Cargando…
Multispectral imaging and unmanned aerial systems for cotton plant phenotyping
This paper demonstrates the application of aerial multispectral images in cotton plant phenotyping. Four phenotypic traits (plant height, canopy cover, vegetation index, and flower) were measured from multispectral images captured by a multispectral camera on an unmanned aerial system. Data were col...
Autores principales: | Xu, Rui, Li, Changying, Paterson, Andrew H. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6392284/ https://www.ncbi.nlm.nih.gov/pubmed/30811435 http://dx.doi.org/10.1371/journal.pone.0205083 |
Ejemplares similares
-
Multispectral Detection of Commercial Unmanned Aerial Vehicles
por: Farlik, Jan, et al.
Publicado: (2019) -
Aerial Images and Convolutional Neural Network for Cotton Bloom Detection
por: Xu, Rui, et al.
Publicado: (2018) -
Estimating potassium in potato plants based on multispectral images acquired from unmanned aerial vehicles
por: Ma, YanPeng, et al.
Publicado: (2023) -
Monitoring Maize Lodging Grades via Unmanned Aerial Vehicle Multispectral Image
por: Sun, Qian, et al.
Publicado: (2019) -
Detection of rice sheath blight using an unmanned aerial system with high-resolution color and multispectral imaging
por: Zhang, Dongyan, et al.
Publicado: (2018)