A maize seed variety identification method based on improving deep residual convolutional network
Seed quality and safety are related to national food security, and seed variety purity is an essential indicator in seed quality detection. This study established a maize seed dataset comprising 5877 images of six different types and proposed a maize seed recognition model based on an improved ResNe...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2024-05-01
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| Colecção: | Frontiers in Plant Science |
| Assuntos: | |
| Acesso em linha: | https://www.frontiersin.org/articles/10.3389/fpls.2024.1382715/full |
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