A comparative analysis of single- and dual-backbone deep learning architectures with explainable AI for cherry leaf disease classification
Abstract Accurate differentiation of visually similar cherry leaf diseases remains a major challenge in precision agriculture due to overlapping symptom patterns and environmental variability. This study presents a comprehensive deep learning–based framework for multi-class cherry leaf disease class...
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| Principais autores: | , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Portfolio
2026-04-01
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| coleção: | Scientific Reports |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1038/s41598-026-50104-1 |
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