• DocumentCode
    1492141
  • Title

    The toad that ate Australia

  • Author

    Price, Dick

  • Volume
    11
  • Issue
    6
  • fYear
    1996
  • fDate
    12/1/1996 12:00:00 AM
  • Firstpage
    13
  • Lastpage
    15
  • Abstract
    In 1935, to combat an infestation of sugar cane beetles, well intentioned growers along Australia´s North Queensland coast introduced a variety of Central American toad (Bufo marinus) to their canefields. The reality, however, has been different. The beetles, unfortunately, live high in the cane stalks, beyond the reach of the ground dwelling toad, which promptly set off on a 60-year march across Australia. Today, both beetle and toad are doing nicely; a one billion strong cane toad army now holds sway over 500,000 square kilometers north, west, and south of the original North Queensland beachhead. To check that advance, Australia´s government is considering releasing a biological agent-a species-specific virus-that will selectively kill the invader. Firstly, however, the possible impacts of these toads must analysed in detail-the method used involves machine learning. By monitoring the population fluctuations of frog species living at the vanguard of the cane toad advance, the speed of the encroachment can be measured, as well as the damage the cane toad causes. The undertaking involves training a computer software program to automatically identify the calls that various species of frog make, monitoring the types and numbers of frogs found at several locations over successive wet seasons when the frogs are active, and marking any population declines as the wave of cane toads passes through
  • Keywords
    acoustic signal processing; biology computing; ecology; learning (artificial intelligence); pattern recognition; zoology; Australia; Australian government; Bufo marinus; Central American toad; North Queensland coast; biological agent; computer software program; frog species; machine learning; population declines; population fluctuations; species specific virus; sugar cane beetles; wet seasons; Australia; Background noise; Control systems; Education; Humans; Learning systems; Monitoring; Rain; System testing; Vegetation;
  • fLanguage
    English
  • Journal_Title
    IEEE Expert
  • Publisher
    ieee
  • ISSN
    0885-9000
  • Type

    jour

  • DOI
    10.1109/64.546576
  • Filename
    546576