A Comparative Estimation of Maize Leaf Water Content Using Machine Learning Techniques and Unmanned Aerial Vehicle (UAV)-Based Proximal and Remotely Sensed Data
Determining maize water content variability is necessary for crop monitoring and in developing early warning systems to optimise agricultural production in smallholder farms. However, spatially explicit information on maize water content, particularly in Southern Africa, remains elementary due to th...
Main Authors: | Helen S. Ndlovu, John Odindi, Mbulisi Sibanda, Onisimo Mutanga, Alistair Clulow, Vimbayi G. P. Chimonyo, Tafadzwanashe Mabhaudhi |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-10-01
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Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/13/20/4091 |
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