AI-powered tool for spidermite damage assessment in tropical grasses
This tool is an AI-powered tool designed for assessing spidermite damage in tropical grasses. This software uses advanced image processing and machine learning models to perform damage classification for field images and plant segmentation using a salient object detection approach. Further refinemen...
| Main Authors: | , , , , , |
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| Format: | Software |
| Language: | Inglés |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/168237 |
| _version_ | 1855531845140086784 |
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| author | Ruiz-Hurtado, Andres Felipe Espitia Buitrago, Paula Andrea Kimani, Adrian Matingl Chidawanyika, Frank Cardoso Arango, Juan Andres Jauregui, Rosa Noemi |
| author_browse | Cardoso Arango, Juan Andres Chidawanyika, Frank Espitia Buitrago, Paula Andrea Jauregui, Rosa Noemi Kimani, Adrian Matingl Ruiz-Hurtado, Andres Felipe |
| author_facet | Ruiz-Hurtado, Andres Felipe Espitia Buitrago, Paula Andrea Kimani, Adrian Matingl Chidawanyika, Frank Cardoso Arango, Juan Andres Jauregui, Rosa Noemi |
| author_sort | Ruiz-Hurtado, Andres Felipe |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | This tool is an AI-powered tool designed for assessing spidermite damage in tropical grasses. This software uses advanced image processing and machine learning models to perform damage classification for field images and plant segmentation using a salient object detection approach. Further refinement of models and fine-tuning is being actively researched. A deployed Gradio web application version is available on Hugging Face for online use, and users can also run the tool locally. |
| format | Software |
| id | CGSpace168237 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| record_format | dspace |
| spelling | CGSpace1682372025-01-24T08:54:39Z AI-powered tool for spidermite damage assessment in tropical grasses Ruiz-Hurtado, Andres Felipe Espitia Buitrago, Paula Andrea Kimani, Adrian Matingl Chidawanyika, Frank Cardoso Arango, Juan Andres Jauregui, Rosa Noemi artificial intelligence phenotyping fenotipado inteligencia artificial insect diseases image processing procesamiento digital de imágenes tolerance to pests tolerancia a enfermedades This tool is an AI-powered tool designed for assessing spidermite damage in tropical grasses. This software uses advanced image processing and machine learning models to perform damage classification for field images and plant segmentation using a salient object detection approach. Further refinement of models and fine-tuning is being actively researched. A deployed Gradio web application version is available on Hugging Face for online use, and users can also run the tool locally. 2024 2024-12-21T12:46:59Z 2024-12-21T12:46:59Z Software https://hdl.handle.net/10568/168237 en Open Access Ruiz-Hurtado, A.F.; Espitia Buitrago, P.A.; Kimani, A.M.; Chidawanyika, F.; Cardoso Arango, J.A.; Jauregui, R.N. (2024) AI-powered tool for spidermite damage assessment in tropical grasses. |
| spellingShingle | artificial intelligence phenotyping fenotipado inteligencia artificial insect diseases image processing procesamiento digital de imágenes tolerance to pests tolerancia a enfermedades Ruiz-Hurtado, Andres Felipe Espitia Buitrago, Paula Andrea Kimani, Adrian Matingl Chidawanyika, Frank Cardoso Arango, Juan Andres Jauregui, Rosa Noemi AI-powered tool for spidermite damage assessment in tropical grasses |
| title | AI-powered tool for spidermite damage assessment in tropical grasses |
| title_full | AI-powered tool for spidermite damage assessment in tropical grasses |
| title_fullStr | AI-powered tool for spidermite damage assessment in tropical grasses |
| title_full_unstemmed | AI-powered tool for spidermite damage assessment in tropical grasses |
| title_short | AI-powered tool for spidermite damage assessment in tropical grasses |
| title_sort | ai powered tool for spidermite damage assessment in tropical grasses |
| topic | artificial intelligence phenotyping fenotipado inteligencia artificial insect diseases image processing procesamiento digital de imágenes tolerance to pests tolerancia a enfermedades |
| url | https://hdl.handle.net/10568/168237 |
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