Repository logo
 

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

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Buthelezi_Siphiwokuhle_2021.pdf
Size:
6.88 MB
Format:
Adobe Portable Document Format
Description:

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.64 KB
Format:
Item-specific license agreed upon to submission
Description: