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

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Title Use of machine learning approaches for quantification of red spider mite (Acari: Tetranychidae) damage in Urochloa sp.
 
Creator Espitia-Buitrago, Paula
Cotes-Torres, José M.
Mating'i Kimani, Adrian
Chidawanyika, Frank
Hernández, Luis M.
Cardoso, Juan
Jauregui, Rosa
 
Subject machine learning
Tetranychidae
plant pests
pest resistance
Urochloa
genotypes
 
Date 2023-10-23
2023-11-07T15:24:42Z
2023-11-07T15:24:42Z
 
Type Poster
 
Identifier 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.
https://hdl.handle.net/10568/132802
 
Language en
 
Relation African Plant Breeders Association 2023 Conference
 
Rights CC-BY-4.0
Open Access
 
Format 1 p.
application/pdf
 
Publisher International Center for Tropical Agriculture