Crop Water Status Analysis from Complex Agricultural Data Using UMAP-Based Local Biplot
To optimize growth and management, precision agriculture relies on a deep understanding of agricultural dynamics, particularly crop water status analysis. Leveraging unmanned aerial vehicles, we can efficiently acquire high-resolution spatiotemporal samples by utilizing remote sensors. However, non-...
- Autores:
-
Triana-Martinez, Jenniffer Carolina
Álvarez-Meza, Andrés Marino
Gil-González, Julian
De Swaef, Tom
Fernandez-Gallego, Jose A
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2024
- Institución:
- Universidad de Ibagué
- Repositorio:
- Repositorio Universidad de Ibagué
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.unibague.edu.co:20.500.12313/5840
- Acceso en línea:
- https://doi.org/ 10.3390/rs16152854
https://hdl.handle.net/20.500.12313/5840
https://www.mdpi.com/2072-4292/16/15/2854
- Palabra clave:
- Cultivos - Estado hídrico
Antennas
Crops
Forestry
Linear transformations
Metadata
Precision agriculture
Regression analysis
- Rights
- openAccess
- License
- © 2024 by the authors.
