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

Wei Ma 1 Xiu Wang 1 Lijun Qi 2 Cuiling Li 1
1 Beijing Research Center of Intelligent Equipment for Agriculture
2 College of Engineering [Beijing]
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 : UAV monitoring Edge detection K value clustering
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IFIP | IFIP-AICT | IFIP-TC | IFIP-TC5 | IFIP-WG5-14 | IFIP-CCTA | IFIP-AICT-509

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Wei Ma, Xiu Wang, Lijun Qi, Cuiling Li. Research on Method of Image Extraction for Crop Monitoring with Multi Rotor UAV. 10th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Oct 2016, Dongying, China. pp.489-495, ⟨10.1007/978-3-030-06155-5_50⟩. ⟨hal-02179967⟩

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