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About

Hanno Scharr is a leading researcher in plant phenotyping and computer vision, whose work bridges robotics and high-throughput imaging to revolutionize how we study plant development. His key research areas include automated plant phenotyping, 3D reconstruction, and robotic systems for agriculture. Scharr’s most impactful contribution is the development of GROWSCREEN-Rhizo, a novel phenotyping robot that simultaneously measures root and shoot growth in soil-filled rhizotrons—a breakthrough cited over 378 times for enabling non-invasive, dynamic analysis of root architecture. He also pioneered the phenoSeeder system, which automates the handling and phenotyping of individual seeds, achieving 88 citations for its ability to capture 3D seed traits beyond traditional 2D methods. His work on 3D surface reconstruction of small seeds via volume carving has set new standards for accuracy in seed morphology, while his recent deep learning-based 3D reconstruction for wheat seeds provides a benchmark dataset and challenge for the community. Scharr’s cognitive architecture for automatic gardening further demonstrates his innovative approach to integrating AI with plant science. With a career focused on scalable, precise phenotyping tools, his research is essential for advancing crop improvement and sustainable agriculture.