| 刊名 | Agricultural Biotechnology |
| 作者 | Chenyang HU, Jie XU* |
| 作者单位 | Heilongjiang Bayi Agricultural University, Daqing 163000, China |
| DOI | DOI:10.19759/j.cnki.2164-4993.2025.04.018 |
| 年份 | 2025 |
| 刊期 | 4 |
| 页码 | 84-87 |
| 关键词 | YOLOv8n; UAV; Module; Tree species identification |
| 摘要 | Forests play a crucial role in ecosystems. This study focused on five common tree species in Northeast China: pine, elm, poplar, cedar, and ash. An improved YOLOv8n-based network structure was constructed, and a UAV image dataset was developed for analysis. The results showed that the improved YOLOv8 algorithm achieved a 4.9% increase in accuracy compared with the original version, and the average precision increased from 88.0% (original YOLOv8n) to 92.1%. |
