In recent years, technological advances have led to the increasing use of unmanned aerial
vehicles (UAVs) for forestry applications. One emerging field for drone application is forest …

Environmental monitoring plays a central role in diagnosing climate and management
impacts on natural and agricultural systems; enhancing the understanding of hydrological …

Early prediction of grain yield helps scientists to make better breeding decisions for wheat.
Use of machine learning (ML) methods for fusion of unmanned aerial vehicle (UAV)-based …

Disease diagnosis is one of the major tasks for increasing food production in agriculture.
Although precision agriculture (PA) takes less time and provides a more precise application …

With the rapid development of genetic analysis techniques and crop population size,
phenotyping has become the bottleneck restricting crop breeding. Breaking through this …

High-throughput phenotyping has been widely studied in plant science to monitor plant
growth and analyze the influence of genotypes and environment on plant growth. To meet …

Low-altitude remote sensing (RS) using unmanned aerial vehicles (UAVs) is a powerful tool
in precision agriculture (PA). In that context, thermal RS has many potential uses. The …

Unmanned aerial vehicles (UAVs) are becoming a valuable tool to collect data in a variety of
contexts. Their use in agriculture is particularly suitable, as those areas are often vast …

Plant phenomics is a new avenue for linking plant genomics and environmental studies,
thereby improving plant breeding and management. Remote sensing techniques have …

The ratio of plant carbon gain to water use, known as water use efficiency (WUE), has long
been recognized as a key constraint on crop production and an important target for crop …