Spectroscopy and Spectral Analysis, Volume. 40, Issue 7, 2253(2020)

Chlorophyll Content Detection Based on Image Segmentation by Plant Spectroscopy

LONG Yao-wei1... LI Min-zan1, GAO De-hua1, ZHANG Zhi-yong1, SUN Hong1,* and Qin ZHang2 |Show fewer author(s)
Author Affiliations
  • 1[in Chinese]
  • 2Center for Precision & Automated Agricultural System, Washington State University, Pullman WA 99350, USA
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    References(7)

    [1] [1] Li Dan, Wang Chongyang, Hao Jiang, et al. Computers and Electronics in Agriculture, 2018, 154: 176.

    [2] [2] Diego Inácio Patrício. Computers and Electronics in Agriculture, 2018, 153(10): 69.

    [3] [3] Hassan M A, Yang M J, Rasheed A, et al. Plant Science, 2019, 282: 95.

    [6] [6] Jiang Rui, Wang Pei, Xu Yan, et al. Sensors, 2019, 19(8): 1859.

    [7] [7] Wartini Nga, Budiman Minasnya, Brendan P Malonea, et al. Computers and Electronics in Agriculture, 2019, 158: 201.

    [9] [9] Mishra P, Asaari M S M, Ana Herrero Langreo, et al. Biosystems Engineering, 2017, 164: 49.

    [10] [10] Li L, Zhang Q, Huang D. Sensors, 2014, 14(11): 20078.

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    LONG Yao-wei, LI Min-zan, GAO De-hua, ZHANG Zhi-yong, SUN Hong, Qin ZHang. Chlorophyll Content Detection Based on Image Segmentation by Plant Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2020, 40(7): 2253

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    Paper Information

    Received: Jun. 15, 2019

    Accepted: --

    Published Online: Dec. 5, 2020

    The Author Email: SUN Hong (sunhong@cau.edu.cn)

    DOI:10.3964/j.issn.1000-0593(2020)07-2253-06

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