A5028136098- Land Use and Ecosystem Services
- Smart Agriculture and AI
- Remote Sensing in Agriculture
- Ecology and Vegetation Dynamics Studies
- Crop Yield and Soil Fertility
- Remote Sensing and LiDAR Applications
- Wildlife Ecology and Conservation
- Rangeland and Wildlife Management
University of Pretoria
2022-2024
Agricultural Research Council of South Africa
2023-2024
Institute for Soil, Climate and Water
2023
Wheat is an important staple crop in the global food chain. The production of wheat many regions constrained by lack use advanced technologies for monitoring. Unmanned Aerial Vehicles (UAVs) platform remote sensing providing near real-time farm-scale information. This information aids making recommendations monitoring and improving management to ensure security. study appraised scientific research trends on UAV studies between 2005 2021, using a bibliometric method. 398 published documents...
Optimizing the prediction of maize (Zea mays L.) yields in smallholder farming systems enhances crop management and thus contributes to reducing hunger achieving one Sustainable Development Goals (SDG 2—zero hunger). This research investigated capability unmanned aerial vehicle (UAV)-derived data machine learning algorithms estimate yield evaluate its spatiotemporal variability through phenological cycle Bronkhorstspruit, South Africa, where UAV collection took over four dates...
Weed invasion of crop fields, such as maize, is a major threat leading to yield reductions or right-offs for smallholder farming, especially in developing countries. A synoptic view and timeous detection weed invasions can save the crop. The sustainable development goals (SDGs) have identified food security focus point. objectives this study are to: (1) assess precision mapping maize-weed infestations using multi-temporal, unmanned aerial vehicle (UAV), PlanetScope data by utilizing machine...
Invasive alien plants (IAPs) are responsible for loss in biodiversity and the depletion of water resources natural ecosystems. Prosopis species IAPs previously introduced by farmers to provide shade fodder livestock. In Northern Cape, spp. invasions associated with native resulting overgrazing degrading rangelands. Mapping glandulosa is essential management initiatives assist government minimising spread impact IAPs. This study aims evaluate performance two machine learning algorithms i.e.,...
Mapping smallholder maize farms in complex and uneven rural terrain is a major barrier to accurately documenting the spatial representation of farming units. Remote sensing technologies rely on various satellite products for differentiating cropland cover from other land types. The potential multi-temporal Sentinel-1 synthetic aperture radar (SAR), Sentinel-2, digital elevation model (DEM) precipitation data obtained Climate Hazards Group InfraRed Precipitation with Station (CHIRPS) version...