Abstract Three-dimensional (3D) image mapping of real-world scenarios has a great
potential to provide the user with a more accurate scene understanding. This will enable …

Corn yields vary spatially and temporally in the plots as a result of weather, altitude, variety,
plant density, available water, nutrients, and planting date; these are the main factors that …

The applications of digital agriculture technologies are increasing rapidly with increased
interest from the new generation of farmers to use digital solutions. Such technologies …

Analysis of the spectral response of vegetation using optical sensors for non-destructive
remote monitoring represents a key element for crop monitoring. Considering the wide …

Data across scales are required to monitor ecosystem responses to rapid warming in the
Arctic and to interpret tundra greening trends. Here, we tested the correspondence among …

The development of UAVs and multispectral cameras has led to remote sensing applications
with unprecedented spatial resolution. However, uncertainty remains on the radiometric …

Arctic landscapes are changing rapidly in response to warming, but future predictions are
hindered by difficulties in scaling ecological relationships from plots to biomes. Unmanned …

Unmanned aerial systems (UAS) carrying commercially sold multispectral sensors equipped
with a sunshine sensor, such as Parrot Sequoia, enable mapping of vegetation at high …

Quantitative trait prediction using multispectral UAV imagery is gaining popularity in field
trials. However, the reliability of models is influenced by the type of camera and its …

Farmers of the twentieth century are adopting the use of leading technical facilities in the
field of agriculture to sustain the competitiveness of the global market economy. With the …