Scaling-up plant chlorophyll retrieval from proximal to UAV-borne hyperspectral data using a Gaussian process hybrid model
The advent of unmanned aerial vehicles (UAVs) has made a breakthrough in agriculture by capturing high spatial-resolution data of croplands, facilitating the mapping of important crop health parameters. The chlorophyll content is a strong indicator of crop health due to its crucial role in photosynt...
| Autores principales: | , , , , , , , , , , |
|---|---|
| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Taylor & Francis Group
2025
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/179782 |
Ejemplares similares: Scaling-up plant chlorophyll retrieval from proximal to UAV-borne hyperspectral data using a Gaussian process hybrid model
- Estimating Leaf Area Index of Wheat Using UAV-Hyperspectral Remote Sensing and Machine Learning
- UAV Sensing of Rice for Precision Nitrogen Monitoring
- GM Mustard: Let the Dhara flow as this tech is pro-farmer and pro-science
- Assessing the vulnerability of Indian mustard to climate change
- Cocinemos con mostaza
- Destructive insect pests and diseases of mustard and their integrated management