IMAGE RECOGNITION OF MIDGE WING BASED ON ARTIFICIAL INTELLIGENCE

VernacularTitle:利用人工智能技术进行蠓翅图像识别
Author: Ying SU ¹ ; Qiao KE ; Ting-Ting LI ; De-Xing LIU ; Guo-Sheng LIAN ; Zi-Dong CHENG
Author Information

1. 珠海国际旅行卫生保健中心(拱北海关口岸门诊部),广东珠海 519020
Keywords: Midge; Image classification; VGG model; BP model
From: Acta Parasitologica et Medica Entomologica Sinica 2024;31(4):224-229
CountryChina
Language:Chinese
Abstract: Objective The aim of the study is to establish an automatic method for the recognition of common midges based on artificial intelligence technology.Methods Wing images of three species of midges from Zhuhai port,including Culicoides oxystoma,C.peregrinus,and Lasiohelea taiwanai were subjected to develop a reliable automatic recognition method based on a deep learning method.The VGG convolutional neural network model based on the PaddlePaddle framework and the BP neural network model based on Matlab software with manual design features were involved for image recognition.Results Automatic recognition based on VGG model and BP model were established with the prediction accuracy of the test set in the VGG model and BP model was 100.0%and 94.7%,respectively,with no significant difference(P>0.05).Conclusions The artificial intelligence technology can achieve reliable species recognition based on image recognition of midge wings.