Computer vision and machine learning enabled soybean root phenotyping pipeline

Computer vision and machine learning enabled soybean root phenotyping pipeline

Abstract 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...

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Bibliographic Details
Main Authors: Kevin G. Falk, Talukder Z. Jubery, Seyed V. Mirnezami, Kyle A. Parmley, Soumik Sarkar, Arti Singh, Baskar Ganapathysubramanian, Asheesh K. Singh
Format: Article
Language:English
Published: BMC 2020-01-01
Series:Plant Methods
Subjects:
RSA
Root
Phenotyping
Phenomics
Computer vision
Machine learning
Online Access:https://doi.org/10.1186/s13007-019-0550-5

Internet

https://doi.org/10.1186/s13007-019-0550-5

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