ICAR Research Data Repository for Knowledge Management
Predictive modeling of nutritional quality in Urochloa pastures from multispectral sensors and images using machine learning approaches
CGSpace
View Archive Info| Field | Value | |
| Title |
Predictive modeling of nutritional quality in Urochloa pastures from multispectral sensors and images using machine learning approaches
|
|
| Creator |
Camelo-Munevar, Rodrigo Andrés
Hernández, Luis Miguel Jauregui, Rosa Cardoso-Arango, Juan Andrés |
|
| Subject |
plant nutrition
machine learning productivity pastures nutritive value unmanned aerial vehicles models Urochloa |
|
| Date |
2023-10-23
2023-11-09T15:35:23Z 2023-11-09T15:35:23Z |
|
| Type |
Poster
|
|
| Identifier |
Camelo-Munevar, R.A.; Hernández, L.M.; Jauregui, R.; Cardoso-Arango, J.A. (2023) Predictive modeling of nutritional quality in Urochloa pastures from multispectral sensors and images using machine learning approaches. Poster prepared for African Plant Breeders Association 2023 Conference - Leveraging Genetic Innovation for Resilient African Food Systems in the wake of Global Shocks. Benguerir, Morocco, 23-26 October 2023. Cali (Colombia): International Center for Tropical Agriculture. 1 p.
https://hdl.handle.net/10568/132880 |
|
| Language |
en
|
|
| Rights |
CC-BY-4.0
Open Access |
|
| Format |
1 p.
application/pdf |
|
| Publisher |
International Center for Tropical Agriculture
|
|