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An optical method for automatic classification and recording of a suction trap catch

Published online by Cambridge University Press:  10 July 2009

S.E. Hobbs*
Affiliation:
Cranfield Institute of Technology, UK
G. Hodges
Affiliation:
Cranfield Institute of Technology, UK
*
Dr Stephen Hobbs, Environment and Space Group, Department of Aerospace Science, College of Aeronautics, Cranfield Institute of Technology, Cranfield, Bedford MK43 OAL, UK.

Abstract

A simple optical method for automatic recording and classification of a suction trap catch is described. The insects are illuminated against a dark background as they pass through a detection volume, and the amount of scattered light is used to measure insect size. The design centres on the detection volume, which is a volume through which the insects are made to pass, and within which they may be detected. The design is approached in four stages: 1. Delivery of insects to the detection volume. 2. Illumination of the detection volume. 3. Collection and detection of scattered light. 4. Signal analysis. The analysis could also be applied to related techniques. Results with a prototype demonstrate that classification into broad size categories is straight-forward (e.g. approximately three classes spanning body lengths of 2–7 mm), despite uncertainties of insect reflectivity, aspect and trajectory. Applications of the method are discussed, along with a brief mention of alternative techniques.

Type
Research Article
Copyright
Copyright © Cambridge University Press 1993

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