Scientific Reports (2015) 5 (12786)

He-Ping Yang, Chun-Sen Ma, Hui Wen, Qing-Bin Zhan, Xin-Li Wang (2015)
A tool for developing an automatic insect identification system based on wing outlines
Scientific Reports 5 (12786), 1-11
Abstract: For some insect groups, wing outline is an important character for species identification. We have constructed a program as the integral part of an automated system to identify insects based on wing outlines (DAIIS). This program includes two main functions: (1) outline digitization and Elliptic Fourier transformation and (2) classifier model training by pattern recognition of support vector machines and model validation. To demonstrate the utility of this program, a sample of 120 owlflies (Neuroptera: Ascalaphidae) was split into training and validation sets. After training, the sample was sorted into seven species using this tool. In five repeated experiments, the mean accuracy for identification of each species ranged from 90% to 98%. The accuracy increased to 99% when the samples were first divided into two groups based on features of their compound eyes. DAIIS can therefore be a useful tool for developing a system of automated insect identification.
(The abstract has been supplied by the author or ISPI and is excluded from the Creative Commons licence.)
Full text of article
Database assignments for author(s): Chun-Sen Ma

Research topic(s) for pests/diseases/weeds:
identification/taxonomy
general biology - morphology - evolution
Research topic(s) for beneficials or antagonists:
identification/taxonomy
general biology - morphology - evolution

---

Pest and/or beneficial records:

Beneficial	Pest/Disease/Weed	Crop/Product	Country	Quarant.