Cargando…
Designing and Testing a UAV Mapping System for Agricultural Field Surveying
A Light Detection and Ranging (LiDAR) sensor mounted on an Unmanned Aerial Vehicle (UAV) can map the overflown environment in point clouds. Mapped canopy heights allow for the estimation of crop biomass in agriculture. The work presented in this paper contributes to sensory UAV setup design for mapp...
Autores principales: | Christiansen, Martin Peter, Laursen, Morten Stigaard, Jørgensen, Rasmus Nyholm, Skovsen, Søren, Gislum, René |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5751509/ https://www.ncbi.nlm.nih.gov/pubmed/29168783 http://dx.doi.org/10.3390/s17122703 |
Ejemplares similares
-
Robust Species Distribution Mapping of Crop Mixtures Using Color Images and Convolutional Neural Networks
por: Skovsen, Søren Kelstrup, et al.
Publicado: (2020) -
FieldSAFE: Dataset for Obstacle Detection in Agriculture
por: Kragh, Mikkel Fly, et al.
Publicado: (2017) -
Estimation of the Botanical Composition of Clover-Grass Leys from RGB Images Using Data Simulation and Fully Convolutional Neural Networks
por: Skovsen, Søren, et al.
Publicado: (2017) -
A Novel Locating System for Cereal Plant Stem Emerging Points’ Detection Using a Convolutional Neural Network
por: Karimi, Hadi, et al.
Publicado: (2018) -
Dicotyledon Weed Quantification Algorithm for Selective Herbicide Application in Maize Crops
por: Laursen, Morten Stigaard, et al.
Publicado: (2016)