Insects are the most diverse group of animals on Earth, but their small size and high diversity
have always made them challenging to study. Recent technological advances have the …

Invertebrate biodiversity remains poorly understood although it comprises much of the
terrestrial animal biomass, most species and supplies many ecosystem services. The main …

Modern and precision agriculture is constantly evolving, and the use of technology has
become a critical factor in improving crop yields and protecting plants from harmful insects …

Deep learning algorithms and particularly convolutional neural networks are very successful
in pattern recognition from images and are increasingly employed in biology. The …

Complex bulk samples of insects from biodiversity surveys present a challenge for
taxonomic identification, which could be overcome by high‐throughput imaging combined …

Automated species identification and delimitation is challenging, particularly in rare and thus
often scarcely sampled species, which do not allow sufficient discrimination of infraspecific …

A key limiting factor in organising and using information from physical specimens curated in
natural science collections is making that information computable, with institutional …

Invertebrate biodiversity remains poorly explored although it comprises much of the
terrestrial animal biomass, more than 90% of the species-level diversity, supplies many …

The application of artificial intelligence (AI) in entomological research has gained significant
attention in recent years. This review summarizes the current state of research on the …

Identifying an organism requires taxonomic expertise, time, and often adult specimens of
that organism. Accurate identification of organisms is of great importance for sustainable …