Dynamic monitoring of biomass of rice under different nitrogen treatments using a lightweight UAV with dual image-frame snapshot cameras-Reference-Cited by-同舟云学术

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Dynamic monitoring of biomass of rice under different nitrogen treatments using a lightweight UAV with dual image-frame snapshot cameras

Published:2019-03-27 Issue:1 Volume:15 Page:
ISSN:1746-4811
Container-title:Plant Methods
language:en
Short-container-title:Plant Methods

Author:

Cen Haiyan,Wan Liang,Zhu Jiangpeng,Li Yijian,Li Xiaoran,Zhu Yueming,Weng Haiyong,Wu Weikang,Yin Wenxin,Xu Chi,Bao Yidan,Feng Lei,Shou Jianyao,He Yong

Funder

Key Research and Development Program from the Science Technology Department of Zhejiang Province

National Key R & D Program supported by Ministry of Science and Technology of the P.R. China

Publisher

Springer Science and Business Media LLC

Subject

Plant Science,Genetics,Biotechnology

Link

http://link.springer.com/content/pdf/10.1186/s13007-019-0418-8.pdf

Reference56 articles.

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2. Li W, Niu Z, Chen H, Li D, Wu M, Zhao W. Remote estimation of canopy height and aboveground biomass of maize using high-resolution stereo images from a low-cost unmanned aerial vehicle system. Ecol Indic. 2016;67:637–48. https://doi.org/10.1016/j.ecolind.2016.03.036 .

3. Zhang X, Chen S, Sun H, Pei D, Wang Y. Dry matter, harvest index, grain yield and water use efficiency as affected by water supply in winter wheat. Irrig Sci. 2008;27(1):1–10. https://doi.org/10.1007/s00271-008-0131-2 .

4. Adamchuk VI, Ferguson RB. Soil heterogeneity and crop growth. In: Oerke EC, Gerhards R, Menz G, Sikora RA, editors. Precision crop protection—the challenge and use of heterogeneity. Dordrecht: Springer; 2010. p. 3–16. https://doi.org/10.1007/978-90-481-9277-9_1 .

5. Cheng T, Song R, Li D, Zhou K, Zheng H, Yao X, Tian Y, Cao W, Zhu Y. Spectroscopic estimation of biomass in canopy components of paddy rice using dry matter and chlorophyll indices. Remote Sens. 2017;9(4):319. https://doi.org/10.3390/rs9040319 .

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