Papers
1
Total Citations
109
H-Index
1
About
Christophe Pradal is a leading computational scientist whose work sits at the intersection of plant phenotyping, image analysis, and functional-structural plant modeling. His research focuses on developing open-source tools and pipelines to quantify complex plant traits, particularly in the context of high-throughput phenotyping and drought tolerance. A standout contribution is his development of a robot-assisted imaging pipeline for tracking the growth of maize ears and silks, a critical trait for grain yield under water deficit. This work, which has garnered over 100 citations, enabled the first dynamic, non-destructive measurement of silk emergence—a notoriously difficult phenotype to capture. Beyond this, Pradal is the principal architect of OpenAlea, a widely-used open-source platform for plant modeling that integrates architecture, function, and environmental interactions. His work has been instrumental in bridging computer science and plant biology, providing the community with robust, reproducible tools. With a career marked by high-impact, methodologically rigorous papers, Pradal continues to shape how researchers decode the genetic and environmental controls of plant development.
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Top Papers
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