JOURNAL ARTICLE

Introducing BugBox: A Platform for AI-Assisted Bioinventories of Arthropods.

  • Published In: American Entomologist, 2024, v. 70, n. 3. P. 31 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Welch, Kelton D; Lundgren, Jonathan G 3 of 3

Abstract

The article focuses on BugBox, an AI-powered research platform developed by the nonprofit Ecdysis Foundation to address the "taxonomic bottleneck" in arthropod biodiversity research. BugBox leverages the Mark F. Longfellow Ecological Reference Collection—a digitized archive of over 13,000 arthropod specimens—to train its AI for rapid classification of morphotaxa from large-scale agricultural biodiversity studies, such as the 1000 Farms Initiative. While BugBox’s accuracy has improved significantly and its biodiversity indices correlate strongly with those generated by human taxonomists, it functions as a tool to augment rather than replace expert taxonomists by automating routine identifications and enabling researchers to focus on higher-level scientific analysis. The platform is currently in private use but is planned for public release to support broader entomological research, with ongoing efforts to enhance its capabilities through community collaboration.

Additional Information

  • Source:American Entomologist. 2024/09, Vol. 70, Issue 3, p31
  • Document Type:Article
  • Subject Area:Agriculture and Agribusiness
  • Publication Date:2024
  • ISSN:1046-2821
  • DOI:10.1093/ae/tmae047
  • Accession Number:179513008

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