Assessing deep learning model robustness for banana ripeness classification under varying illumination conditions
The classification of banana ripeness is critical for the external assessment of fruit quality in automated inspection systems. This study investigates the robustness of deep learning models under varying illumination conditions, utilizing a dataset of real banana images captured in multiple lightin...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Elsevier
2025-12-01
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| coleção: | Smart Agricultural Technology |
| Assuntos: | |
| Acesso em linha: | http://www.sciencedirect.com/science/article/pii/S2772375525005647 |
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