Computer vision and machine learning enabled soybean root phenotyping pipeline

BACKGROUND: Root system architecture (RSA) traits are of interest for breeding selection; however, measurement of these traits is difficult, resource intensive, and results in large variability. The advent of computer vision and machine learning (ML) enabled trait extraction and measurement has rene...

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Bibliografische gegevens
Gepubliceerd in:Plant Methods
Hoofdauteurs: Falk, Kevin G., Jubery, Talukder Z., Mirnezami, Seyed V., Parmley, Kyle A., Sarkar, Soumik, Singh, Arti, Ganapathysubramanian, Baskar, Singh, Asheesh K.
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: BioMed Central 2020
Onderwerpen:
Methodology
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6977263/
https://ncbi.nlm.nih.gov/pubmed/31993072
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13007-019-0550-5
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