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Assessing the utility of unmanned aerial vehicle remotely sensed data for estimating maize leaf area index (LAI) and yield across the growing season.

dc.contributor.advisorMutanga, Onisimo.
dc.contributor.advisorSibanda, Mbulisi.
dc.contributor.authorButhelezi, Siphiwokuhle.
dc.date.accessioned2022-06-28T09:53:46Z
dc.date.available2022-06-28T09:53:46Z
dc.date.created2021
dc.date.issued2021
dc.descriptionMasters Degree. University of KwaZulu-Natal, Pietermaritzburg.en_US
dc.description.abstractAbstract available in PDF.en_US
dc.identifier.urihttps://researchspace.ukzn.ac.za/handle/10413/20561
dc.language.isoenen_US
dc.subject.otherSmallholder farmers.en_US
dc.subject.otherSmallholder farms.en_US
dc.subject.otherRandom forest.en_US
dc.subject.otherSpatio-temporal remote sensing.en_US
dc.titleAssessing the utility of unmanned aerial vehicle remotely sensed data for estimating maize leaf area index (LAI) and yield across the growing season.en_US
dc.typeThesisen_US

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