郑州大学学报（理学版）2025，Vol.57Issue(5)：24-30,7.DOI:10.13705/j.issn.1671-6841.2023256
基于改进YOLOv8的无人机视角下青皮核桃目标检测
Green Walnut Detection Based on Improved YOLOv8 from the Perspective of Drone
摘要
Abstract
Current methods of walnut yield measurement mainly relied on traditional statistical models,and the accuracy could hardly be guaranteed.Therefore,taking green walnuts as an example,an image dataset of walnuts from the perspective of drone aerial photography was established.The coordinate atten-tion(CA)was innovatively applied to the YOLOv8 model for the first time.The improved YOLOv8-CA model algorithm was used for object detection of green walnuts.The experimental results showed that the newly improved model(YOLOv8-CA),improved the mAP value by 0.004 and 0.051,and the Recall value by 0.019 and 0.089 compared with the original YOLOv8 and YOLOv5,respectively.关键词
目标识别/无人机视角/机器视觉/果实测产/核桃检测Key words
objection detection/drone perspective/computer vision/fruit yield measurement/walnut detection分类
信息技术与安全科学引用本文复制引用
钟天泽,云利军,杨璇玺,陈载清,吴明杰..基于改进YOLOv8的无人机视角下青皮核桃目标检测[J].郑州大学学报（理学版）,2025,57(5):24-30,7.基金项目
云南省教育厅科学研究基金项目(2023Y0533) （2023Y0533）
云南省基础研究计划重点项目(202401AS070034) （202401AS070034）
