| dc.contributor.author | CGIAR Platform for Big Data in Agriculture | en_US |
| dc.date.accessioned | 2022-10-06T14:16:14Z | en_US |
| dc.date.available | 2022-10-06T14:16:14Z | en_US |
| dc.identifier.uri | https://hdl.handle.net/10568/122990 | en_US |
| dc.title | Inspire Challenge Award: Seeing is believing – Using smartphone camera data | en_US |
| dcterms.abstract | This project integrates machine-learning analysis of cellphone camera images of crops into the functioning of an insurance and farm advisory service. Early results from a RCT demonstrated advisory messages, which reached 32,237 wheat producers, increased knowledge on best agricultural practices by 78 percent. | en_US |
| dcterms.accessRights | Open Access | en_US |
| dcterms.bibliographicCitation | CGIAR Platform for Big Data in Agriculture. 2018. Inspire Challenge Award: Seeing is believing – Using smartphone camera data. Reported in Platform for Big Data in Agriculture 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 | crops | en_US |
| dcterms.subject | development | en_US |
| dcterms.subject | rural development | en_US |
| dcterms.subject | data | en_US |
| dcterms.subject | wheat | en_US |
| dcterms.subject | analysis | en_US |
| dcterms.subject | insurance | en_US |
| dcterms.subject | learning | en_US |
| dcterms.subject | agricultural practices | en_US |
| dcterms.subject | systems | en_US |
| dcterms.subject | knowledge | en_US |
| dcterms.subject | agrifood systems | en_US |
| dcterms.type | Report | en_US |
| cg.coverage.region | Southern Asia | en_US |
| cg.coverage.country | India | en_US |
| cg.contributor.crp | Big Data | en_US |
| cg.coverage.iso3166-alpha2 | IN | en_US |
| cg.number | IN-704 | en_US |
