Lydia Kienbaum

Doctoral student

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I am passionate about advancing automatic plant phenotyping applications using machine learning in horticultural species, particularly ornamentals and fruits. My focus lies in employing few-shot learning to adapt greenhouse drone imagery models across various species. Additionally, I am determined to drive progress in genebank phenomics through precise phenotyping and effective variety differentiation, which are essential for conserving valuable genetic resources.

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