Forages ROIs: Automated forage grass detection in aerial imagery
Forages ROIs is a computer vision tool for detecting and classifying forage grasses (Urochloa and Megathyrsus species) in high-resolution UAV imagery. Available as a QGIS plugin and desktop application, it reduces manual annotation time for high-throughput phenotyping applications facilitating crop...
| Main Authors: | , , , |
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| Format: | Software |
| Language: | Inglés |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/176858 |
| _version_ | 1855515079618854912 |
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| author | Ruiz-Hurtado, Andres Felipe Camelo-Munevar, Rodrigo Andres Jauregui, Rosa Noemi Cardoso Arango, Juan Andres |
| author_browse | Camelo-Munevar, Rodrigo Andres Cardoso Arango, Juan Andres Jauregui, Rosa Noemi Ruiz-Hurtado, Andres Felipe |
| author_facet | Ruiz-Hurtado, Andres Felipe Camelo-Munevar, Rodrigo Andres Jauregui, Rosa Noemi Cardoso Arango, Juan Andres |
| author_sort | Ruiz-Hurtado, Andres Felipe |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Forages ROIs is a computer vision tool for detecting and classifying forage grasses (Urochloa and Megathyrsus species) in high-resolution UAV imagery. Available as a QGIS plugin and desktop application, it reduces manual annotation time for high-throughput phenotyping applications facilitating crop grid generation. |
| format | Software |
| id | CGSpace176858 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| record_format | dspace |
| spelling | CGSpace1768582025-10-07T07:31:40Z Forages ROIs: Automated forage grass detection in aerial imagery Ruiz-Hurtado, Andres Felipe Camelo-Munevar, Rodrigo Andres Jauregui, Rosa Noemi Cardoso Arango, Juan Andres machine learning unmanned aerial vehicles imagery feed crops Forages ROIs is a computer vision tool for detecting and classifying forage grasses (Urochloa and Megathyrsus species) in high-resolution UAV imagery. Available as a QGIS plugin and desktop application, it reduces manual annotation time for high-throughput phenotyping applications facilitating crop grid generation. 2025-05 2025-10-07T07:31:39Z 2025-10-07T07:31:39Z Software https://hdl.handle.net/10568/176858 en Open Access Ruiz-Hurtado, A.F.; Camelo-Munevar, R.A.; Jauregui, R.N.; Cardoso Arango, J.A. (2025) Forages ROIs: Automated forage grass detection in aerial imagery. [Software] URL: https://github.com/afruizh/forages_rois |
| spellingShingle | machine learning unmanned aerial vehicles imagery feed crops Ruiz-Hurtado, Andres Felipe Camelo-Munevar, Rodrigo Andres Jauregui, Rosa Noemi Cardoso Arango, Juan Andres Forages ROIs: Automated forage grass detection in aerial imagery |
| title | Forages ROIs: Automated forage grass detection in aerial imagery |
| title_full | Forages ROIs: Automated forage grass detection in aerial imagery |
| title_fullStr | Forages ROIs: Automated forage grass detection in aerial imagery |
| title_full_unstemmed | Forages ROIs: Automated forage grass detection in aerial imagery |
| title_short | Forages ROIs: Automated forage grass detection in aerial imagery |
| title_sort | forages rois automated forage grass detection in aerial imagery |
| topic | machine learning unmanned aerial vehicles imagery feed crops |
| url | https://hdl.handle.net/10568/176858 |
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