High-speed camera system for efficient monitoring of invasive plant species along roadways.

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  • Additional Information
    • Source:
      Publisher: F1000 Research Ltd Country of Publication: England NLM ID: 101594320 Publication Model: eCollection Cited Medium: Internet ISSN: 2046-1402 (Electronic) Linking ISSN: 20461402 NLM ISO Abbreviation: F1000Res Subsets: MEDLINE
    • Publication Information:
      Original Publication: London : F1000 Research Ltd
    • Subject Terms:
      Introduced Species* ; Plants*; Environmental Monitoring/methods ; Environmental Monitoring/instrumentation ; Photography/instrumentation ; Photography/methods ; Ecosystem
    • Abstract:
      Invasive plant species pose ecological threats to native ecosystems, particularly in areas adjacent to roadways, considering that roadways represent lengthy corridors through which invasive species can propagate. Traditional manual survey methods for monitoring invasive plants are labor-intensive and limited in coverage. This paper introduces a high-speed camera system, named CamAlien, designed to be mounted on vehicles for efficient invasive plant species monitoring along roadways. The camera system captures high-quality images at rapid intervals, to monitor the full roadside when following traffic speed. The system utilizes a global shutter sensor to reduce distortion and geotagging for precise localistion. The camera system makes it possible to collect extensive data sets, which can be used for a digital library of the invasive species and their locations, but also subsequent training of machine learning algorithms for automated species recognition.
      Competing Interests: No competing interests were disclosed.
      (Copyright: © 2024 Dyrmann M et al.)
    • Contributed Indexing:
      Keywords: high-speed camera; invasive plant species; roadside monitoring
    • Publication Date:
      Date Created: 20240724 Date Completed: 20241007 Latest Revision: 20241007
    • Publication Date:
      20241007
    • Accession Number:
      PMC11263905
    • Accession Number:
      10.12688/f1000research.141992.2
    • Accession Number:
      39045173