Kenya (national scale), in-season crop modeling for monitoring food security shocks
| cg.contributor.crp | Big Data | |
| cg.coverage.country | Kenya | |
| cg.coverage.iso3166-alpha2 | KE | |
| cg.coverage.region | Eastern Africa | |
| cg.number | IN-1766 | en |
| dc.contributor.author | CGIAR Platform for Big Data in Agriculture | en |
| dc.date.accessioned | 2022-10-06T14:15:17Z | en |
| dc.date.available | 2022-10-06T14:15:17Z | en |
| dc.identifier.uri | https://hdl.handle.net/10568/122968 | |
| dc.title | Kenya (national scale), in-season crop modeling for monitoring food security shocks | en |
| dcterms.abstract | Proof of concept: the partners demonstrated a capability to detect crop onset in-season using remote sensing and validated this with on-the-ground partners. | en |
| dcterms.accessRights | Open Access | |
| dcterms.bibliographicCitation | CGIAR Platform for Big Data in Agriculture. 2020. Kenya (national scale), in-season crop modeling for monitoring food security shocks. Reported in Platform for Big Data in Agriculture Annual Report 2020. Innovations. | en |
| dcterms.isPartOf | CRP Innovation | en |
| dcterms.issued | 2020-12-31 | |
| dcterms.language | en | |
| dcterms.license | Other | |
| dcterms.subject | food security | en |
| dcterms.subject | monitoring | en |
| dcterms.subject | remote sensing | en |
| dcterms.subject | development | en |
| dcterms.subject | rural development | en |
| dcterms.subject | systems | en |
| dcterms.subject | agrifood systems | en |
| dcterms.subject | food | en |
| dcterms.subject | scale | en |
| dcterms.type | Report |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- ProjectInnovationSummary-BigData-P1550-I1766.pdf
- Size:
- 79.25 KB
- Format:
- Adobe Portable Document Format
- Description:
- Report