Non-destructive detection of single-seed viability in maize using hyperspectral imaging technology and multi-scale 3D convolutional neural network

The viability of Zea mays seed plays a critical role in determining the yield of corn. Therefore, developing a fast and non-destructive method is essential for rapid and large-scale seed viability detection and is of great significance for agriculture, breeding, and germplasm preservation. In this s...

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Detalles Bibliográficos
Autores principales: Fan, Yaoyao, An, Ting, Wang, Qingyan, Yang, Guang, Huang, Wenqian, Wang, Zheli, Zhao, Chunjiang, Tian, Xi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Plant Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10497746/
https://www.ncbi.nlm.nih.gov/pubmed/37711294
http://dx.doi.org/10.3389/fpls.2023.1248598

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10497746/
https://www.ncbi.nlm.nih.gov/pubmed/37711294
http://dx.doi.org/10.3389/fpls.2023.1248598

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