A novel NIR-image segmentation method for the precise estimation of above-ground biomass in rice crops.
Filed experiments were concluded to provide proof of concept. Accurate plot segmentation results enabled the extraction of several canopy features associated with biomass yield. The software for aerial biomass estimation is available for other users.
| Autor principal: | |
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| Formato: | Informe técnico |
| Lenguaje: | Inglés |
| Publicado: |
2020
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/122305 |
| _version_ | 1855535962852950016 |
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| author | CGIAR Research Program on Rice |
| author_browse | CGIAR Research Program on Rice |
| author_facet | CGIAR Research Program on Rice |
| author_sort | CGIAR Research Program on Rice |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Filed experiments were concluded to provide proof of concept. Accurate plot segmentation results enabled the extraction of several canopy features associated with biomass yield. The software for aerial biomass estimation is available for other users. |
| format | Informe técnico |
| id | CGSpace122305 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2020 |
| publishDateRange | 2020 |
| publishDateSort | 2020 |
| record_format | dspace |
| spelling | CGSpace1223052023-03-14T12:17:08Z A novel NIR-image segmentation method for the precise estimation of above-ground biomass in rice crops. CGIAR Research Program on Rice rice crops development rural development biomass estimation systems canopy agrifood systems experiments extraction software Filed experiments were concluded to provide proof of concept. Accurate plot segmentation results enabled the extraction of several canopy features associated with biomass yield. The software for aerial biomass estimation is available for other users. 2020-12-31 2022-10-06T13:56:03Z 2022-10-06T13:56:03Z Report https://hdl.handle.net/10568/122305 en Open Access application/pdf CGIAR Research Program on Rice. 2020. A novel NIR-image segmentation method for the precise estimation of above-ground biomass in rice crops. Reported in Rice Annual Report 2020. Innovations. |
| spellingShingle | rice crops development rural development biomass estimation systems canopy agrifood systems experiments extraction software CGIAR Research Program on Rice A novel NIR-image segmentation method for the precise estimation of above-ground biomass in rice crops. |
| title | A novel NIR-image segmentation method for the precise estimation of above-ground biomass in rice crops. |
| title_full | A novel NIR-image segmentation method for the precise estimation of above-ground biomass in rice crops. |
| title_fullStr | A novel NIR-image segmentation method for the precise estimation of above-ground biomass in rice crops. |
| title_full_unstemmed | A novel NIR-image segmentation method for the precise estimation of above-ground biomass in rice crops. |
| title_short | A novel NIR-image segmentation method for the precise estimation of above-ground biomass in rice crops. |
| title_sort | novel nir image segmentation method for the precise estimation of above ground biomass in rice crops |
| topic | rice crops development rural development biomass estimation systems canopy agrifood systems experiments extraction software |
| url | https://hdl.handle.net/10568/122305 |
| work_keys_str_mv | AT cgiarresearchprogramonrice anovelnirimagesegmentationmethodforthepreciseestimationofabovegroundbiomassinricecrops AT cgiarresearchprogramonrice novelnirimagesegmentationmethodforthepreciseestimationofabovegroundbiomassinricecrops |