Color patterns play central roles in the behavior of insects, and are important traits for
taxonomic studies. Here we report striking and stable structural color patterns—wing …

We present a visually based method for the taxonomic identification of benthic invertebrates
that automates image capture, image processing, and specimen classification. The BugID …

Computer‐automated identification of insect species has long been sought to support
activities such as environmental monitoring, forensics, pest diagnostics, border security and …

Manually collecting, identifying, archiving and retrieving specimen images is an expensive
and time-consuming work for entomologists. There is a clear need to introduce fast systems …

Growing interest in conservation and biodiversity increased the demand for accurate and
consistent identification of biological objects, such as insects, at the level of individual or …

Background The explosively radiating evolution of cichlid fishes of Lake Malawi has yielded
an amazing number of haplochromine species estimated as many as 500 to 800 with a …

We previously developed a shape recognition methodology that uses “branch length
similarity”(BLS) entropy, which is defined as a simple branching network consisting of a …

Wing venation, two-dimensional and with easily recognized reference points at vein
junctions, presents an opportunity for the development of automated insect identification …

Aphids are one of the major pests which harm crops worldwide. Among them, in potatoes,
they not only give damages to the plants by sucking but also mediates viruses. For …

Este estudio aborda la clasificación de especies de mariposas mediante la implementación
de Redes Neuronales Artificiales y el procesamiento de imágenes. Se procesan imágenes …