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

Ablet Ershat; Maimaitiaili Baidengsha; Sawut Mamat; Shenqun An

doi:10.3788/AOS201939.0930003

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 Ershat^1,2, Maimaitiaili Baidengsha⁴, Sawut Mamat^1,2,3、*, 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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