A Comparative Estimation of Maize Leaf Water Content Using Machine Learning Techniques and Unmanned Aerial Vehicle (UAV)-Based Proximal and Remotely Sensed Data

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...

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Bibliographic Details
Main Authors: Helen S. Ndlovu, John Odindi, Mbulisi Sibanda, Onisimo Mutanga, Alistair Clulow, Vimbayi G. P. Chimonyo, Tafadzwanashe Mabhaudhi
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Remote Sensing
Subjects:
precision agriculture
maize monitoring
UAV applications
smallholder farming
machine learning
Online Access:https://www.mdpi.com/2072-4292/13/20/4091

Internet

https://www.mdpi.com/2072-4292/13/20/4091

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