A lightweight method for maize seed defects identification based on Convolutional Block Attention Module
Maize is widely cultivated and planted all over the world, which is one of the main food resources. Accurately identifying the defect of maize seeds is of great significance in both food safety and agricultural production. In recent years, methods based on deep learning have performed well in image...
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2023-09-01
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| coleção: | Frontiers in Plant Science |
| Assuntos: | |
| Acesso em linha: | https://www.frontiersin.org/articles/10.3389/fpls.2023.1153226/full |
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