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...

Descripción completa

Detalles Bibliográficos
Autores principales: Falk, Kevin G., Jubery, Talukder Z., Mirnezami, Seyed V., Parmley, Kyle A., Sarkar, Soumik, Singh, Arti, Ganapathysubramanian, Baskar, Singh, Asheesh K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6977263/
https://www.ncbi.nlm.nih.gov/pubmed/31993072
http://dx.doi.org/10.1186/s13007-019-0550-5

Ejemplares similares

Ejemplares similares