Low Cost Machine Vision for Insect Classification

arXiv:2404.17488v1 Announce Type: cross
Abstract: Preserving the number and diversity of insects is one of our society's most important goals in the area of environmental sustainability. A prerequisite for this is a systematic and up-scaled monitoring in order to detect correlations and identify countermeasures. Therefore, automatized monitoring using live traps is important, but so far there is no system that provides image data of sufficient detailed information for entomological classification.
In this work, we present an imaging method as part …

abstract arxiv classification correlations cost cs.cv cs.lg diversity environmental environmental sustainability identify insects low machine machine vision monitoring society sustainability type vision