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Prospects of improving agricultural and water productivity through unmanned aerial vehicles
(MDPI, 2020)
Unmanned Aerial Vehicles (UAVs) are an alternative to costly and time-consuming traditional methods to improve agricultural water management and crop productivity through the acquisition, processing, and analyses of ...
Application of drone technologies in surface water resources monitoring and assessment: A systematic review of progress, challenges, and opportunities in the global south
(MPDI, 2021)
Accurate and timely information on surface water quality and quantity is critical for
various applications, including irrigation agriculture. In-field water quality and quantity data
from unmanned aerial vehicle systems ...
A comparative estimation of maize leaf water content using machine learning techniques and unmanned aerial vehicle (uav)-based proximal and remotely sensed data
(MPDI, 2021)
: 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 ...
Estimating and monitoring land surface phenology in rangelands: A review of progress and challenges
(MPDI, 2021)
Land surface phenology (LSP) has been extensively explored from global archives of
satellite observations to track and monitor the seasonality of rangeland ecosystems in response
to climate change. Long term monitoring ...
Estimation of maize foliar temperature and stomatal conductance as indicators of water stress based on optical and thermal imagery acquired using an unmanned aerial vehicle (uav) platform
(MDPI, 2022)
Climatic variability and extreme weather events impact agricultural production, especially
in sub-Saharan smallholder cropping systems, which are commonly rainfed. Hence, the development
of early warning systems regarding ...
Mapping the spatial distribution of underutilised crop species under climate change using the MaxEnt model: A case of KwaZulu-Natal, South Africa
(Elsevier, 2022)
Knowing the spatial and temporal suitability of neglected and underutilised crop species (NUS) is important for
fitting them into marginal production areas and cropping systems under climate change. The current study ...
Crop monitoring in smallholder farms using unmanned aerial vehicles to facilitate precision agriculture practices: A scoping review and bibliometric analysis
(MDPI, 2023)
In this study, we conducted a scoping review and bibliometric analysis to evaluate the
state-of-the-art regarding actual applications of unmanned aerial vehicle (UAV) technologies to guide
precision agriculture (PA) ...
Assessing the prospects of remote sensing maize leaf area index using uav-derived multi-spectral data in smallholder farms across the growing season
(MDPI, 2023)
Maize (Zea Mays) is one of the most valuable food crops in sub-Saharan Africa and is a
critical component of local, national and regional economies. Whereas over 50% of maize production
in the region is produced by ...