An Improved Real-Time Lightweight YOLOv8 Algorithm for Bloom Maturity Recognition in <i>Torreya grandis</i>
To address the challenge of rapidly and accurately detecting male cones of Torreya at various stages of maturity in natural environments, this study presents a target detection algorithm, GFM-YOLOv8s, which is based on an improved YOLOv8s model. Using the YOLOv8s network model as the foundation, thi...
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| Asıl Yazarlar: | , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
MDPI AG
2026-02-01
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| Seri Bilgileri: | Applied Sciences |
| Konular: | |
| Online Erişim: | https://www.mdpi.com/2076-3417/16/5/2177 |
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