2020欧洲杯比分网官网-买球手机投注平台 2020欧洲杯买球

科研成果

通知公告

  • 关于组织我校学生参加2020年全国大学生英语竞赛的通知[03-13]
  • 关于做好2019版本科人才培养方案论证工作的通知[03-11]
  • 关于开展2020届本科预毕业生毕业论文(设计)实施进展情况调查的通知[03-11]
  • 转发:关于开展通识类选修课申报工作的通知[03-11]
  • 转发:关于开展2019年度教育教学改革研究项目开题工作的通知[03-11]
  • 2020欧洲杯学院关于明确2020年国家基金预评审时间的通知[03-10]

我的位置: 2020欧洲杯比分网官网» 科研成果

Aerial Visual Perception in Smart Farming: Field Study of Wheat Yellow Rust Monitoring

作者:   来源:   发布日期:2020-03-13  浏览次数:

论文信息:Jinya Su, Dewei Yi, Baofeng Su, Zhiwei Mi, Cunjia Liu*, Xiaoping Hu*, Xiangming Xu, Lei Guo, Wenhua Chen. Aerial Visual Perception in Smart Farming: Field Study of Wheat Yellow Rust Monitoring. IEEE Transactions on Industrial Informatics, 2020, 1-8. doi: 10.1109/TII.2020.2979237

中科院大小类1区:计算机-跨学科应用,TOP期刊,IF=7.377

论文摘要:Abstract: Agriculture is facing severe challenges from crop stresses, threatening its sustainable development and food security. This work exploits aerial visual perception for yellow rust disease monitoring, which seamlessly integrates state-of-the-art techniques and algorithms including UAV sensing, multispectral imaging, vegetation segmentation and deep learning U-Net. A field experiment is designed by infecting winter wheat with yellow rust inoculum, on top of which multispectral aerial images are captured by DJI Matrice 100 equipped with RedEdge camera. After image calibration and stitching, multispectral orthomosaic is labelled for system evaluation by inspecting high-resolution RGB images taken by Parrot Anafi Drone. The merits of the developed framework drawing spectral-spatial information concurrently are demonstrated by showing improved performance over purely spectral based classifier by the classical random forest algorithm. Moreover, various network input band combinations are tested including three RGB bands and five selected spectral vegetation indices by Sequential Forward Selection strategy of Wrapper algorithm.

附件:查看原文

XML 地图 | Sitemap 地图

XML 地图 | Sitemap 地图