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 …

Plant diseases are one of the major threats to global food production. Efficient monitoring
and detection of plant pathogens are instrumental in restricting and effectively managing the …

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 …

Traditional imagery—provided, for example, by RGB and/or NIR sensors—has proven to be
useful in many agroforestry applications. However, it lacks the spectral range and precision …

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 …

Currently, climate change poses a global threat, which may compromise the sustainability of
agriculture, forestry and other land surface systems. In a changing world scenario, the …

Unmanned aerial vehicles (UAVs) or remotely piloted aircraft systems are new platforms that
have been increasingly used over the last decade in Europe to collect data for forest …

Early and accurate diagnosis is a critical first step in mitigating losses caused by plant
diseases. An incorrect diagnosis can lead to improper management decisions, such as …

Unmanned aerial vehicles (UAVs) are platforms that have been increasingly used over the
last decade to collect data for forest insect pest and disease (FIPD) monitoring. These …

Miniaturized thermal infrared (TIR) cameras that measure surface temperature are
increasingly available for use with unmanned aerial vehicles (UAVs). However, deriving …