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-...

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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.