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Issue:ISSN 2095-1353
           CN 11-6020/Q
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Your Position :Home->Past Journals Catalog->2020年57 No.4

Extraction and analysis of numerical characteristics from forewings of three plant hopper species (Homoptera: Ricaniidae)
Author of the article:PAN Peng-Liang;HONG Feng CHEN;Jun-Hua;LIU Hong-Min;YIN Xin-Ming;XIONG Jian-Wei
Author's Workplace:Henan Provincial South Henan Crop Pest Green Prevention and Control Academician Workstation ; College of Plant Protection, Henan Agricultural University
Key Words:feature extraction; sex discrimination; species identification; automatic monitoring; plant hopper
Abstract:
[Objectives]  To investigate if contour features of the forewings of three Ricaniidae plant hopper species, one of the most important families of pests in orchards, tea plantations, and horticultural plants, can be used to reliably identify an individual’s species and sex. [Methods]  Morphological features of the forewings of the three plant hopper species were extracted by image processing and analysis technology and the data analyzed in SPSS v22.0. [Results]  There was no significant difference in the contour morphological parameters of the left and right wings of one species. However, there was a difference in these parameters between female and male adults of the other two species. Except for the perimeter measurement in Euricania clara, differences in five actual measurements were either significant, or extremely significant, between females and males. Except for the circularity measurement of males and the perimeter measurement, differences in other parameters were also significant, or extremely significant, between species. Canonical discriminant analysis indicates that these three pest species can be distinguished by their forewing contour features with an accuracy from original and cross validation discrimination of more than 90%. [Conclusion]  Three kinds of plant hoppers can be reliably identified by the contour features of their forewings, which provides a method for the automatic identification and population monitoring for these pests.
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