Early season detection of rice plants using RGB, NIR-G-B and multispectral images from unmanned aerial vehicle (UAV)-Reference-Cited by-同舟云学术

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Early season detection of rice plants using RGB, NIR-G-B and multispectral images from unmanned aerial vehicle (UAV)

Published:2020-02 Issue: Volume:169 Page:105223
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Zheng Hengbiao,Zhou Xiang,He Jiaoyang,Yao Xia,Cheng Tao,Zhu Yan,Cao Weixing,Tian Yongchao

Funder

China Postdoctoral Science Foundation

Natural Science Foundation of Jiangsu Province

Science and Technology Support Program of Jiangsu Province

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference59 articles.

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4. Crop segmentation from images by morphology modeling in the CIE L* a* b* color space;Bai;Comput. Electron. Agric.,2013

5. Sentinel-2 cropland mapping using pixel-based and object-based time-weighted dynamic time warping analysis;Belgiu;Remote Sens. Environ.,2018

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