ent adv anced gener ation inter cr oss (MAGIC) mapping famil y. We tr ained an instance se gmentation model and developed a pipeline to phenotype Arabidopsis fruit morphology, based on the model outputs. …”
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