Age grading An. gambiae and An. arabiensis using near infrared spectra and artificial neural networks.

Journal: PloS one
PMID: 31412028

Abstract

BACKGROUND: Near infrared spectroscopy (NIRS) is currently complementing techniques to age-grade mosquitoes. NIRS classifies lab-reared and semi-field raised mosquitoes into < or ≥ 7 days old with an average accuracy of 80%, achieved by training a regression model using partial least squares (PLS) and interpreted as a binary classifier.

Authors

  • Masabho P Milali
    Ifakara Health Institute, Environmental Health and Ecological Sciences Thematic Group, Ifakara, Tanzania.
  • Maggy T Sikulu-Lord
    Queensland Alliance of Agriculture and Food Innovation, The University of Queensland, Brisbane, Queensland, Australia.
  • Samson S Kiware
    Ifakara Health Institute, Environmental Health and Ecological Sciences Thematic Group, Ifakara, Tanzania.
  • Floyd E Dowell
    USDA, Agricultural Research Service, Center for Grain and Animal Health Research, Manhattan, Kansas, United States of America.
  • George F Corliss
    Department of Electrical and Computer Engineering, Marquette University, Milwaukee, Wisconsin, United States of America.
  • Richard J Povinelli
    Electrical and Computer Engineering Department, Marquette University, Milwaukee, WI USA.

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