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Estimating Relative Chlorophyll Content in Rice Leaves Using Unmanned Aerial Vehicle Multi-Spectral Images and Spectral–Textural Analysis.

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Title: Estimating Relative Chlorophyll Content in Rice Leaves Using Unmanned Aerial Vehicle Multi-Spectral Images and Spectral–Textural Analysis.
Authors: Wang, Yuwei1 (AUTHOR) wangyuwei@stu.scau.edu.cn, Tan, Suiyan2 (AUTHOR) lhh619899573@gmail.com, Jia, Xingna3 (AUTHOR) alicecora3577@gmail.com, Qi, Long1,4 (AUTHOR) qilong@scau.edu.cn, Liu, Saisai1,4 (AUTHOR) 3500765715@stu.scau.edu.cn, Lu, Henghui2 (AUTHOR) yujie@stu.scau.edu.cn, Wang, Chengen1 (AUTHOR) wg121415@gmail.com, Liu, Weiwen1,4 (AUTHOR) 13787920032@stu.scau.edu.cn, Zhao, Xu1 (AUTHOR) zhao@stu.scau.edu.cn, He, Longxin5 (AUTHOR) helx@stu.scau.edu.cn, Chen, Jiongtao1 (AUTHOR) chenjt01@stu.scau.edu.cn, Yang, Chuanyi1 (AUTHOR) ycy3140079@stu.scau.edu.cn, Wang, Xicheng1,4 (AUTHOR) wang0105@stu.scau.edu.cn, Chen, Jiaying1 (AUTHOR) jyiang@stu.scau.edu.cn, Qin, Yijuan1 (AUTHOR) 843008544@stu.scau.edu.cn, Yu, Jie2 (AUTHOR), Ma, Xu1,4 (AUTHOR) tansuiyan@scau.edu.cn
Source: Agronomy. Jun2023, Vol. 13 Issue 6, p1541. 17p.
Database: Academic Search Ultimate
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ISSN:20734395
DOI:10.3390/agronomy13061541