无人机图像识别算法在林业领域检测的应用
Application of UAV Image Recognition Algorithm in the Forestry Field
许韬1
作者信息
- 1. 福建林业职业技术学院,福建 南平 353000
- 折叠
摘要
随着我国林业资源的重要性日益凸显,病虫害对森林生态系统影响越发引起人们的关注.以大疆无人机为载体,基于YOLOv8算法,针对林业病虫害的检测展开研究.设计基于YOLOv8的林业病虫害的检测模型,通过实验验证该模型在林业病虫害的检测精度在99.2%以上.
Abstract
With the increasing importance of forestry resources in China,the impact of pests and diseases on forest ecosystems has attracted more and more attention.With DJI UAV as the carrier,based on YOLOv8 algorithm,research was carried out on the detec-tion of forest pests and diseases.The detection model of forest pests and diseases based on YOLOv8 was designed,and the detection accuracy of the model was above 99.2%through experiments.
关键词
图像识别/林业/YOLOv8Key words
image recognition/forestry/YOLOv8引用本文复制引用
出版年
2024
NETL
NSTL
万方数据