摘要
通过无人机跟踪飞行、图像传输、图像处理和SVM算法等技术来实现农作物病虫害的视频监控和识别,探索了基于SSD的目标检测和跟踪方法,以及基于图像加强、特诊提取和SVM模型的作物虫害识别方法。实验结果表明:系统具有较高的识别率,能够将其应用于农业生产中,为农作物病虫害快速识别和防治提供支撑。
It used UAV tracking flight,image transmission,image processing and SVM algorithm to realize the video monitoring and recognition of crop pests,and the methods of target detection and tracking based on SSD.And it also explored the methods of crop pests recognition based on image enhancement,special diagnosis extraction and SVM model.The experimental results show that the system has a high recognition rate,Which can be applied to agricultural production to provide support for rapid identification and control of crop diseases and pests.
作者
秦彩杰
李勇
Qin Caijie;Li Yong(School of Information Engineering,Sanming University,Sanming 365004,China)
出处
《农机化研究》
北大核心
2021年第10期42-45,50,共5页
Journal of Agricultural Mechanization Research
基金
福建省自然科学基金项目(2017J01779)
福建省中青年教师教育科研项目(JT180513)
三明学院科学研究发展基金项目(B201824)。
