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您的检索式：作者名="Chunguang Bi"
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| 1 | Disease Recognition of Apple Leaf Using Lightweight Multi-Scale Network with ECANet显示文摘To solve the problem of difficulty in identifying apple diseases in the natural environment and the low application rate of deep learning recognition networks,a lightweight ResNet(LW-ResNet)model for apple disease recognition is proposed.Based on the deep residual network(ResNet18),the multi-scale feature extraction layer is constructed by group convolution to realize the compression model and improve the extraction ability of different sizes of lesion features.By improving the identity mapping structure to reduce information loss.By introducing the efficient channel attention module(ECANet)to suppress noise from a complex background.The experimental results show that the average precision,recall and F1-score of the LW-ResNet on the test set are 97.80%,97.92%and 97.85%,respectively.The parameter memory is 2.32 MB,which is 94%less than that of ResNet18.Compared with the classic lightweight networks SqueezeNet and MobileNetV2,LW-ResNet has obvious advantages in recognition performance,speed,parameter memory requirement and time complexity.The proposed model has the advantages of low computational cost,low storage cost,strong real-time performance,high identification accuracy,and strong practicability,which can meet the needs of real-time identification task of apple leaf disease on resource-constrained devices. | Helong Yu Xianhe Cheng Ziqing Li Qi Cai Chunguang Bi | 2022 | Computer Modeling in Engineering & Sciences2022，，9： | 1 |
| 2 | Fluorescent immunosensor based on fluorescence resonance energy transfer between CdSe/ZnS quantum dots and Au nanorods for PRRSV detection显示文摘An ultrasensitive and selective sandwich-type fluorescent immunosensor based on fluorescence resonance energy transfer(FRET)between CdSe/ZnS quantum dots(QDs)and Au nanorods(AuNRs)was developed for the rapid detection of porcine reproductive and respiratory syndrome virus(PRRSV).Modified CdSe/ZnS QDs and AuNRs were bioconjugated with primary antibodies M and GP5,respectively.When the target antigen was present,a well-known sandwich-type form CdSe/ZnS QDs-M antibody-antigen-GP5 antibody-AuNRs was produced,and thus reducing the distance between the QDs and NRs.As a result,FRET occurred and the fluorescence intensity of CdSe/ZnS QDs decreased,and this decrease was used to determine the antigen concentration.Ultrasensitive detection of PRRSV at low concentrations in swine serum was achieved with a limit of detection of 0.55 TCID50/mL and a linear detection range of 101–3.5104 TCID50/mL.Therefore,the fluorescent immunosensor is selective and highly sensitive;specifically,it can detect PRRSV at low concentrations in swine serum over a large concentration range.This proposed detection method can facilitate the development of high-performance fluorescent immunosensors for the detection of PRRSV and other antigens. | Xue Li Jinhua Li Wentao Yang Dandan Han Na Yao Hongbin Zhao Xueying Chu Xuemei Liang Chunguang Bi Chunfeng Wang Guilian Yang | 2022 | Progress in Natural Science:Materials International2022，32，2： | 0 |
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