Xf-Rovim. A Field Robot to Detect Olive Trees Infected by Xylella Fastidiosa Using Proximal Sensing
The use of remote sensing to map the distribution of plant diseases has evolved considerably over the last three decades and can be performed at different scales, depending on the area to be monitored, as well as the spatial and spectral resolution required. This work describes the development of a...
| Autores principales: | , , , |
|---|---|
| Formato: | Artículo |
| Lenguaje: | Inglés |
| Publicado: |
MDPI
2019
|
| Materias: | |
| Acceso en línea: | http://hdl.handle.net/20.500.11939/6286 https://www.mdpi.com/2072-4292/11/3/221/htm |
Ejemplares similares: Xf-Rovim. A Field Robot to Detect Olive Trees Infected by Xylella Fastidiosa Using Proximal Sensing
- Preliminary approach for the detection of olive trees infected by Xylella fastidiosa using a field robot and proximal sensing
- RobHortic: A Field Robot to Detect Pests and Diseases in Horticultural Crops by Proximal Sensing
- XF-ROVIM, un robot para la detección de enfermedades en campo mediante teledetección. Aplicación a la detección de Xylella fastidiosa
- Field robot to detect plants infected by Candidatus Liberibacter solanacearum in horticultural crops using multispectral computer vision
- BrRacemeCounter: An AI-based desktop tool for counting racemes in Urochloa spp.
- Performance of tree stem isolation algorithms for terrestrial laser scanning point clouds