A Deep Learning Model for Chili Pepper Fruit Shape Classification Using DenseNet-121 and CBAM
Traditional manual grading of fresh chili peppers suffers from inconsistent quality control and low efficiency. To meet the demand for accurate fruit shape recognition during the post-harvest stage, this study proposes an intelligent recognition method based on an improved DenseNet-121 network. This...
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| Autors principals: | , , , , , , , , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
MDPI AG
2026-07-01
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| Col·lecció: | Plants |
| Matèries: | |
| Accés en línia: | https://www.mdpi.com/2223-7747/15/13/2103 |
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