Estimation of crop plant density at early mixed growth stages using UAV imagery
Author:
Funder
Cooperative Research Centres Projects
Publisher
Springer Science and Business Media LLC
Subject
Plant Science,Genetics,Biotechnology
Link
http://link.springer.com/content/pdf/10.1186/s13007-019-0449-1.pdf
Reference19 articles.
1. Yang G, Liu J, Zhao C, Li Z, Huang Y, Yu H, Xu B, Yang X, Zhu D, Zhang X, et al. Unmanned aerial vehicle remote sensing for field-based crop phenotyping: current status and perspectives. Front Plant Sci. 2017;8:1111.
2. Zhang C, Kovacs JM. The application of small unmanned aerial systems for precision agriculture: a review. Precis Agric. 2012;13(6):693–712.
3. Holman F, Riche A, Michalski A, Castle M, Wooster M, Hawkesford M. High throughput field phenotyping of wheat plant height and growth rate in field plot trials using UAV based remote sensing. Remote Sens. 2016;8(12):1031.
4. Ludovisi R, Tauro F, Salvati R, Khoury S, Mugnozza Scarascia G, Harfouche A. UAV-based thermal imaging for high-throughput field phenotyping of black poplar response to drought. Front Plant Sci. 2017;8:1681.
5. Madec S, Baret F, de Solan B, Thomas S, Dutartre D, Jezequel S, Hemmerlé M, Colombeau G, Comar A. High-throughput phenotyping of plant height: comparing unmanned aerial vehicles and ground LiDAR estimates. Front Plant Sci. 2017;8:2002.
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