Search Results - "Ndlovu, Helen S."

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  1. 1

    A Comparative Estimation of Maize Leaf Water Content Using Machine Learning Techniques and Unmanned Aerial Vehicle (UAV)-Based Proximal and Remotely Sensed Data by Ndlovu, Helen S., Odindi, John, Sibanda, Mbulisi, Mutanga, Onisimo, Clulow, Alistair, Chimonyo, Vimbayi G. P., Mabhaudhi, Tafadzwanashe

    Published in Remote sensing (Basel, Switzerland) (01-10-2021)
    “…Determining maize water content variability is necessary for crop monitoring and in developing early warning systems to optimise agricultural production in…”
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    Journal Article
  2. 2

    Remote sensing hail damage on maize crops in smallholder farms using data acquired by remotely piloted aircraft system by Sibanda, Mbulisi, Ndlovu, Helen S, Brewer, Kiara, Buthelezi, Siphiwokuhle, Matongera, Trylee N, Mutanga, Onisimo, Odidndi, John, Clulow, Alistair D, Chimonyo, Vimbayi G P, Mabhaudhi, Tafadzwanashe

    Published in Smart agricultural technology (01-12-2023)
    “…Smallholder farmers reside in marginal environments typified by dryland maize-based farming systems. Despite the significant contribution of smallholder…”
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    Journal Article
  3. 3

    A systematic review on the application of UAV-based thermal remote sensing for assessing and monitoring crop water status in crop farming systems by Ndlovu, Helen S., Odindi, John, Sibanda, Mbulisi, Mutanga, Onisimo

    Published in International journal of remote sensing (02-08-2024)
    “…The accurate assessment and monitoring of crop water status is a critical component of precision agriculture. Over the recent decade, unmanned aerial vehicles…”
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    Journal Article
  4. 4

    Mapping the Eucalyptus spp woodlots in communal areas of Southern Africa using Sentinel-2 Multi-Spectral Imager data for hydrological applications by Sibanda, Mbulisi, Buthelezi, Siphiwokuhle, Ndlovu, Helen S., Mothapo, Mologadi C., Mutanga, Onisimo

    “…Invasive alien plant species (IAPs) drive anthropogenic global environmental change by threatening native species communities and ecosystems. For instance, the…”
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    Journal Article
  5. 5

    Detecting and mapping the spatial distribution of Chromoleana odorata invasions in communal areas of South Africa using Sentinel-2 multispectral remotely sensed data by Ndlovu, Helen S., Sibanda, Mbulisi, Odindi, John, Buthelezi, Siphiwokuhle, Mutanga, Onisimo

    “…Alien Invasive Plants (AIPs) have been proclaimed to be a significant non-climatic driver of global change. The Siam weed (Chromoleana odorata) is highly…”
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    Journal Article
  6. 6