Drivers of maize yield variability at household level in northern Ghana and Malawi

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cg.authorship.typesCGIAR single centreen_US
cg.contributor.affiliationInternational Institute of Tropical Agricultureen_US
cg.contributor.crpMaizeen_US
cg.contributor.donorUnited States Agency for International Developmenten_US
cg.contributor.donorBill & Melinda Gates Foundationen_US
cg.contributor.donorCGIAR Trust Funden_US
cg.contributor.initiativeExcellence in Agronomyen_US
cg.coverage.countryGhanaen_US
cg.coverage.countryMalawien_US
cg.coverage.iso3166-alpha2GHen_US
cg.coverage.iso3166-alpha2MWen_US
cg.coverage.regionAfricaen_US
cg.coverage.regionSouthern Africaen_US
cg.coverage.regionWestern Africaen_US
cg.coverage.regionEastern Africaen_US
cg.howPublishedFormally Publisheden_US
cg.identifier.doihttps://doi.org/10.1080/10106049.2023.2230948en_US
cg.identifier.iitathemeBIOMETRICSen_US
cg.isijournalISI Journalen_US
cg.issn1010-6049en_US
cg.issue1en_US
cg.journalGeocarto Internationalen_US
cg.reviewStatusPeer Reviewen_US
cg.subject.iitaAGRONOMYen_US
cg.subject.iitaBIOMETRICSen_US
cg.subject.iitaFOOD SECURITYen_US
cg.subject.iitaMAIZEen_US
cg.subject.iitaPLANT BREEDINGen_US
cg.subject.iitaPLANT PRODUCTIONen_US
cg.subject.iitaSOIL FERTILITYen_US
cg.subject.impactAreaNutrition, health and food securityen_US
cg.subject.sdgSDG 1 - No povertyen_US
cg.subject.sdgSDG 2 - Zero hungeren_US
cg.volume38en_US
dc.contributor.authorGachoki, S.en_US
dc.contributor.authorMuthoni, F.K.en_US
dc.date.accessioned2023-07-31T10:07:49Zen_US
dc.date.available2023-07-31T10:07:49Zen_US
dc.identifier.urihttps://hdl.handle.net/10568/131335en_US
dc.titleDrivers of maize yield variability at household level in northern Ghana and Malawien_US
dcterms.abstractMaize is a staple food, but productivity has stagnated due to limited access to advanced farming methods and knowledge. To promote sustainable agriculture, understanding the factors affecting maize yield at the farm level is crucial. This study used panel data on maize yield and agronomic practices in Northern Ghana and Malawi from 2014 to 2020. Satellite-based environmental variables were extracted at household locations, and Random Forest modeling was used to identify factors influencing maize yield variability. The models performance was sub-par with low R2 values (∼0.1 and ∼0.24 for Northern Ghana and Malawi). Fertilizer and precipitation were the most important factors explaining maize yield variability. Spatial maps showed that Malawi’s maize yield can increase with more fertilizer, but rainfall is essential. In Northern Ghana, relying solely on fertilizer may not be enough to boost maize production.en_US
dcterms.accessRightsOpen Accessen_US
dcterms.audienceScientistsen_US
dcterms.available2023-07-03en_US
dcterms.bibliographicCitationGachoki, S. & Muthoni, F.K. (2023). Drivers of maize yield variability at household level in Northern Ghana and Malawi. Geocarto International, 38(1), 1-16.en_US
dcterms.descriptionOpen Access Journal; Published online: 03 Jul 2023en_US
dcterms.extent1-35en_US
dcterms.issued2023-06-27en_US
dcterms.languageenen_US
dcterms.licenseCC-BY-4.0en_US
dcterms.publisherInforma UK Limiteden_US
dcterms.subjectmaizeen_US
dcterms.subjectdataen_US
dcterms.subjectmachine learningen_US
dcterms.subjectsustainable agricultureen_US
dcterms.subjectyieldsen_US
dcterms.subjectforecastingen_US
dcterms.typeJournal Articleen_US

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