Improved YOLOv10n model for enhanced cotton recognition in complex environments
Accurate and efficient identification of cotton boll states is crucial for mechanical and intelligent cotton harvesting. Currently, target detection models struggle with multi - category cotton recognition in complex farmland environments. To address this, this study improves the YOLOv10n model and...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-12-01
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| Series: | Smart Agricultural Technology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S277237552500440X |
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