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Research on Method of Image Extraction for Crop Monitoring with Multi Rotor UAV

  • Wei Ma
  • Xiu Wang
  • Lijun Qi
  • Cuiling Li
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 509)

Abstract

In this paper, the distribution of weeds in winter wheat was obtained by UAV. A model is established by K value clustering and edge detection algorithms. Key images of different flying angle of UAV for farmland weeds were extracted. The research results show that the edge detection algorithm is suitable for UAV image processing. The recognition accuracy of the weeds was more than 90%. The accuracy of the identification of three typical grass conditions is achieved 98.3%. The conclusion of the study is to provide guidance for UAV variable spraying.

Keywords

K value clustering Edge detection UAV monitoring 

Notes

Acknowledgements

This work was supported by the National Key Research and Development of China during the 13th Five-Year Plan Period (No. 2017YFD0701101) and our research center Innovation team project (JNKST201619). Sincere thanks to Dr. Zhang Ruirui for helping me complete field image collection using UAV.

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Copyright information

© IFIP International Federation for Information Processing 2019

Authors and Affiliations

  1. 1.National Research Center of Intelligent Equipment for Agriculture/Beijing Key Laboratory of Intelligent Equipment Technology for AgricultureBeijingChina
  2. 2.College of EngineeringChina Agricultural UniversityBeijingChina

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