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

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-throughput,...

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Detalles Bibliográficos
Autores principales: Tu, Keling, Wen, Shaozhe, Cheng, Ying, Xu, Yanan, Pan, Tong, Hou, Haonan, Gu, Riliang, Wang, Jianhua, Wang, Fengge, Sun, Qun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9188178/
https://www.ncbi.nlm.nih.gov/pubmed/35690826
http://dx.doi.org/10.1186/s13007-022-00918-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9188178/
https://www.ncbi.nlm.nih.gov/pubmed/35690826
http://dx.doi.org/10.1186/s13007-022-00918-7

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