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