Allometric relationships for biomass estimation of persimmon trees using a field robot, LiDAR and photogrammetry
Chemical analyses of plants for nutritional diagnoses are destructive, complex, and timeconsuming. Fast and non-destructive alternatives based on optical sensors can perform the nutritional status of plants in the field [1]. While data captured by spectral sensors can be used to determine the nut...
| Autores principales: | , , , , , |
|---|---|
| Formato: | conferenceObject |
| Lenguaje: | Inglés |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/20.500.11939/8937 |
Ejemplares similares: Allometric relationships for biomass estimation of persimmon trees using a field robot, LiDAR and photogrammetry
- Estimation of height and aerial biomass in Eucalyptus globulus plantations using UAV-LiDAR
- RobHortic: A Field Robot to Detect Pests and Diseases in Horticultural Crops by Proximal Sensing
- Estimation of aboveground biomass and carbon sequestration in a cocoa agroforestry system using UAV-LiDAR in northwestern Peru
- Firmness prediction in 'Rojo Brillante' persimmon using hyperspectral imaging technology
- Determinación de la textura en caqui "Rojo brillante" mediante imagen hyiperspectral Vis-NIR
- Preliminary approach for the detection of olive trees infected by Xylella fastidiosa using a field robot and proximal sensing