TH2.P9.5

Identifying Diseased Maize Leaves in Mopani District, Limpopo: A UAV Multispectral Imaging Approach Using Vegetation Indices and Machine Learning

Basani Lammy Nkuna, Wonga Masiza, Johannes George Chirima, Solomon W. Newete, Agricultural Research Council, South Africa; Adriaan Johannes Van Der Walt, University of the Free State, South Africa; Adolph Nyamugama, , Agricultural Research Council, South Africa

Session:
TH2.P9: UAV-based Multi-sensor Identification and Mapping of Surface and Buried Explosive Ordnance II Oral

Track:
Community-Contributed Sessions

Location:
Plaza: Room P9

Presentation Time:
Thursday, 7 August, 11:30 - 11:45

Session Co-Chairs:
Basani Lammy Nkuna, Agricultural Research Council and Emmett J. Ientilucci, Rochester Institute of Technology
Presentation
Not logged in.
Discussion
Not logged in.
Resources
No resources available.
Resources
No resources available.