您好，欢迎访问北京市农林科学院 机构知识库！
北京市农林科学院机构知识库

全部

  • 全部
  • 标题
  • 学者
  • 机构
  • 关键词

Comparison of the performance of Multi-source Three-dimensional structural data in the application of monitoring maize lodging

文献类型： 外文期刊

作者： Hu, Xueqian 1 ; Gu, Xiaohe 1 ; Sun, Qian 1 ; Yang, Yue 1 ; Qu, Xuzhou 1 ; Yang, Xin 1 ; Guo, Rui 1 ;

作者机构： 1.Beijing Acad Agr & Forestry Sci, Res Ctr Informat Technol, Beijing 100089, Peoples R China

2.China Agr Univ, Coll Land Sci & Technol, Beijing 100083, Peoples R China

3.China Agr Univ, Coll Informat & Elect Engn, Beijing 100083, Peoples R China

4.Changan Univ, Sch Earth Sci & Resources, Xian 710054, Peoples R China

关键词： Lodging severity; Unmanned aerial vehicle; LiDAR; Three-dimensional data; Canopy structure

期刊名称：COMPUTERS AND ELECTRONICS IN AGRICULTURE （ 影响因子：8.3； 五年影响因子：8.3 ）

ISSN： 0168-1699

年卷期： 2023 年 208 卷

页码：

收录情况： SCI

摘要： Lodging is one of the common stresses in maize production, which affects the benefit of farmers and impacts food security. Rapid monitoring of crop lodging can support loss assessment and agricultural insurance claims. Un-manned aerial vehicle (UAV) technology has been widely used in maize lodging monitoring in recent years. Compared with remote sensing monitoring based on spectral and texture features, the method based on crop three-dimensional structure data can accurately and quantitatively monitor the severity of maize lodging. The purpose of this study was to compare the effectiveness of UAV-LiDAR, backpack LiDAR, and 3D model recon-struction of UAV digital image (UAV-DIM) data on monitoring maize lodging. The canopy height model (CHM) was constructed using three kinds of data in the same conditions, and the canopy height of different lodging types of maize was extracted. The angle inversion model was proposed and the lodging angle of maize in the exper-imental plots was calculated. The results showed that UAV-LiDAR had the best performance in monitoring maize lodging. The determination coefficient (R2) of the canopy height was 0.956, while the RMSE was 0.097 m and NRMSE was 0.067. The correlation coefficient (rho) of the lodging angle was about 0.9. It is the best method to monitor the lodging of maize based on three-dimensional structural information. The R2, RMSE, and NRMSE of canopy height by the UAV-DIM method were 0.790, 0.482 m, and 0.336, rho >= 0.8, respectively. It shows that the accuracy of maize lodging monitoring by this method is weaker than those of the UAV-LiDAR and backpack LiDAR methods. However, considering the advantages of low cost and high efficiency of data acquisition, the UAV-DIM method still has a wide application prospect in crop lodging monitoring.

  • 相关文献
作者其他论文 更多>>
置顶
购物车
反馈

© 京ICP备09089781号-29 主办单位：北京市农林科学院

学术资源： 中国农业科学院 农业专业知识服务系统 农科联盟资源共建共享平台 中国农业科技文献与信息服务平台 中国农业期刊集成服务平台