Detection and characterization of spike architecture based on deep learning and X-ray computed tomography in barley

Detection and characterization of spike architecture based on deep learning and X-ray computed tomography in barley

Abstract Background Spike is the grain-bearing organ in cereal crops, which is a key proxy indicator determining the grain yield and quality. Machine learning methods for image analysis of spike-related phenotypic traits not only hold the promise for high-throughput estimating grain production and q...

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Bibliographic Details
Main Authors: Yimin Ling, Qinlong Zhao, Wenxin Liu, Kexu Wei, Runfei Bao, Weining Song, Xiaojun Nie
Format: Article
Language:English
Published: BMC 2023-10-01
Series:Plant Methods
Subjects:
Barley
3D morphological processing
Computational modeling
Spike architecture
Online Access:https://doi.org/10.1186/s13007-023-01096-w

Internet

https://doi.org/10.1186/s13007-023-01096-w

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