Lanzhou University of Finance and Economics. All
| Precision agriculture with YOLO-Leaf: advanced methods for detecting apple leaf diseases | |
| Li, Tong1; Zhang, Liyuan1; Lin, Jianchu2,3,4 | |
| 2024-10-15 | |
| 发表期刊 | FRONTIERS IN PLANT SCIENCE
 |
| 卷号 | 15 |
| 摘要 | The detection of apple leaf diseases plays a crucial role in ensuring crop health and yield. However, due to variations in lighting and shadow, as well as the complex relationships between perceptual fields and target scales, current detection methods face significant challenges. To address these issues, we propose a new model called YOLO-Leaf. Specifically, YOLO-Leaf utilizes Dynamic Snake Convolution (DSConv) for robust feature extraction, employs BiFormer to enhance the attention mechanism, and introduces IF-CIoU to improve bounding box regression for increased detection accuracy and generalization ability. Experimental results on the FGVC7 and FGVC8 datasets show that YOLO-Leaf significantly outperforms existing models in terms of detection accuracy, achieving mAP50 scores of 93.88% and 95.69%, respectively. This advancement not only validates the effectiveness of our approach but also highlights its practical application potential in agricultural disease detection. |
| 关键词 | apple leaf disease dynamic snake convolution BiFormer IF-CIOU YOLOv8 |
| DOI | 10.3389/fpls.2024.1452502 |
| 收录类别 | SCIE |
| ISSN | 1664-462X |
| 语种 | 英语 |
| WOS研究方向 | Plant Sciences |
| WOS类目 | Plant Sciences |
| WOS记录号 | WOS:001343828700001 |
| 出版者 | FRONTIERS MEDIA SA |
| 原始文献类型 | Article |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.lzufe.edu.cn/handle/39EH0E1M/38147 |
| 专题 | 兰州财经大学 |
| 通讯作者 | Zhang, Liyuan |
| 作者单位 | 1.Lanzhou Univ Finance & Econ, Coll Agr & Forestry Econ & Management, Lanzhou, Peoples R China; 2.Huaiyin Inst Technol, Huaian, Peoples R China; 3.Nanjing Univ Sci & Technol, Jiangsu Key Lab Image & Video Understanding Social, Nanjing, Peoples R China; 4.Nanjing Univ Sci & Technol, Minist Educ, Key Lab Intelligent Percept & Syst High Dimens Inf, Nanjing, Peoples R China |
| 第一作者单位 | 兰州财经大学 |
| 通讯作者单位 | 兰州财经大学 |
| 推荐引用方式 GB/T 7714 | Li, Tong,Zhang, Liyuan,Lin, Jianchu. Precision agriculture with YOLO-Leaf: advanced methods for detecting apple leaf diseases[J]. FRONTIERS IN PLANT SCIENCE,2024,15. |
| APA | Li, Tong,Zhang, Liyuan,&Lin, Jianchu.(2024).Precision agriculture with YOLO-Leaf: advanced methods for detecting apple leaf diseases.FRONTIERS IN PLANT SCIENCE,15. |
| MLA | Li, Tong,et al."Precision agriculture with YOLO-Leaf: advanced methods for detecting apple leaf diseases".FRONTIERS IN PLANT SCIENCE 15(2024). |
| 条目包含的文件 | 条目无相关文件。 | |||||
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