Markov model for bamboo harvest forecasting in South Nyanza region, Kenya

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dc.contributor.authorArori, Wilfred
dc.contributor.authorKibwage, Jacob
dc.contributor.authorNetondo, Godfrey
dc.contributor.authorOnyango, Fredrick
dc.date.accessioned2014-12-22T18:19:22Z
dc.date.available2014-12-22T18:19:22Z
dc.date.copyright2013
dc.date.issued2013-08
dc.description.abstractThe Markov model applied to bamboo growth and harvest helps determine expected harvest, given survival probabilities at various stages of bamboo growth. The introduction of bamboo in South Nyanza region in Kenya as an alternative source of income met with pessimism due to the wait of at least three years before harvesting. To convince farmers to plant bamboo, they needed to know the expected quantity of harvest, its timing and consequently its associated income. Related findings show that bamboo is four times more profitable than tobacco and more than tenfold when processed into high quality bamboo products.en
dc.format.mimetypeapplication/pdf
dc.identifier.citationArori, W.O., Kibwage, J.K., Netondo, G.W., & Onyango, F. (2013). A Markov Model for Bamboo Harvest Forecasting in South Nyanza Region, Kenya. Advanced Journal of Agricultural Research, 1(004): 045-050.en
dc.identifier.urihttp://hdl.handle.net/10625/53481
dc.language.isoen
dc.publisherAdvanced Journalsen
dc.rights.urihttp://www.advancedjournals.org
dc.subjectBAMBOOen
dc.subjectMARKOV CHAINSen
dc.subjectAGROECOLOGYen
dc.subjectMATHEMATICAL MODELSen
dc.subjectFORECASTING TECHNIQUESen
dc.subjectKENYAen
dc.subjectSOUTH OF SAHARAen
dc.subjectTOBACCO CONTROLen
dc.subjectCROP DIVERSIFICATIONen
dc.titleMarkov model for bamboo harvest forecasting in South Nyanza region, Kenyaen
dc.typeJournal Article (peer-reviewed)en
idrc.copyright.holderAdvanced Journals
idrc.copyright.oapermissionsourceOpen Access publisheren
idrc.dspace.accessOpen Accessen
idrc.project.componentnumber105791001
idrc.project.number105791
idrc.project.titleBamboo Production : Livelihood Diversification for Smallholder Tobacco Farmers in South Nyanza, Kenya - Phase IIen
idrc.recordsserver.bcsnumberIC01-2962-11
idrc.rims.adhocgroupIDRC SUPPORTEDen

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