Detection and segmentation of vine canopy in ultra-high spatial resolution RGB imagery obtained from unmanned aerial vehicle (UAV) :a case study in a commercial vineyard
The use of Unmanned Aerial Vehicles (UAVs) in viticulture permits the capture of aerial Red-Green-Blue (RGB) images with an ultra-high spatial resolution. Recent studies have demonstrated that RGB images can be used to monitor spatial variability of vine biophysical parameters. However, for estimati...
| Main Authors: | , , , |
|---|---|
| Format: | Artículo |
| Language: | Inglés |
| Published: |
2017
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.12123/1402 http://mdpi.com/2072-4292/9/3/268 https://doi.org/10.3390/rs9030268 |
Similar Items: Detection and segmentation of vine canopy in ultra-high spatial resolution RGB imagery obtained from unmanned aerial vehicle (UAV) :a case study in a commercial vineyard
- Estimation of maize foliar temperature and stomatal conductance as indicators of water stress based on optical and thermal imagery acquired using an Unmanned Aerial Vehicle (UAV) platform
- Rice phenotyping using unmanned aerial vehicles: Analyzing morphological characteristics and yield
- Aerial Monitoring of Rice Crop Variables using an UAV Robotic System
- Crop monitoring in smallholder farms using unmanned aerial vehicles to facilitate precision agriculture practices: a scoping review and bibliometric analysis
- An unmanned aerial vehicle (UAV) technology for estimating leaf N content in rice crops, from multispectral imagery
- Assessment of drip irrigation sub-units using airborne thermal imagery acquired with an Unmanned Aerial Vehicle (UAV)