Cargando…
Quantitative Analysis of Cotton Canopy Size in Field Conditions Using a Consumer-Grade RGB-D Camera
Plant canopy structure can strongly affect crop functions such as yield and stress tolerance, and canopy size is an important aspect of canopy structure. Manual assessment of canopy size is laborious and imprecise, and cannot measure multi-dimensional traits such as projected leaf area and canopy vo...
Autores principales: | Jiang, Yu, Li, Changying, Paterson, Andrew H., Sun, Shangpeng, Xu, Rui, Robertson, Jon |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5797632/ https://www.ncbi.nlm.nih.gov/pubmed/29441074 http://dx.doi.org/10.3389/fpls.2017.02233 |
Ejemplares similares
-
Aerial Images and Convolutional Neural Network for Cotton Bloom Detection
por: Xu, Rui, et al.
Publicado: (2018) -
In-field High Throughput Phenotyping and Cotton Plant Growth Analysis Using LiDAR
por: Sun, Shangpeng, et al.
Publicado: (2018) -
Dynamic detection of three-dimensional crop phenotypes based on a consumer-grade RGB-D camera
por: Song, Peng, et al.
Publicado: (2023) -
DeepFlower: a deep learning-based approach to characterize flowering patterns of cotton plants in the field
por: Jiang, Yu, et al.
Publicado: (2020) -
GPhenoVision: A Ground Mobile System with Multi-modal Imaging for Field-Based High Throughput Phenotyping of Cotton
por: Jiang, Yu, et al.
Publicado: (2018)