DroneData: a repository for applying drone-based-data to crop characterization
This tool is available on GitHub. The users can calculate vegetation indexes, apply different trained ML models for crop-field or individual-plants detection. Likewise, when a 3D-cloud-points-file is provided, the user can estimate plant-height and leaf-angle. The tool is used by the Universidad-Ped...
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| Format: | Informe técnico |
| Language: | Inglés |
| Published: |
2021
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| Online Access: | https://hdl.handle.net/10568/123118 |
| _version_ | 1855514497725235200 |
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| author | CGIAR Research Program on Climate Change, Agriculture and Food Security |
| author_browse | CGIAR Research Program on Climate Change, Agriculture and Food Security |
| author_facet | CGIAR Research Program on Climate Change, Agriculture and Food Security |
| author_sort | CGIAR Research Program on Climate Change, Agriculture and Food Security |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | This tool is available on GitHub. The users can calculate vegetation indexes, apply different trained ML models for crop-field or individual-plants detection. Likewise, when a 3D-cloud-points-file is provided, the user can estimate plant-height and leaf-angle. The tool is used by the Universidad-Pedagógica-y-tecnológica and Tokyo-university, for crop area estimation and high-detailed-plant-phenotyping-characterization. |
| format | Informe técnico |
| id | CGSpace123118 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| record_format | dspace |
| spelling | CGSpace1231182023-03-14T11:41:35Z DroneData: a repository for applying drone-based-data to crop characterization CGIAR Research Program on Climate Change, Agriculture and Food Security models development rural development data plants vegetation estimation systems agrifood systems height detection plant This tool is available on GitHub. The users can calculate vegetation indexes, apply different trained ML models for crop-field or individual-plants detection. Likewise, when a 3D-cloud-points-file is provided, the user can estimate plant-height and leaf-angle. The tool is used by the Universidad-Pedagógica-y-tecnológica and Tokyo-university, for crop area estimation and high-detailed-plant-phenotyping-characterization. 2021-12-31 2022-10-06T14:22:02Z 2022-10-06T14:22:02Z Report https://hdl.handle.net/10568/123118 en Open Access application/pdf CGIAR Research Program on Climate Change, Agriculture and Food Security. 2021. DroneData: a repository for applying drone-based-data to crop characterization. Reported in Climate Change, Agriculture and Food Security Annual Report 2021. Innovations. |
| spellingShingle | models development rural development data plants vegetation estimation systems agrifood systems height detection plant CGIAR Research Program on Climate Change, Agriculture and Food Security DroneData: a repository for applying drone-based-data to crop characterization |
| title | DroneData: a repository for applying drone-based-data to crop characterization |
| title_full | DroneData: a repository for applying drone-based-data to crop characterization |
| title_fullStr | DroneData: a repository for applying drone-based-data to crop characterization |
| title_full_unstemmed | DroneData: a repository for applying drone-based-data to crop characterization |
| title_short | DroneData: a repository for applying drone-based-data to crop characterization |
| title_sort | dronedata a repository for applying drone based data to crop characterization |
| topic | models development rural development data plants vegetation estimation systems agrifood systems height detection plant |
| url | https://hdl.handle.net/10568/123118 |
| work_keys_str_mv | AT cgiarresearchprogramonclimatechangeagricultureandfoodsecurity dronedataarepositoryforapplyingdronebaseddatatocropcharacterization |