Acta Optica Sinica, Volume. 39, Issue 9, 0930003(2019)

Combined Estimation of Chlorophyll Content in Cotton Canopy Based on Hyperspectral Parameters and Back Propagation Neural Network

Ablet Ershat1,2, Maimaitiaili Baidengsha4, Sawut Mamat1,2,3、*, and Shenqun An5
Author Affiliations
  • 1 College of Resource and Environment Sciences, Xinjiang University, Urumqi, Xinjiang 830046, China
  • 2 Key Laboratory of Oasis Ecology of Ministry of Education, Urumqi, Xinjiang 830046, China
  • 3 Key Laboratory of Xinjiang General Institutions of Higher Learning for Smart City and Environment Modeling, Urumqi, Xinjiang 830046, China
  • 4 Institute of Nuclear and Biotechnologies, Xinjiang Academy of Agricultural Sciences, Urumqi, Xinjiang 830046, China
  • 5 College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China
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    Ablet Ershat, Maimaitiaili Baidengsha, Sawut Mamat, Shenqun An. Combined Estimation of Chlorophyll Content in Cotton Canopy Based on Hyperspectral Parameters and Back Propagation Neural Network[J]. Acta Optica Sinica, 2019, 39(9): 0930003

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    Paper Information

    Category: Spectroscopy

    Received: Mar. 12, 2019

    Accepted: May. 6, 2019

    Published Online: Sep. 9, 2019

    The Author Email: Mamat Sawut (korxat@xju.edu.cn)

    DOI:10.3788/AOS201939.0930003

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