Rice biomass software for drone image analysis
| cg.contributor.crp | Rice | en_US |
| cg.number | IN-656 | en_US |
| dc.contributor.author | CGIAR Research Program on Rice | en_US |
| dc.date.accessioned | 2022-10-06T13:58:24Z | en_US |
| dc.date.available | 2022-10-06T13:58:24Z | en_US |
| dc.identifier.uri | https://hdl.handle.net/10568/122439 | en_US |
| dc.title | Rice biomass software for drone image analysis | en_US |
| dcterms.abstract | The drone operated by the CIAT Phenomics Platform can take an image of 10,000 breeding lines within minutes. Analyzing such image to identify plots with RHBV-susceptible crops is also quick, usually within a day. | en_US |
| dcterms.accessRights | Open Access | en_US |
| dcterms.bibliographicCitation | CGIAR Research Program on Rice. 2018. Rice biomass software for drone image analysis. Reported in Rice Annual Report 2018. Innovations. | en_US |
| dcterms.isPartOf | CRP Innovation | en_US |
| dcterms.issued | 2018-12-31 | en_US |
| dcterms.language | en | en_US |
| dcterms.license | Other | en_US |
| dcterms.subject | rice | en_US |
| dcterms.subject | crops | en_US |
| dcterms.subject | breeding | en_US |
| dcterms.subject | development | en_US |
| dcterms.subject | rural development | en_US |
| dcterms.subject | biomass | en_US |
| dcterms.subject | analysis | en_US |
| dcterms.subject | systems | en_US |
| dcterms.subject | agrifood systems | en_US |
| dcterms.subject | image analysis | en_US |
| dcterms.subject | software | en_US |
| dcterms.subject | breeding lines | en_US |
| dcterms.subject | plots | en_US |
| dcterms.type | Report | en_US |
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