Predictive modeling of nutritional quality in Urochloa pastures from multispectral sensors and images using machine learning approaches
| Autores principales: | , , , |
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| Formato: | Póster |
| Lenguaje: | Inglés |
| Publicado: |
International Center for Tropical Agriculture
2023
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/132880 |
| _version_ | 1855537437075308544 |
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| author | Camelo-Munevar, Rodrigo Andrés Hernández, Luis Miguel Jauregui, Rosa Cardoso Arango, Juan Andrés |
| author_browse | Camelo-Munevar, Rodrigo Andrés Cardoso Arango, Juan Andrés Hernández, Luis Miguel Jauregui, Rosa |
| author_facet | Camelo-Munevar, Rodrigo Andrés Hernández, Luis Miguel Jauregui, Rosa Cardoso Arango, Juan Andrés |
| author_sort | Camelo-Munevar, Rodrigo Andrés |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| format | Poster |
| id | CGSpace132880 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | International Center for Tropical Agriculture |
| publisherStr | International Center for Tropical Agriculture |
| record_format | dspace |
| spelling | CGSpace1328802025-11-05T12:31:02Z Predictive modeling of nutritional quality in Urochloa pastures from multispectral sensors and images using machine learning approaches Camelo-Munevar, Rodrigo Andrés Hernández, Luis Miguel Jauregui, Rosa Cardoso Arango, Juan Andrés plant nutrition machine learning productivity pastures nutritive value unmanned aerial vehicles models urochloa 2023-10-23 2023-11-09T15:35:23Z 2023-11-09T15:35:23Z Poster https://hdl.handle.net/10568/132880 en Open Access application/pdf International Center for Tropical Agriculture 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. |
| spellingShingle | plant nutrition machine learning productivity pastures nutritive value unmanned aerial vehicles models urochloa Camelo-Munevar, Rodrigo Andrés Hernández, Luis Miguel Jauregui, Rosa Cardoso Arango, Juan Andrés Predictive modeling of nutritional quality in Urochloa pastures from multispectral sensors and images using machine learning approaches |
| title | Predictive modeling of nutritional quality in Urochloa pastures from multispectral sensors and images using machine learning approaches |
| title_full | Predictive modeling of nutritional quality in Urochloa pastures from multispectral sensors and images using machine learning approaches |
| title_fullStr | Predictive modeling of nutritional quality in Urochloa pastures from multispectral sensors and images using machine learning approaches |
| title_full_unstemmed | Predictive modeling of nutritional quality in Urochloa pastures from multispectral sensors and images using machine learning approaches |
| title_short | Predictive modeling of nutritional quality in Urochloa pastures from multispectral sensors and images using machine learning approaches |
| title_sort | predictive modeling of nutritional quality in urochloa pastures from multispectral sensors and images using machine learning approaches |
| topic | plant nutrition machine learning productivity pastures nutritive value unmanned aerial vehicles models urochloa |
| url | https://hdl.handle.net/10568/132880 |
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