Cargando…
Greenotyper: Image-Based Plant Phenotyping Using Distributed Computing and Deep Learning
Image-based phenotype data with high temporal resolution offers advantages over end-point measurements in plant quantitative genetics experiments, because growth dynamics can be assessed and analysed for genotype-phenotype association. Recently, network-based camera systems have been deployed as cus...
Autores principales: | Tausen, Marni, Clausen, Marc, Moeskjær, Sara, Shihavuddin, ASM, Dahl, Anders Bjorholm, Janss, Luc, Andersen, Stig Uggerhøj |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7427585/ https://www.ncbi.nlm.nih.gov/pubmed/32849731 http://dx.doi.org/10.3389/fpls.2020.01181 |
Ejemplares similares
-
Editorial: Molecular and Cellular Mechanisms of the Legume-Rhizobia Symbiosis
por: Wang, Jianping, et al.
Publicado: (2018) -
Deep Plant Phenomics: A Deep Learning Platform for Complex Plant Phenotyping Tasks
por: Ubbens, Jordan R., et al.
Publicado: (2017) -
Corrigendum: Deep Plant Phenomics: A Deep Learning Platform for Complex Plant Phenotyping Tasks
por: Ubbens, Jordan R., et al.
Publicado: (2018) -
Outdoor Plant Segmentation With Deep Learning for High-Throughput Field Phenotyping on a Diverse Wheat Dataset
por: Zenkl, Radek, et al.
Publicado: (2022) -
InSegtCone: interactive segmentation of crystalline cones in compound eyes
por: Tichit, Pierre, et al.
Publicado: (2022)