| dc.contributor.author | CGIAR Platform for Big Data in Agriculture | en_US |
| dc.date.accessioned | 2022-09-12T12:00:03Z | en_US |
| dc.date.available | 2022-09-12T12:00:03Z | en_US |
| dc.identifier.uri | https://hdl.handle.net/10568/121577 | en_US |
| dc.title | Picture-based crop monitoring is adopted by six institutions to improve their agricultural insurance and financing services | en_US |
| dcterms.abstract | Picture-Based Insurance provides affordable high-quality crop insurance by using smartphone images of smallholders’ crops for settlement of claims. The research led to adoption of picture-based crop monitoring by private companies HDFC ERGO General Insurance (India), Dvara E-Registry (India), and ACRE Africa (Kenya); government of India, and development organizaions including the R4 Rural Resilience Initiative (Ethiopia) and the Centre for Agriculture and Bioscience International (CABI) (India, Kenya), creating opportunities to strengthen crop insurance, financing and agro-advisories for millions of farmers. | en_US |
| dcterms.accessRights | Open Access | en_US |
| dcterms.bibliographicCitation | CGIAR Platform for Big Data in Agriculture. 2020. Picture-based crop monitoring is adopted by six institutions to improve their agricultural insurance and financing services. Reported in Platform for Big Data in Agriculture Annual Report 2020. Outcome Impact Case Report. | en_US |
| dcterms.isPartOf | CRP Outcome Impact Case Report | en_US |
| dcterms.issued | 2020-12-31 | en_US |
| dcterms.language | en | en_US |
| dcterms.license | Other | en_US |
| dcterms.subject | agriculture | en_US |
| dcterms.subject | research | en_US |
| dcterms.subject | farmers | en_US |
| dcterms.subject | crops | en_US |
| dcterms.subject | smallholders | en_US |
| dcterms.subject | monitoring | en_US |
| dcterms.subject | resilience | en_US |
| dcterms.subject | institutions | en_US |
| dcterms.subject | development | en_US |
| dcterms.subject | financing | en_US |
| dcterms.subject | quality | en_US |
| dcterms.subject | insurance | en_US |
| dcterms.subject | services | en_US |
| dcterms.subject | adoption | en_US |
| dcterms.subject | africa | en_US |
| dcterms.subject | government | en_US |
| dcterms.subject | crop insurance | en_US |
| dcterms.subject | companies | en_US |
| dcterms.subject | agricultural insurance | en_US |
| dcterms.subject | crop monitoring | en_US |
| dcterms.subject | initiative | en_US |
| dcterms.subject | case studies | en_US |
| dcterms.subject | agrifood systems | en_US |
| dcterms.subject | rural development | en_US |
| dcterms.type | Case Study | en_US |
| cg.contributor.affiliation | CGIAR Platform for Big Data in Agriculture | en_US |
| cg.coverage.region | Eastern Africa | en_US |
| cg.coverage.region | Southern Asia | en_US |
| cg.coverage.country | Ethiopia | en_US |
| cg.coverage.country | India | en_US |
| cg.coverage.country | Kenya | en_US |
| cg.contributor.crp | Big Data | en_US |
| cg.coverage.iso3166-alpha2 | ET | en_US |
| cg.coverage.iso3166-alpha2 | IN | en_US |
| cg.coverage.iso3166-alpha2 | KE | en_US |
| cg.number | OI-3912 | en_US |
