• Spectroscopy and Spectral Analysis
  • Vol. 41, Issue 12, 3828 (2021)
Meng-meng DU1、*, Roshanianfard Ali2、2;, Ying-chao LIU3、3;, and [in Chinese]2、2;
Author Affiliations
  • 11. School of Agricultural Equipment Engineering, Henan University of Science and Technology, Luoyang 471003, China
  • 22. Faculty of Agriculture and Natural Resources, University of Mohaghegh Ardabili, 56199-11367, Ardabil, Iran
  • 33. School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
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    DOI: 10.3964/j.issn.1000-0593(2021)12-3828-09 Cite this Article
    Meng-meng DU, Roshanianfard Ali, Ying-chao LIU, [in Chinese]. Inversion of Wheat Tiller Density Based on Visible-Band Images of Drone[J]. Spectroscopy and Spectral Analysis, 2021, 41(12): 3828 Copy Citation Text show less
    References

    [6] Noboru Noguchi, Mengmeng Du. Remote Sensing, 9, 289(2017).

    [7] Noboru Noguchi, Atsushi Itoh, Mengmeng Du et al. International Journal of Agricultural and Biological Engineering, 10, 1(2017).

    [8] Xiuliang Jin, Shouyang Liu, Baret Frederic et al. Remote Sensing of Environment, 198, 105(2017).

    [9] R Weisz, D Farrer, R Sripada et al. Agronomy Journal, 99, 1424(2007).

    [10] B Basso, D Cammarano, C Fiorentino et al. Precision Agriculture, 17, 168(2016).

    [11] A Klatt, O Walsh, J Solie et al. Precision Agriculture, 14, 343(2013).

    [12] F Rezzouk, R Gracia, S Kefauver et al. Plant Science, 295, 110281(2019).

    [17] X Ji, H Zheng, J Jiang et al. Sensors, 19, 747(2019).

    Meng-meng DU, Roshanianfard Ali, Ying-chao LIU, [in Chinese]. Inversion of Wheat Tiller Density Based on Visible-Band Images of Drone[J]. Spectroscopy and Spectral Analysis, 2021, 41(12): 3828
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