Rule-based system for the fast identification of species of Indian Anopheline mosquitoes

Comput Appl Biosci. 1996 Dec;12(6):491-5. doi: 10.1093/bioinformatics/12.6.491.

Abstract

In a developing country like India, classification and identification of the species of Anopheline mosquitoes in control operations of mosquito-borne diseases is of paramount importance. The WHO monograph, which describes the taxonomic data in the form of a pictorial key is generally difficult to understand by a non-taxonomist. Utilizing the principles of ID3 algorithm, a novel rule-based system, for the fast identification of unknown species of Indian Anopheline mosquitoes, is developed. The rule-based system is user-friendly, menu-driven and even a novice can make use of it in the identification of the unknown species with little practice. The above software is available on floppy disk and can be obtained with a minimum cost. This program can be ported on 5 1/4" or 3 1/2" floppy disk.

MeSH terms

  • Algorithms
  • Animals
  • Anopheles / classification*
  • Developing Countries
  • Expert Systems*
  • Humans
  • India
  • Insect Control
  • Malaria / prevention & control
  • Malaria / transmission
  • Software*
  • Species Specificity