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Tag: identification

NEON pitfall trap

What’s That Beetle? Ask the Algorithm

Can machine learning be used for accurate species identification of beetles and other invertebrates? Researchers using carabid beetle data from the National Ecological Observatory Network created an algorithm that reached 85 percent accuracy on unidentified images. Eventually, they hope machine learning could one day be used to classify unidentified species in NEON bycatch and answer new questions about invertebrate diversity and abundance across North America.

Bark Beetle Comparison

Bark Beetle Identification: There’s an App for That, Too

Researchers at the University of Florida and the USDA-ARS have created a mobile app for bark beetle identification, allowing users to either play a beetle ID game or browse through the bewildering diversity of morphologies in the world of bark beetles.

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