Cargando…
Comparing UAV-Based Technologies and RGB-D Reconstruction Methods for Plant Height and Biomass Monitoring on Grass Ley
Pastures are botanically diverse and difficult to characterize. Digital modeling of pasture biomass and quality by non-destructive methods can provide highly valuable support for decision-making. This study aimed to evaluate aerial and on-ground methods to characterize grass ley fields, estimating p...
Autores principales: | Rueda-Ayala, Victor P., Peña, José M., Höglind, Mats, Bengochea-Guevara, José M., Andújar, Dionisio |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6387457/ https://www.ncbi.nlm.nih.gov/pubmed/30696014 http://dx.doi.org/10.3390/s19030535 |
Ejemplares similares
-
Evaluation of Vineyard Cropping Systems Using On-Board RGB-Depth Perception
por: Moreno, Hugo, et al.
Publicado: (2020) -
Influence of Wind Speed on RGB-D Images in Tree Plantations
por: Andújar, Dionisio, et al.
Publicado: (2017) -
Deep Learning Applied to Phenotyping of Biomass in Forages with UAV-Based RGB Imagery
por: Castro, Wellington, et al.
Publicado: (2020) -
On-Ground Vineyard Reconstruction Using a LiDAR-Based Automated System
por: Moreno, Hugo, et al.
Publicado: (2020) -
Merge Fuzzy Visual Servoing and GPS-Based Planning to Obtain a Proper Navigation Behavior for a Small Crop-Inspection Robot
por: Bengochea-Guevara, José M., et al.
Publicado: (2016)