Digital agriculture, plant phenotyping, AI, remote sensing
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Combines UAV sensing, computer vision and multi-trait time-series analytics for high-throughput plant phenotyping, quantifying seed vigor, nitrogen use efficiency and growth stages in cereals. Builds open, scalable tools to support selection and breeding.
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