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Modelling spatial variability of coffee (Coffea Arabica L.) crop condition with multispectral remote sensing data.

dc.contributor.advisorMutanga, Onisimo.
dc.contributor.advisorDube, Timothy.
dc.contributor.advisorOdindi, John Odhiambo.
dc.contributor.authorChemura, Abel.
dc.date.accessioned2019-04-16T13:17:58Z
dc.date.available2019-04-16T13:17:58Z
dc.date.created2017
dc.date.issued2017
dc.descriptionDoctor of Philosophy in Environmental Science. University of KwaZulu-Natal, Pietermaritzburg, 2017.en_US
dc.description.abstractAbstract available in PDF file.en_US
dc.identifier.urihttps://researchspace.ukzn.ac.za/xmlui/handle/10413/16233
dc.subjectTheses - Environmental Science.en_US
dc.subject.otherCondition assessment.en_US
dc.subject.otherCoffee.en_US
dc.subject.otherMultispectral data.en_US
dc.subject.otherLandscape.en_US
dc.titleModelling spatial variability of coffee (Coffea Arabica L.) crop condition with multispectral remote sensing data.en_US
dc.typeThesisen_US

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