Show simple item record

dc.contributorDenton, Sarahen_US
dc.contributorBecker, Lauraen_US
dc.creatorRünzel, Maxen_US
dc.date.accessioned2021-05-28T15:15:54Z
dc.date.available2021-05-28T15:15:54Z
dc.identifierhttps://mel.cgiar.org/reporting/downloadmelspace/hash/2235266d236ca68f06b74d7853635473/v/be515c7256f2e223668402730bfa02e0en_US
dc.identifier.citationMax 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.urihttps://hdl.handle.net/20.500.11766/13139
dc.description.abstractAI-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.formatPDFen_US
dc.languageruen_US
dc.publisherHiveTracksen_US
dc.rightsCC-BY-SA-4.0en_US
dc.titleAI-Driven Climate Smart Beekeeping for Women (AID-CSB) Project Brief in Russianen_US
dc.typeBriefen_US
dcterms.available2021-04-01en_US
dcterms.issued2021-04-01en_US
cg.creator.idBecker, Laura: 0000-0002-9651-5839en_US
cg.subject.agrovocwomenen_US
cg.subject.agrovocclimate dataen_US
cg.subject.agrovocai (artificial intelligence)en_US
cg.subject.agrovocbeekeepingen_US
cg.subject.agrovocinformation and communication technologiesen_US
cg.subject.agrovochive managementen_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.centerHiveTracksen_US
cg.contributor.funderGerman Federal Foreign Officeen_US
cg.contributor.projectAI-Driven Climate-Smart Beekeeping for Women (AID-CSB)en_US
cg.contributor.project-lead-instituteInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.coverage.regionEastern Africaen_US
cg.coverage.regionCentral Asiaen_US
cg.coverage.countryETen_US
cg.coverage.countryUZen_US
cg.contactmax@hivetracks.comen_US
dc.identifier.statusOpen accessen_US
mel.project.openhttps://mel.cgiar.org/projects/ai-driven-climate-smart-beekeeping-for-women-aid-csben_US


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record


DSpace software copyright © 2002-2016  DuraSpace
Disclaimer:
MELSpace content providers and partners accept no liability to any consequence resulting from use of the content or data made available in this repository. Users of this content assume full responsibility for compliance with all relevant national or international regulations and legislation.
Theme by 
Atmire NV