Use of machine learning approaches for quantification of red spider mite (Acari: Tetranychidae) damage in Urochloa sp.
| Main Authors: | , , , , , , |
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| Format: | Poster |
| Language: | Inglés |
| Published: |
International Center for Tropical Agriculture
2023
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/132802 |
| _version_ | 1855526994932924416 |
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| author | Espitia-Buitrago, Paula Cotes-Torres, José M. Mating'i Kimani, Adrian Chidawanyika, Frank Hernández, Luis Miguel Cardoso Arango, Juan Andrés Jauregui, Rosa |
| author_browse | Cardoso Arango, Juan Andrés Chidawanyika, Frank Cotes-Torres, José M. Espitia-Buitrago, Paula Hernández, Luis Miguel Jauregui, Rosa Mating'i Kimani, Adrian |
| author_facet | Espitia-Buitrago, Paula Cotes-Torres, José M. Mating'i Kimani, Adrian Chidawanyika, Frank Hernández, Luis Miguel Cardoso Arango, Juan Andrés Jauregui, Rosa |
| author_sort | Espitia-Buitrago, Paula |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| format | Poster |
| id | CGSpace132802 |
| 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 | CGSpace1328022025-11-05T11:48:48Z Use of machine learning approaches for quantification of red spider mite (Acari: Tetranychidae) damage in Urochloa sp. Espitia-Buitrago, Paula Cotes-Torres, José M. Mating'i Kimani, Adrian Chidawanyika, Frank Hernández, Luis Miguel Cardoso Arango, Juan Andrés Jauregui, Rosa machine learning tetranychidae plant pests pest resistance urochloa genotypes 2023-10-23 2023-11-07T15:24:42Z 2023-11-07T15:24:42Z Poster https://hdl.handle.net/10568/132802 en Open Access application/pdf International Center for Tropical Agriculture Espitia-Buitrago P.; Cotes-Torres J.M.; Mating'i A.; Chidawanyika F.; Hernández L.M.; Cardoso J.; Jauregui R. (2023) Use of machine learning approaches for quantification of red spider mite (Acari: Tetranychidae) damage in Urochloa sp. 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 | machine learning tetranychidae plant pests pest resistance urochloa genotypes Espitia-Buitrago, Paula Cotes-Torres, José M. Mating'i Kimani, Adrian Chidawanyika, Frank Hernández, Luis Miguel Cardoso Arango, Juan Andrés Jauregui, Rosa Use of machine learning approaches for quantification of red spider mite (Acari: Tetranychidae) damage in Urochloa sp. |
| title | Use of machine learning approaches for quantification of red spider mite (Acari: Tetranychidae) damage in Urochloa sp. |
| title_full | Use of machine learning approaches for quantification of red spider mite (Acari: Tetranychidae) damage in Urochloa sp. |
| title_fullStr | Use of machine learning approaches for quantification of red spider mite (Acari: Tetranychidae) damage in Urochloa sp. |
| title_full_unstemmed | Use of machine learning approaches for quantification of red spider mite (Acari: Tetranychidae) damage in Urochloa sp. |
| title_short | Use of machine learning approaches for quantification of red spider mite (Acari: Tetranychidae) damage in Urochloa sp. |
| title_sort | use of machine learning approaches for quantification of red spider mite acari tetranychidae damage in urochloa sp |
| topic | machine learning tetranychidae plant pests pest resistance urochloa genotypes |
| url | https://hdl.handle.net/10568/132802 |
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