Mengxuan Wang
Anhui Agricultural University
10 Papers
Mengxuan Wang is an academic researcher from Anhui Agricultural University. The author has contributed to research in topics: Computer science & Control theory (sociology). The author has an hindex of 3, co-authored 3 publications.
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Papers
Evaluation of Aboveground Nitrogen Content of Winter Wheat Using Digital Imagery of Unmanned Aerial Vehicles.
Baohua Yang,Mengxuan Wang,Zhengxia Sha,Bing Wang,Jianlin Chen,Xia Yao,Tao Cheng,Weixing Cao,Yan Zhu +8 more
TL;DR: The results implied that the proposed method could improve the estimation accuracy of aboveground nitrogen content of winter wheat from UAVs with consumer digital cameras, which have greater application potential in predicting other growth parameters.
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Cross-Category Tea Polyphenols Evaluation Model Based on Feature Fusion of Electronic Nose and Hyperspectral Imagery.
TL;DR: Results indicate that the proposed method can improve the estimation accuracy of tea polyphenol content for cross-category evaluation, which provides a technical basis for predicting other components of tea.
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A Model for Yellow Tea Polyphenols Content Estimation Based on Multi-Feature Fusion
TL;DR: A multi-feature fusion method is proposed to improve the accuracy of tea polyphenols content estimation, which includes multi-scale wavelet decomposition, and feature fusion based on wavelet coefficient features, GLCM texture features and wavelet texture features.
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Simultaneous Assessment of Multiple Aspects of Stability of Power Systems with Renewable Generation
TL;DR: In this paper , a probabilistic framework and two composite stability indices for the simultaneous assessment of multiple aspects of power system stability is proposed. But the application of the indices is demonstrated on a range of case studies with modified IEEE 9-bus and modified IEEE 68-bus test systems without/with RES in a mixed Matlab and DigSilent PowerFactory simulation environment.
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The Impacts of Demand Side Management on Combined Frequency and Angular Stability of the Power System
TL;DR: In this article , the impact of DSM on system stability is assessed using a composite stability index, and the versatility of the proposed composite index and critical factors (i.e., penetration level of Renewable Energy Source (RES) and modelling of system demand) are identified using a range of case studies.
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