title: Rapid identification of female Culexmosquito species using Expert System in the South East Asian region.
abstract: Rapid identification of mosquito (vector) species is critical for vector control and disease management. Pictorial keys of mosquito species are currently used for the identification of new mosquito species. However, this approach is not very effective. Here, we describe the use of an ID3 algorithm (part of artificial intelligence) for the rapid identification of the South East Asian female Culex mosquito species.
  
  
  BACKGROUND
  http://www.envisiict.org/
authors.affiliation: Bioinformatics Group, Biology Division, Indian Institute of Chemical Technology (CSIR), Hyderabad, Andhra Pradesh, India. murty_usn@yahoo.com
authors.forename: Upadhyayula Suryanarayana
authors.initials: US
authors.lastname: Murty
authors.forename: Duvvuri Venkata Rama Satya
authors.initials: DV
authors.lastname: Kumar
authors.forename: Mutheneni Srinivasa
authors.initials: MS
authors.lastname: Rao
authors.forename: Rachel
authors.initials: R
authors.lastname: Reuben
authors.forename: Satish Chandra
authors.initials: SC
authors.lastname: Tewari
authors.forename: J
authors.initials: J
authors.lastname: Hiriyan
authors.forename: J
authors.initials: J
authors.lastname: Akiyama
authors.forename: Deepa
authors.initials: D
authors.lastname: Akavaram