Accurately Identifying Different Ripening Stages of Strawberry Fruits in Complex Agricultural Scenarios
This study presents a novel RCEA-YOLOv8 detection architecture, integrating effective attention mechanisms to accurately detect strawberry fruits at different ripening stages. First, data augmentation techniques are employed to expand the diversity of complex strawberry growth scenarios, providing r...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-12-01
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| Series: | International Journal of Fruit Science |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/15538362.2025.2523807 |
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