Park managers call for cost-effective and innovative solutions to handle a wide variety of
environmental problems that threaten biodiversity in protected areas. Recently, drones have …

Accurate detection of individual animals is integral to the management of vulnerable wildlife
species, but often difficult and costly to achieve for species that occur over wide or …

Plastic debris has become an abundant pollutant in marine, coastal and riverine
environments, posing a large threat to aquatic life. Effective measures to mitigate and …

In conservation, the use of unmanned aerial vehicles (drones) carrying various sensors and
the use of deep learning are increasing, but they are typically used independently of each …

Effective wildlife management relies on the accurate and precise detection of individual
animals. These can be challenging data to collect for many cryptic species, particularly those …

Unmanned aerial systems (UAS) are emerging as an accessible and versatile tool for
ecologists, promising to revolutionize the way abundance and distribution data are obtained …

We address the task of automatically detecting and counting seabirds in unmanned aerial
vehicle (UAV) imagery using deep convolutional neural networks (CNNs). Our study area …

Waterbirds are important indicators of wetland health, and understanding their status and
trends is necessary for appropriate management and conservation. However, certain …

Shrub encroachment, characterized by the proliferation of shrubs into grasslands, is a
challenge faced by grasslands worldwide that significantly impacts livestock production and …

As with other species of great apes, chimpanzee numbers have declined over the past
decades. Proper conservation of the remaining chimpanzees requires accurate and frequent …