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A review of estimation methods for aboveground biomass in grasslands using UAV
Grasslands are one of the world's largest ecosystems, accounting for 30% of total terrestrial
biomass. Considering that aboveground biomass (AGB) is one of the most essential …
biomass. Considering that aboveground biomass (AGB) is one of the most essential …
Reference measurements in develo** UAV systems for detecting pests, weeds, and diseases
The development of UAV (unmanned aerial vehicle) imaging technologies for precision
farming applications is rapid, and new studies are published frequently. In cases where …
farming applications is rapid, and new studies are published frequently. In cases where …
Bundle adjustment with motion constraints for uncalibrated multi-camera systems at the ground level
Multi-camera systems for structure from motion (SfM) are widely deployed in many map**
applications. Existing solutions assume known rig calibration, synchronized frames among …
applications. Existing solutions assume known rig calibration, synchronized frames among …
[HTML][HTML] Biomass estimation of pasture plots with multitemporal UAV-based photogrammetric surveys
Pastures account for more than 56% of the total agricultural area of Ecuador and constitute
the main food source for livestock. Hence, the agile, affordable, and reliable quantification of …
the main food source for livestock. Hence, the agile, affordable, and reliable quantification of …
[HTML][HTML] Estimation of the Carrying Capacity and Relative Stocking Density of Mongolian grasslands under various adaptation scenarios
Mongolia's vast grasslands, crucial for both environmental and economic stability, are
currently facing challenges due to overgrazing, climate change, and land-use changes …
currently facing challenges due to overgrazing, climate change, and land-use changes …
[HTML][HTML] Spatial water table level modelling with multi-sensor unmanned aerial vehicle data in boreal aapa mires
Peatlands have been degrading globally, which is increasing pressure on restoration
measures and monitoring. New monitoring methods are needed because traditional …
measures and monitoring. New monitoring methods are needed because traditional …
[HTML][HTML] Herbage mass, N concentration, and N uptake of temperate grasslands can adequately be estimated from UAV-based image data using machine learning
Precise and timely information on biomass yield and nitrogen uptake in intensively managed
grasslands are essential for sustainable management decisions. Imaging sensors mounted …
grasslands are essential for sustainable management decisions. Imaging sensors mounted …
High-precision estimation of grass quality and quantity using UAS-based VNIR and SWIR hyperspectral cameras and machine learning
Miniaturised hyperspectral cameras are becoming more easily accessible and smaller,
enabling efficient monitoring of agricultural crops using unoccupied aerial systems (UAS) …
enabling efficient monitoring of agricultural crops using unoccupied aerial systems (UAS) …
Investigating the potential of a newly developed uav-mounted vnir/swir imaging system for monitoring crop traits—a case study for winter wheat
UAV-based multispectral multi-camera systems are widely used in scientific research for non-
destructive crop traits estimation to optimize agricultural management decisions. These …
destructive crop traits estimation to optimize agricultural management decisions. These …
[HTML][HTML] Quantification of grassland biomass and nitrogen content through UAV hyperspectral imagery—active sample selection for model transfer
Accurate retrieval of grassland traits is important to support management of pasture
production and phenoty** studies. In general, conventional methods used to measure …
production and phenoty** studies. In general, conventional methods used to measure …