| dc.contributor | Denton, Sarah | en_US |
| dc.contributor | Becker, Laura | en_US |
| dc.creator | Rünzel, Max | en_US |
| dc.date.accessioned | 2021-05-28T15:15:54Z | |
| dc.date.available | 2021-05-28T15:15:54Z | |
| dc.identifier | https://mel.cgiar.org/reporting/download/hash/2235266d236ca68f06b74d7853635473 | en_US |
| dc.identifier.citation | Max Rünzel, Sarah Denton, Laura Becker. (1/4/2021). AI-Driven Climate Smart Beekeeping for Women (AID-CSB) Project Brief in Russian. United States of America: HiveTracks. | en_US |
| dc.identifier.uri | https://hdl.handle.net/20.500.11766/13139 | |
| dc.description.abstract | AI-Driven, Climate-Smart Beekeeping (AID-CSB) works with women beekeepers in Uzbekistan and Ethiopia to improve bee health and productivity. AID-CSB is made possible through a beekeeping app that is adopted to the local context through an inclusive, gender-responsive, user-centric process with beekeepers and stakeholders. | en_US |
| dc.format | PDF | en_US |
| dc.language | ru | en_US |
| dc.publisher | HiveTracks | en_US |
| dc.rights | CC-BY-SA-4.0 | en_US |
| dc.title | AI-Driven Climate Smart Beekeeping for Women (AID-CSB) Project Brief in Russian | en_US |
| dc.type | Brief | en_US |
| dcterms.available | 2021-04-01 | en_US |
| dcterms.issued | 2021-04-01 | en_US |
| cg.creator.id | Becker, Laura: 0000-0002-9651-5839 | en_US |
| cg.subject.agrovoc | women | en_US |
| cg.subject.agrovoc | climate data | en_US |
| cg.subject.agrovoc | ai (artificial intelligence) | en_US |
| cg.subject.agrovoc | beekeeping | en_US |
| cg.subject.agrovoc | information and communication technologies | en_US |
| cg.subject.agrovoc | hive management | en_US |
| cg.contributor.center | International Center for Agricultural Research in the Dry Areas - ICARDA | en_US |
| cg.contributor.center | HiveTracks | en_US |
| cg.contributor.funder | German Federal Foreign Office | en_US |
| cg.contributor.project | AI-Driven Climate-Smart Beekeeping for Women (AID-CSB) | en_US |
| cg.contributor.project-lead-institute | International Center for Agricultural Research in the Dry Areas - ICARDA | en_US |
| cg.coverage.region | Eastern Africa | en_US |
| cg.coverage.region | Central Asia | en_US |
| cg.coverage.country | ET | en_US |
| cg.coverage.country | UZ | en_US |
| cg.contact | max@hivetracks.com | en_US |
| dc.identifier.status | Open access | en_US |
| mel.project.open | https://mel.cgiar.org/projects/ai-driven-climate-smart-beekeeping-for-women-aid-csb | en_US |
