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An effective automatic system deployed in agricultural Internet of Things using Multi-Context Fusion Network towards crop disease recognition in the wild 期刊论文
APPLIED SOFT COMPUTING, 2020, 卷号: 89
作者:  Zhao, Yushan;  Liu, Liu;  Xie, Chengjun;  Wang, Rujing;  Wang, Fangyuan;  Bu, Yingqiao;  Zhang, Shunxiang
收藏  |  浏览/下载：52/0  |  提交时间：2020/11/26
Multiclass crop disease recognition  Convolutional Neural Network  Internet of Things  Multi-Context Fusion Network  ContextNet  
Fusing multi-scale context-aware information representation for automatic in-field pest detection and recognition 期刊论文
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2020, 卷号: 169
作者:  Wang, Fangyuan;  Wang, Rujing;  Xie, Chengjun;  Yang, Po;  Liu, Liu
收藏  |  浏览/下载：58/0  |  提交时间：2020/11/26
Convolutional neural network  Context-aware attention network  Multi-projection pest detection model  In-field pest in food crop  
An Effective Data Augmentation Strategy for CNN-Based Pest Localization and Recognition in the Field 期刊论文
IEEE ACCESS, 2019, 卷号: 7
作者:  Li, Rui;  Wang, Rujing;  Zhang, Jie;  Xie, Chengjun;  Liu, Liu;  Wang, Fangyuan;  Chen, Hongbo;  Chen, Tianjiao;  Hu, Haiying;  Jia, Xiufang;  Hu, Min;  Zhou, Man;  Li, Dengshan;  Liu, Wancai
收藏  |  浏览/下载：104/0  |  提交时间：2020/10/28
Pest localization  pest recognition  convolutional neural network  multi-scale  data augmentation  
Insect Detection and Classification Based on an Improved Convolutional Neural Network 期刊论文
SENSORS, 2018, 卷号: 18, 期号: 12, 页码: 12
作者:  Xia, Denan;  Chen, Peng;  Wang, Bing;  Zhang, Jun;  Xie, Chengjun
浏览  |  Adobe PDF(2900Kb)  |  收藏  |  浏览/下载：87/47  |  提交时间：2020/03/31
convolutional neural network  insect detection  field crops  region proposal network  VGG19  
Multi-level learning features for automatic classification of field crop pests 期刊论文
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2018, 卷号: 152, 期号: 无, 页码: 233-241
作者:  Xie, Chengjun;  Wang, Rujing;  Zhang, Jie;  Chen, Peng;  Dong, Wei;  Li, Rui;  Chen, Tianjiao;  Chen, Hongbo
浏览  |  Adobe PDF(2619Kb)  |  收藏  |  浏览/下载：147/96  |  提交时间：2019/12/11
Pest classification  Unsupervised feature learning  Dictionary learning  Feature encoding