Evaluation of novel precision viticulture tool for canopy biomass estimation and missing plant detection based on 2.5D and 3D approaches using RGB images acquired by UAV platform-Reference-Cited by-同舟云学术

Evaluation of novel precision viticulture tool for canopy biomass estimation and missing plant detection based on 2.5D and 3D approaches using RGB images acquired by UAV platform

Published:2020-07-03 Issue:1 Volume:16 Page:
ISSN:1746-4811
Container-title:Plant Methods
language:en
Short-container-title:Plant Methods

Author:

Di Gennaro Salvatore Filippo^ORCID,Matese Alessandro^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Plant Science,Genetics,Biotechnology

Link

http://link.springer.com/content/pdf/10.1186/s13007-020-00632-2.pdf

Reference30 articles.

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3. Ballesteros R, Ortega JF, Hernández D, Moreno MA. Characterization of Vitis vinifera L. canopy using unmanned aerial vehicle-based remote sensing and photogrammetry techniques. Am J Enol Viticult. 2015;66:120–9.

4. Bendig J, Bolten A, Bennertz S, Broscheit J, Eichfuss S, Bareth G. Estimating biomass of barley using crop surface models (CSMs) derived from UAV-Based RGB imaging. Remote Sens. 2014;6(11):10395–412.

5. Bendig J, Yu K, Aasen H, Bolten A, Bennertz S, Broscheit J. Combining UAV-based plant height from crop surface models, visible, and near infrared vegetation indices for biomass monitoring in barley. Int J Appl Earth Obs. 2015;39:79–87.

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