Cargando…
Application of UAV Multisensor Data and Ensemble Approach for High-Throughput Estimation of Maize Phenotyping Traits
High-throughput estimation of phenotypic traits from UAV (unmanned aerial vehicle) images is helpful to improve the screening efficiency of breeding maize. Accurately estimating phenotyping traits of breeding maize at plot scale helps to promote gene mining for specific traits and provides a guarant...
Autores principales: | Shu, Meiyan, Fei, Shuaipeng, Zhang, Bingyu, Yang, Xiaohong, Guo, Yan, Li, Baoguo, Ma, Yuntao |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AAAS
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9489231/ https://www.ncbi.nlm.nih.gov/pubmed/36158531 http://dx.doi.org/10.34133/2022/9802585 |
Ejemplares similares
-
The Application of UAV-Based Hyperspectral Imaging to Estimate Crop Traits in Maize Inbred Lines
por: Shu, Meiyan, et al.
Publicado: (2021) -
Multisensor Super Resolution Using Directionally-Adaptive Regularization for UAV Images
por: Kang, Wonseok, et al.
Publicado: (2015) -
Entropy Weight Ensemble Framework for Yield Prediction of Winter Wheat Under Different Water Stress Treatments Using Unmanned Aerial Vehicle-Based Multispectral and Thermal Data
por: Fei, Shuaipeng, et al.
Publicado: (2021) -
UAV Multisensory Data Fusion and Multi-Task Deep Learning for High-Throughput Maize Phenotyping
por: Nguyen, Canh, et al.
Publicado: (2023) -
High-Throughput Switchgrass Phenotyping and Biomass Modeling by UAV
por: Li, Fei, et al.
Publicado: (2020)