Multi-scale attention-enhanced deep learning approach for detecting seven trunk pests and diseases in Shanghai’s urban plane trees
Urban street trees, particularly plane trees in Shanghai, are susceptible to pests and diseases like holes, decay, termite, and longicorn. Traditional manual inspections are labor-intensive and error-prone. This study introduces an enhanced YOLOv8-based detection framework to address multi-scale var...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-08-01
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| Series: | International Journal of Digital Earth |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/17538947.2025.2537321 |
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