Predictive modeling of nutritional quality in Urochloa pastures from multispectral sensors and images using machine learning approaches
| cg.authorship.types | CGIAR single centre | en |
| cg.contributor.affiliation | International Center for Tropical Agriculture | en |
| cg.contributor.donor | CGIAR Trust Fund | en |
| cg.contributor.initiative | Accelerated Breeding | |
| cg.creator.identifier | Rodrigo Camelo: 0000-0003-0563-6123 | |
| cg.creator.identifier | Luis M. Hernandez: 0000-0002-8816-0572 | |
| cg.creator.identifier | Juan Andrés Cardoso Arango: 0000-0002-0252-4655 | |
| cg.place | Cali, Colombia | en |
| cg.subject.actionArea | Genetic Innovation | |
| cg.subject.alliancebiovciat | CLIMATE CHANGE | en |
| cg.subject.alliancebiovciat | FARMING SYSTEMS | en |
| cg.subject.alliancebiovciat | FOOD SECURITY | en |
| cg.subject.alliancebiovciat | INFORMATICS | en |
| cg.subject.alliancebiovciat | INFORMATION SYSTEMS | en |
| cg.subject.alliancebiovciat | LIVESTOCK | en |
| cg.subject.alliancebiovciat | NUTRITION | en |
| cg.subject.alliancebiovciat | PLANT BREEDING | en |
| cg.subject.alliancebiovciat | PLANT GENETIC RESOURCES | en |
| cg.subject.alliancebiovciat | TROPICAL FORAGES | en |
| cg.subject.impactArea | Nutrition, health and food security | |
| cg.subject.sdg | SDG 2 - Zero hunger | en |
| cg.subject.sdg | SDG 3 - Good health and well-being | en |
| cg.subject.sdg | SDG 8 - Decent work and economic growth | en |
| cg.subject.sdg | SDG 12 - Responsible consumption and production | en |
| cg.subject.sdg | SDG 13 - Climate action | en |
| dc.contributor.author | Camelo-Munevar, Rodrigo Andrés | en |
| dc.contributor.author | Hernández, Luis Miguel | en |
| dc.contributor.author | Jauregui, Rosa | en |
| dc.contributor.author | Cardoso Arango, Juan Andrés | en |
| dc.date.accessioned | 2023-11-09T15:35:23Z | en |
| dc.date.available | 2023-11-09T15:35:23Z | en |
| dc.identifier.uri | https://hdl.handle.net/10568/132880 | |
| dc.title | Predictive modeling of nutritional quality in Urochloa pastures from multispectral sensors and images using machine learning approaches | en |
| dcterms.accessRights | Open Access | |
| dcterms.audience | Academics | en |
| dcterms.audience | General Public | en |
| dcterms.bibliographicCitation | 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. | en |
| dcterms.extent | 1 p. | en |
| dcterms.issued | 2023-10-23 | |
| dcterms.language | en | |
| dcterms.license | CC-BY-4.0 | |
| dcterms.publisher | International Center for Tropical Agriculture | en |
| dcterms.subject | plant nutrition | en |
| dcterms.subject | machine learning | en |
| dcterms.subject | productivity | en |
| dcterms.subject | pastures | en |
| dcterms.subject | nutritive value | en |
| dcterms.subject | unmanned aerial vehicles | en |
| dcterms.subject | models | en |
| dcterms.subject | urochloa | en |
| dcterms.type | Poster |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- Camelo et al. - Predictive modeling of nutricional quality.pdf
- Size:
- 473.66 KB
- Format:
- Adobe Portable Document Format
- Description:
- Poster
License bundle
1 - 1 of 1
Loading...
- Name:
- license.txt
- Size:
- 1.75 KB
- Format:
- Item-specific license agreed upon to submission
- Description: