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dc.creatorAlamu, Emmanuelen_US
dc.date2021-01-07en_US
dc.date.accessioned2021-12-21T17:03:18Z
dc.date.available2021-12-21T17:03:18Z
dc.identifierhttps://mel.cgiar.org/reporting/download/hash/ed9856985801b535f2d29b3b72ae7375en_US
dc.identifier.citationEmmanuel Alamu. (7/1/2021). Report on the validation of NIRS calibration models developed for the determination of proximate components of flours from fresh cassava roots. Ibadan, Nigeria: International Institute of Tropical Agriculture (IITA).en_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/66630
dc.description.abstractGood predictions coefficients for both hash and protein contents of cassava flour which implies models can be effectively used for the ash and protein analysis of cassava flour.en_US
dc.formatPDFen_US
dc.languageenen_US
dc.publisherInternational Institute of Tropical Agriculture (IITA)en_US
dc.rightsCC-BY-4.0en_US
dc.subjectnirsen_US
dc.subjectcassava flouren_US
dc.subjectcalibration modelen_US
dc.titleReport on the validation of NIRS calibration models developed for the determination of proximate components of flours from fresh cassava rootsen_US
dc.typeInternal Reporten_US
cg.creator.idAlamu, Emmanuel: 0000-0001-6263-1359en_US
cg.creator.ID-typeORCIDen_US
cg.subject.agrovoccassavaen_US
cg.subject.agrovoccomponentsen_US
cg.contributor.centerInternational Institute of Tropical Agriculture - IITAen_US
cg.contributor.centerThe French Agricultural Research Center for International Development - CIRADen_US
cg.contributor.crpCGIAR Research Program on Roots, Tubers and Bananas - RTBen_US
cg.contributor.funderBill & Melinda Gates Foundation - BMGFen_US
cg.coverage.regionGlobalen_US
cg.contactdejialamu2001@yahoo.co.uken_US
dc.identifier.statusOpen accessen_US


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