Automated detection of the yellow-legged hornet (Vespa velutina) using an optical sensor with machine learning.

ABSTRACT:

Background

The yellow-legged hornet (Vespa velutina) is native to Southeast Asia and is an invasive alien species of concern in many countries. More effective management of populations of V. velutina could be achieved through more widespread and intensive monitoring in the field, however current methods are labor intensive and costly. To address this issue, we have assessed the performance of an optical sensor combined with a machine learning model to classify V. velutina and native wasps/hornets and bees. Our aim is to use the results of the present work as a step towards the development of a monitoring solution for V. velutina in the field.

Results

We recorded a total 935 flights from three bee species: Apis mellifera, Bombus terrestris and Osmia bicornis; and four wasp/ho

SUBMITTER: Herrera C 

PROVIDER: S-EPMC10107170 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature