Insect damage assessment of tropical grasses under field conditions using a modular pipeline with image processing and deep learning techniques
| Autores principales: | , , , , , |
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| Formato: | Póster |
| Lenguaje: | Inglés |
| Publicado: |
2024
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/159652 |
| _version_ | 1855542216802435072 |
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| author | Ruiz-Hurtado, Andres Felipe Espitia Buitrago, Paula Kimani, Adrian Mating'l Chidawanyika, Frank Cardoso, Juan Jauregui, Rosa N |
| author_browse | Cardoso, Juan Chidawanyika, Frank Espitia Buitrago, Paula Jauregui, Rosa N Kimani, Adrian Mating'l Ruiz-Hurtado, Andres Felipe |
| author_facet | Ruiz-Hurtado, Andres Felipe Espitia Buitrago, Paula Kimani, Adrian Mating'l Chidawanyika, Frank Cardoso, Juan Jauregui, Rosa N |
| author_sort | Ruiz-Hurtado, Andres Felipe |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| format | Poster |
| id | CGSpace159652 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| record_format | dspace |
| spelling | CGSpace1596522025-11-05T12:44:41Z Insect damage assessment of tropical grasses under field conditions using a modular pipeline with image processing and deep learning techniques Ruiz-Hurtado, Andres Felipe Espitia Buitrago, Paula Kimani, Adrian Mating'l Chidawanyika, Frank Cardoso, Juan Jauregui, Rosa N productivity phenotyping fenotipado insect diseases productividad image processing procesamiento digital de imágenes tolerance to pests insecto tolerancia a enfermedades 2024-10-07 2024-11-13T12:05:39Z 2024-11-13T12:05:39Z Poster https://hdl.handle.net/10568/159652 en Open Access application/pdf Ruiz-Hurtado, A.F.; Espitia Buitrago, P.; Kimani, A.M.; Chidawanyika, F.; Cardoso, J.; Jauregui, R.N. (2024) Insect damage assessment of tropical grasses under field conditions using a modular pipeline with image processing and deep learning techniques. Poster Prepared for the 8th International Plant Phenotyping Symposium on 7-11 October 2024 in Nebraska (USA). 1 p. |
| spellingShingle | productivity phenotyping fenotipado insect diseases productividad image processing procesamiento digital de imágenes tolerance to pests insecto tolerancia a enfermedades Ruiz-Hurtado, Andres Felipe Espitia Buitrago, Paula Kimani, Adrian Mating'l Chidawanyika, Frank Cardoso, Juan Jauregui, Rosa N Insect damage assessment of tropical grasses under field conditions using a modular pipeline with image processing and deep learning techniques |
| title | Insect damage assessment of tropical grasses under field conditions using a modular pipeline with image processing and deep learning techniques |
| title_full | Insect damage assessment of tropical grasses under field conditions using a modular pipeline with image processing and deep learning techniques |
| title_fullStr | Insect damage assessment of tropical grasses under field conditions using a modular pipeline with image processing and deep learning techniques |
| title_full_unstemmed | Insect damage assessment of tropical grasses under field conditions using a modular pipeline with image processing and deep learning techniques |
| title_short | Insect damage assessment of tropical grasses under field conditions using a modular pipeline with image processing and deep learning techniques |
| title_sort | insect damage assessment of tropical grasses under field conditions using a modular pipeline with image processing and deep learning techniques |
| topic | productivity phenotyping fenotipado insect diseases productividad image processing procesamiento digital de imágenes tolerance to pests insecto tolerancia a enfermedades |
| url | https://hdl.handle.net/10568/159652 |
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