Future Directions in Computer-Assisted Taxonomy
Future Directions in Computer-Assisted Taxonomy
David Chesmore
Department of Electronic Engineering, University of
Hull, Huff HU6 7RX, UK
Computer-assisted taxonomy (CAT) is a term describing
any computer-based system for identifying taxa and
can be divided into two broad categories - computer-based
identification based on keys (e.g. CABIKEY) and automated
systems based on techniques such as image processing
or acoustics. Recent advances in computing power and
image/signal processing techniques are opening up new
opportunities for the development of automatic detection
and identification systems for a wide range of taxa.
Examples of current species or groups include frogs,
birds, phytoplankton, fish, Orthoptera, Hymenoptera,
Lepidoptera, leaf-miners, weeds, algae and fungal spores
using techniques as diverse as molecular analysis,
acoustics, flow cytometry, radar, sonar, image processing
and articifial neural networks. Potential applications
for such systems include automated species logging
for biodiversity and ecological studies (e.g. birds,
insect pests), partial or fully automated sorting of
large catches, discrimination of closely similar species,
training aids and "smart" traps.
The purpose of this paper will be to review the current
state of CAT, especially automated systems and report
on a two day inaugural meeting of the Bionet International
working group for computer-assisted taxonomy (BIG-CAT)
at the University of Wales, Cardiff in early July 1997.
The meeting's purpose was to review the current range
of computer applications and focus on likely future
directions. The main outcomes were:
SCAT is multidisciplinary and requires significant collaboration
between biochemists, biologists, ecologists, computer
scientists and electronic engineers;
Skey systems are generally well developed and successful
use depends on the development of keys for specific
taxonomic groups;
Sautomated systems are mainly in the research phase
and tend to be application specific;
Sdemonstration systems should be developed for automated
CAT.
The paper will show that computers can be of considerably
benefit in a number of areas of systematics and CAT
should be included within a future ESF programme.