Improvement of the YOLOv8 Model in the Optimization of the Weed Recognition Algorithm in Cotton Field
Due to the existence of cotton weeds in a complex cotton field environment with many different species, dense distribution, partial occlusion, and small target phenomena, the use of the YOLO algorithm is prone to problems such as low detection accuracy, serious misdetection, etc. In this study, we p...
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| Asıl Yazarlar: | , , , , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
MDPI AG
2024-07-01
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| Seri Bilgileri: | Plants |
| Konular: | |
| Online Erişim: | https://www.mdpi.com/2223-7747/13/13/1843 |
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