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Adoption of Unmanned Aerial Vehicle (UAV) imagery in agricultural management: A systematic literature review
Precision agriculture and Smart farming have become the essential backbone for
sustainable agricultural production by leveraging cutting edge remote sensing and …
sustainable agricultural production by leveraging cutting edge remote sensing and …
[HTML][HTML] UAS-based plant phenoty** for research and breeding applications
Unmanned aircraft system (UAS) is a particularly powerful tool for plant phenoty**, due to
reasonable cost of procurement and deployment, ease and flexibility for control and …
reasonable cost of procurement and deployment, ease and flexibility for control and …
[HTML][HTML] Estimating above-ground biomass of maize using features derived from UAV-based RGB imagery
The rapid, accurate, and economical estimation of crop above-ground biomass at the farm
scale is crucial for precision agricultural management. The unmanned aerial vehicle (UAV) …
scale is crucial for precision agricultural management. The unmanned aerial vehicle (UAV) …
Estimation of soybean grain yield from multispectral high-resolution UAV data with machine learning models in West Africa
Abstract Soybean (Glycine max (L.) Merr.) is a leguminous and oil crop with rapidly growing
importance and demand in Africa following the increasing demand for oil and livestock and …
importance and demand in Africa following the increasing demand for oil and livestock and …
[HTML][HTML] UAV remote sensing phenoty** of wheat collection for response to water stress and yield prediction using machine learning
Water stress is a significant challenge for global food production. Rainfall pattern is
becoming unpredictable due to climate change that causes unprecedent water stress …
becoming unpredictable due to climate change that causes unprecedent water stress …
Estimation of leaf nitrogen content in rice using vegetation indices and feature variable optimization with information fusion of multiple-sensor images from UAV
LNC (leaf nitrogen content) in crops is significant for diagnosing the crop growth status and
guiding fertilization decisions. Currently, UAV (unmanned aerial vehicles) remote sensing …
guiding fertilization decisions. Currently, UAV (unmanned aerial vehicles) remote sensing …
Uav swarms in smart agriculture: Experiences and opportunities
Smart agriculture benefits from unmanned aerial vehicles (UAV), and in-field sensors to
collect data used to make responsible crop management decisions which sustainably …
collect data used to make responsible crop management decisions which sustainably …
Genetic resources and breeding priorities in Phaseolus beans: Vulnerability, resilience, and future challenges
Genetic vulnerability refers to (sometimes catastrophic) actual or potential losses in the
production of a crop (in quantity and/or quality), attributable to spatial or temporal reduction …
production of a crop (in quantity and/or quality), attributable to spatial or temporal reduction …
[HTML][HTML] Monitoring sugarcane growth response to varying nitrogen application rates: A comparison of UAV SLAM LiDAR and photogrammetry
The capabilities and utility of UAV LiDAR and surface from motion photogrammetry have
been of wide discussion in the remote sensing community and assumptions made, often …
been of wide discussion in the remote sensing community and assumptions made, often …
[HTML][HTML] Estimation of maize yield and flowering time using multi-temporal UAV-based hyperspectral data
Maize (Zea mays L.) is one of the most consumed grains in the world. Within the context of
continuous climate change and the reduced availability of arable land, it is urgent to breed …
continuous climate change and the reduced availability of arable land, it is urgent to breed …