Shamba Showdown: Ukama Ustawi- Progress Report #6b

cg.authorship.typesCGIAR and developing country instituteen
cg.contributor.affiliationInternational Center for Tropical Agricultureen
cg.contributor.affiliationUsiku Gamesen
cg.contributor.donorCGIAR Trust Funden
cg.contributor.initiativeClimate Resilience
cg.coverage.countryKenya
cg.coverage.iso3166-alpha2KE
cg.coverage.regionAfrica
cg.coverage.regionEastern Africa
cg.coverage.regionSub-Saharan Africa
cg.creator.identifierEvan Girvetz: 0000-0002-1062-9764
cg.creator.identifierAniruddha Ghosh: 0000-0003-3667-8019
cg.subject.actionAreaResilient Agrifood Systems
cg.subject.alliancebiovciatCLIMATE CHANGEen
cg.subject.alliancebiovciatCLIMATE CHANGE ADAPTATIONen
cg.subject.alliancebiovciatCLIMATE CHANGE MITIGATIONen
cg.subject.impactAreaClimate adaptation and mitigation
cg.subject.sdgSDG 2 - Zero hungeren
cg.subject.sdgSDG 13 - Climate actionen
cg.subject.sdgSDG 17 - Partnerships for the goalsen
dc.contributor.authorShapiro, Jayen
dc.contributor.authorOdera, Denisen
dc.contributor.authorKigo, Sammen
dc.contributor.authorMuhoro, Nathanen
dc.contributor.authorGirvetz, Evanen
dc.contributor.authorGhosh, Aniruddhaen
dc.date.accessioned2024-11-11T13:03:53Zen
dc.date.available2024-11-11T13:03:53Zen
dc.identifier.urihttps://hdl.handle.net/10568/159510
dc.titleShamba Showdown: Ukama Ustawi- Progress Report #6ben
dcterms.abstractThe fact that Kenya has a youthful population, with a median age of just 19 is well known. Lesser known is that smallshare farmers in the country (who produce 88% of the food in the country) have a median age of 60 and an average life expectancy of just 65 yrs. Shamba Showdown has focussed on the labour shortage this will create from the younger generation not returning to the farm. However, there is a second vector that is potentially even more devastating: The Knowledge Gap. As the older generation dies off, they take with them all of the institutional knowledge, wisdomand experience that typically has an intergenerational transfer from their parents to them, and then from them to their children. Due to the unique youth demographic bulge in Africa, this generation will lose much of that knowledge transfer. Leveraging the latest AI Technology of Retrieval Augmented Generation (RAG’s) we can train virtual elders to be experts in specific fields such as conservation agriculture, beekeeping, sustainable fishing, cooking, etc. These AI experts are then embodied in a relatable elder wise grandparent avatar. Mzee.ai will be a standalone Android App that youth can consult whenever they have a specific question that they would normally ask a parent or community elder. In this way we are taking a unique African approach to blend the age-old concepts of Ubuntu and “it takes a village” with contemporary AI tools to create a “virtual village” preserving knowledge while improving practices.en
dcterms.accessRightsOpen Access
dcterms.bibliographicCitationShapiro, J.; Odera, D.; Kigo, S.; Muhoro, N.; Girvetz, E.; Ghosh, A. (2024) Shamba Showdown: Ukama Ustawi- Progress Report #6b. 7 p.en
dcterms.extent7 p.en
dcterms.issued2024-07-31
dcterms.languageen
dcterms.licenseCC-BY-NC-4.0
dcterms.subjectagricultureen
dcterms.subjectartificial intelligenceen
dcterms.subjectinnovationen
dcterms.subjectyouthen
dcterms.subjecttechnologyen
dcterms.typeReport

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