Insect Wing Classification of Mosquitoes and Bees Using CO1 Image Recognition

نویسندگان

  • Nayna Vyas-Patel
  • Sai Ravela
  • Agenor Mafra-Neto
  • John D Mumford
چکیده

The certainty that a species is accurately identified is the cornerstone of appearance based classification; however the methods used in classical taxonomy have yet to fully catch up with the digital age. Recognising this, the CO1 algorithm presented on the StripeSpotter platform was used to identify different species and sexes of mosquito wings (Diptera: Culicidae) and honey bee and bumblebee wings (Hymenoptera: Apidae). Images of different species of mosquito and bee wings were uploaded onto the CO1 database and test wing images were analysed to determine . CC-BY-NC-ND 4.0 International license not peer-reviewed) is the author/funder. It is made available under a The copyright holder for this preprint (which was . http://dx.doi.org/10.1101/034819 doi: bioRxiv preprint first posted online Dec. 18, 2015;

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تاریخ انتشار 2015