Farm.ink Learning study on impact of digital services (bot/web) on farming practices
| cg.contributor.crp | Big Data | en_US |
| cg.coverage.country | Kenya | en_US |
| cg.coverage.iso3166-alpha2 | KE | en_US |
| cg.coverage.region | Eastern Africa | en_US |
| cg.number | OICS2300 | en_US |
| dc.contributor.author | CGIAR Platform for Big Data in Agriculture | en_US |
| dc.date.accessioned | 2022-10-06T20:13:37Z | en_US |
| dc.date.available | 2022-10-06T20:13:37Z | en_US |
| dc.identifier.uri | https://hdl.handle.net/10568/123760 | en_US |
| dc.title | Farm.ink Learning study on impact of digital services (bot/web) on farming practices | en_US |
| dcterms.abstract | First look at Kenya as case study for 2019, as this is where the majority of our user base sit currently | en_US |
| dcterms.accessRights | Open Access | en_US |
| dcterms.bibliographicCitation | CGIAR Platform for Big Data in Agriculture. 2019. Farm.ink Learning study on impact of digital services (bot/web) on farming practices. Reported in Platform for Big Data in Agriculture Annual Report 2019. MELIA. | en_US |
| dcterms.isPartOf | CRP MELIA study | en_US |
| dcterms.issued | 2019-12-31 | en_US |
| dcterms.language | en | en_US |
| dcterms.license | Other | en_US |
| dcterms.subject | monitoring and evaluation | en_US |
| dcterms.subject | agrifood systems | en_US |
| dcterms.subject | rural development | en_US |
| dcterms.subject | learning | en_US |
| dcterms.subject | services | en_US |
| dcterms.subject | farming | en_US |
| dcterms.subject | digital | en_US |
| dcterms.type | Case Study | en_US |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- OutcomesCaseStudySummary-BigData-P1625-OICS2300.pdf
- Size:
- 68.41 KB
- Format:
- Adobe Portable Document Format
- Description:
- Case Study