您好，欢迎访问中国农业科学院 机构知识库！

全部

  • 全部
  • 标题
  • 学者
  • 机构
  • 关键词

Remote Sensing Extraction of Crown Planar Area and Plant Number of Papayas Using UAV Images with Very High Spatial Resolution

文献类型： 外文期刊

作者： Lai, Shuangshuang 1 ; Ming, Hailin 1 ; Huang, Qiuyan 2 ; Qin, Zhihao 2 ; Duan, Lian 1 ; Cheng, Fei 4 ; Han, Guangping 5 ;

作者机构： 1.Nanning Normal Univ, Sch Nat Resources & Surveying, Nanning 530100, Peoples R China

2.Nanning Normal Univ, Sch Geog Sci & Planning, Key Lab Remote Sensing Subtrop Agr, Nanning 530100, Peoples R China

3.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, State Key Lab Efficient Utilizat Arid & Semiarid A, Beijing 100081, Peoples R China

4.Guangxi Univ, Coll Forestry, Nanning 530004, Peoples R China

5.Guangxi Zhuang Autonomous Reg Inst Nat Resources, Nanning 530023, Peoples R China

关键词： remote sensing of papaya orchard; Otsu's method; low-pass filter; mean-standard deviation threshold; crown planar area extraction; plant number extraction

期刊名称：AGRONOMY-BASEL （ 影响因子：3.7； 五年影响因子：4.0 ）

ISSN：

年卷期： 2024 年 14 卷 3 期

页码：

收录情况： SCI

摘要： The efficient management of commercial orchards strongly requires accurate information on plant growing status for the implementation of necessary farming activities such as irrigation, fertilization, and pest control. Crown planar area and plant number are two very important parameters directly relating to fruit growth conditions and the final productivity of an orchard. In this study, in order to propose a novel and effective method to extract the crown planar area and number of mature and young papayas based on visible light images obtained from a DJ Phantom 4 RTK, we compared different vegetation indices (NGRDI, RGBVI, and VDVI), filter types (high- and low-pass filters), and filter convolution kernel sizes (3-51 pixels). Then, Otsu's method was used to segment the crown planar area of the papayas, and the mean-standard deviation threshold (MSDT) method was used to identify the number of plants. Finally, the extraction accuracy of the crown planar area and number of mature and young papayas was validated. The results show that VDVI had the highest capability to separate the papayas from other ground objects. The best filter convolution kernel size was 23 pixels for the low-pass filter extraction of crown planar areas in mature and young plants. As to the plant number identification, segmentation could be set to the threshold with the highest F-score, i.e., the deviation coefficient n = 0 for single young papaya plants, n = 1 for single mature ones, and n = 1.4 for crown-connecting mature ones. Verification indicated that the average accuracy of crown planar area extraction was 93.71% for both young and mature papaya orchards and 95.54% for extracting the number of papaya plants. This set of methods can provide a reference for information extraction regarding papaya and other fruit trees with a similar crown morphology.

  • 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：中国农业科学院

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