A model for genuineness detection in genetically and phenotypically similar maize variety seeds based on hyperspectral imaging and machine learning

Abstract Background Variety genuineness and purity are essential indices of maize seed quality that affect yield. However, detection methods for variety genuineness are time-consuming, expensive, require extensive training, or destroy the seeds in the process. Here, we present an accurate, high-thro...

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Bibliographic Details
Published in:Plant Methods
Main Authors: Keling Tu, Shaozhe Wen, Ying Cheng, Yanan Xu, Tong Pan, Haonan Hou, Riliang Gu, Jianhua Wang, Fengge Wang, Qun Sun
Format: Article
Language:English
Published: BMC 2022-06-01
Subjects:
Maize seed
High-throughput
Phenotyping
Non-destructive testing
Varietal purity
Online Access:https://doi.org/10.1186/s13007-022-00918-7

Internet

https://doi.org/10.1186/s13007-022-00918-7

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