Images of the natural world collected by a variety of cameras from drones to individual
phones are increasingly abundant sources of biological information. There is an explosion …

Insect production for food and feed presents a promising supplement to ensure food safety
and address the adverse impacts of agriculture on climate and environment in the future …

Insects represent half of all global biodiversity, yet many of the world's insects are
disappearing, with severe implications for ecosystems and agriculture. Despite this crisis …

Insect monitoring is essential to design effective conservation strategies, which are
indispensable to mitigate worldwide declines and biodiversity loss. For this purpose …

Arthropods, including insects, represent the most diverse group and contribute significantly
to animal biomass. Automatic monitoring of insects and other arthropods enables quick and …

Anomalies in species abundance data can potentially cause classification errors in
ecological forecasting models. Accurate estimation of anomalies locations can enhance the …

Insects are highly abundant and diverse, and play major roles in ecosystem functions.
Monitoring of insect populations is key to their sustainable management. However, the labor …

Numerous studies have proven the potential of deep learning models for classifying wildlife.
Such models can reduce the workload of experts by automating species classification to …

Insect production for food and feed presents a promising supplement to ensure food safety
and address the adverse impacts of agriculture on climate and environment in the future …

Insects provide essential ecosystem services, but are threatened by multiple anthropogenic
stressors. Observing insect populations and behaviour is crucial to gain a better …