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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...
Autores principales: | Fan, Yaoyao, An, Ting, Wang, Qingyan, Yang, Guang, Huang, Wenqian, Wang, Zheli, Zhao, Chunjiang, Tian, Xi |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
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 |
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