Cargando…
LiDAR Is Effective in Characterizing Vine Growth and Detecting Associated Genetic Loci
The strong societal demand to reduce pesticide use and adaptation to climate change challenges the capacities of phenotyping new varieties in the vineyard. High-throughput phenotyping is a way to obtain meaningful and reliable information on hundreds of genotypes in a limited period. We evaluated tr...
Autores principales: | Chedid, Elsa, Avia, Komlan, Dumas, Vincent, Ley, Lionel, Reibel, Nicolas, Butterlin, Gisèle, Soma, Maxime, Lopez-Lozano, Raul, Baret, Frédéric, Merdinoglu, Didier, Duchêne, Éric |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AAAS
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10655830/ https://www.ncbi.nlm.nih.gov/pubmed/38026470 http://dx.doi.org/10.34133/plantphenomics.0116 |
Ejemplares similares
-
Georeferenced LiDAR 3D Vine Plantation Map Generation
por: Llorens, Jordi, et al.
Publicado: (2011) -
VineLiDAR: High-resolution UAV-LiDAR vineyard dataset acquired over two years in northern Spain
por: Vélez, Sergio, et al.
Publicado: (2023) -
Requirements for Automotive LiDAR Systems
por: Dai, Zhuoqun, et al.
Publicado: (2022) -
LiDAR Intensity Completion: Fully Exploiting the Message from LiDAR Sensors
por: Dai, Weichen, et al.
Publicado: (2022) -
LiDAR remote sensing and applications
por: Dong, Pinliang, et al.
Publicado: (2017)