Cargando…
Deep Segmentation of Point Clouds of Wheat
The 3D analysis of plants has become increasingly effective in modeling the relative structure of organs and other traits of interest. In this paper, we introduce a novel pattern-based deep neural network, Pattern-Net, for segmentation of point clouds of wheat. This study is the first to segment the...
Autores principales: | Ghahremani, Morteza, Williams, Kevin, Corke, Fiona M. K., Tiddeman, Bernard, Liu, Yonghuai, Doonan, John H. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8025700/ https://www.ncbi.nlm.nih.gov/pubmed/33841454 http://dx.doi.org/10.3389/fpls.2021.608732 |
Ejemplares similares
-
Functional Mapping of Quantitative Trait Loci (QTLs) Associated With Plant Performance in a Wheat MAGIC Mapping Population
por: Camargo, Anyela V., et al.
Publicado: (2018) -
Point clouds segmentation of rapeseed siliques based on sparse-dense point clouds mapping
por: Qiao, Yuhui, et al.
Publicado: (2023) -
Determining Phenological Patterns Associated with the Onset of Senescence in a Wheat MAGIC Mapping Population
por: Camargo, Anyela V., et al.
Publicado: (2016) -
DeepPod: a convolutional neural network based quantification of fruit number in Arabidopsis
por: Hamidinekoo, Azam, et al.
Publicado: (2020) -
Identification lodging degree of wheat using point cloud data and convolutional neural network
por: Li, Yunlong, et al.
Publicado: (2022)