Use of machine learning approaches for quantification of red spider mite (Acari: Tetranychidae) damage in Urochloa sp.

Detalles Bibliográficos
Autores principales: Espitia-Buitrago, Paula, Cotes-Torres, José M., Mating'i Kimani, Adrian, Chidawanyika, Frank, Hernández, Luis Miguel, Cardoso Arango, Juan Andrés, Jauregui, Rosa
Formato: Póster
Lenguaje:Inglés
Publicado: International Center for Tropical Agriculture 2023
Materias:
Acceso en línea:https://hdl.handle.net/10568/132802
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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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