Johanna Roussel
Papers
2
Total Citations
128
H-Index
2
About
Johanna Roussel’s research lies at the intersection of robotics, computer vision, and plant phenomics, where she has pioneered automated systems for high-throughput analysis of individual seeds. Her most influential work, the *pheno*Seeder robot system (2016, 88 citations), tackles a fundamental challenge in plant science: capturing the enormous diversity of seed traits, particularly seed mass, which is critical for seedling development but traditionally approximated through coarse two-dimensional scanning. By enabling precise, robotized handling and phenotyping of individual seeds, Roussel’s system delivers accurate three-dimensional data, transforming how researchers quantify seed morphology. Complementing this, her 2016 study on 3D surface reconstruction via volume carving (40 citations) extends the method to seeds as small as 200 μm, achieving high positional repeatability through robotized rotation in front of a camera. These contributions have provided plant biologists and breeders with robust tools for linking seed traits to plant performance, advancing both fundamental research and agricultural applications. Roussel’s work exemplifies how engineering innovation can unlock new dimensions in biological measurement, making her a key figure in the growing field of automated plant phenotyping.
Research Focus
Key Achievements
Top Papers
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