文献知网节
摘要:Efficient and accurate identification of pests will effectively help solve agricultural pest problems,promote the intelligence,professional and greening of crop pest control.Traditional pest identification and control methods are inefficient,and the use of artificial intelligence technologies such as deep learning and computer vision can significantly reduce human costs and largely improve the efficiency and accuracy of the pest identification process.A review is conducted on deep learning-based pest identification methods,introducing the application and development of different deep learning networks,analyzing the latest research progress of domestic and international scholars in the field,and comparing the performance and characteristics with each other.Existing pest recognition datasets are summarized to provide a reference for in-depth research on the application of pest recognition and detection.
会议名称:

第34届中国控制与决策会议

会议时间:

2022-08-15

会议地点:

中国安徽合肥

  • 专辑:

    农业科技; 信息科技

  • 专题:

    农业基础科学; 植物保护; 计算机软件及计算机应用; 自动化技术

  • DOI:

    10.26914/c.cnkihy.2022.025339

  • 分类号:

    S433;TP391.41;TP18

  • 手机阅读
    即刻使用手机阅读
    第一步

    扫描二维码下载

    "移动知网-全球学术快报"客户端

    第二步

    打开“全球学术快报”

    点击首页左上角的扫描图标

    第三步

    扫描二维码

    手机同步阅读本篇文献

  • CAJ下载
  • PDF下载

下载手机APP用APP扫此码同步阅读该篇文章

温馨提示:阅读CAJ格式原文,请使用CAJ浏览器

下载:41 页码:325-329 页数:5 大小:429k

引文网络
  • 参考文献
  • 引证文献
  • 共引文献
  • 同被引文献
  • 二级参考文献
  • 二级引证文献
相关推荐
  • 相似文献
  • 读者推荐
  • 相关基金文献
  • 相关法规
  • 关联作者
  • 相关视频