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Image-assisted phenotyping,Computer vision,Robot-assisted imaging,Machine learning,Maize,Water deficit
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doi:10.1186/s13007-017-0246-7
BioMed Central
Plant Methods, doi:10.1186/s13007-017-0246-7
Image-assisted phenotyping
Computer vision
Robot-assisted imaging
Machine learning
Maize
Water deficit
A robot-assisted imaging pipeline for tracking the growths of maize ear and silks in a high-throughput phenotyping platform
Nicolas Brichet
Christian Fournier
Olivier Turc
Olivier Strauss
Simon Artzet
Christophe Pradal
Claude Welcker
François Tardieu
Llorenç Cabrera-Bosquet
10.1186/s13007-017-0246-7
2010-04-23
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