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Artificial neural network trained to identify mosquitoes in flight

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  1. Cooper, J. W. (1981).Introduction to Pascal for Scientists, Wiley, New York.

    Google Scholar 

  2. Farmery, M. J. (1982). The effect of air temperature on wingbeat frequency of naturally flying armyworm moth (Spodoptera exempta).Entomol. Exp. Appl. 32: 193–194.

    Google Scholar 

  3. Greenbank, D. O., Schaefer, G. W., and Rainey, R. C. (1980). Spruce budworm (Lepidoptera: Tortricidae) moth flight and dispersal: new understanding from canopy observations, radar, and aircraft.Mem. Entomol. Soc. Can. 110.

  4. Moore, A., Miller, J. R., Tabashnik, B. E., and Gage, S. H. (1986). Automated identification of flying insects by analysis of wingbeat frequencies.J. Econ. Entomol. 79: 1703–1706.

    Google Scholar 

  5. Reed, S. C., Williams, C. M., and Chadwick, L. E. (1942). Frequency of wing-beat as a character for separating species races and geographic varieties ofDrosophila.Genetics 27: 349–361.

    Google Scholar 

  6. Riley, J. R., Reynolds, D. R., and Farmery, M. J. (1983). Observations of the flight behavior of the armyworm moth,Spodoptera exempta, at an emergence site using radar and infra-red optical techniques.Ecol. Entomol. 8: 395–418.

    Google Scholar 

  7. Rose, D. J. W., Page, W. W., Dewhurst, C. F., Riley, J. R., Reynolds, D. R., Pedgley, D. E., and Tucker, M. R. (1985). Downwind migration of the African armyworm moth,Spodoptera exempta, studied by mark-and-capture and by radar.Ecol. Entomol. 10: 299–313.

    Google Scholar 

  8. Sawedal, L., and Hall, R. (1979). Flight tone as a taxonomic character in Chironomidae (Diptera).Entomol. Scand. Suppl. 10: 139–143.

    Google Scholar 

  9. Schaefer, G. W., and Bent, G. A. (1984). An infra-red remote sensing system for the active detection and automatic determination of insect flight trajectories (IRADIT).Bull. Entomol. Res. 74: 261–278.

    Google Scholar 

  10. Sotavalta, O. (1947). The flight-tone (wing-stroke frequency) of insects (Contributions to the problem of insect flight 1.).Acta Entomol. Fenn. 4: 1–114.

    Google Scholar 

  11. Stanley, J. (1989).Introduction to Neural Networks, California Scientific Software, Sierra Madre.

    Google Scholar 

  12. Unwin, D. M., and Corbet, S. A. (1984). Wingbeat frequency, temperature, and body size in bees and flies.Physiol. Entomol. 9: 115–121.

    Google Scholar 

  13. Unwin, D. M., and Ellington, C. P. (1979). An optical tachometer for measurement of the wingbeat frequency of free-flying insects.J. Exp. Biol. 82: 377–378.

    Google Scholar 

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Moore, A. Artificial neural network trained to identify mosquitoes in flight. J Insect Behav 4, 391–396 (1991).

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Key words

  • wingbeat frequency
  • insect flight monitor
  • artificial neural network
  • Culicidae
  • Aedes aegypti
  • Aedes triseriatus