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HFCAS OpenIR
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Towards densely clustered tiny pest detection in the wild environment 期刊论文
NEUROCOMPUTING, 2022, 卷号: 490
作者:  Du, Jianming;  Liu, Liu;  Li, Rui;  Jiao, Lin;  Xie, Chengjun;  Wang, Rujing
收藏  |  浏览/下载：13/0  |  提交时间：2022/12/23
Pest detection  Clustered tiny object  Small object detection  Image dataset  
Deep Learning Based Automatic Multiclass Wild Pest Monitoring Approach Using Hybrid Global and Local Activated Features 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2021, 卷号: 17
作者:  Liu, Liu;  Xie, Chengjun;  Wang, Rujing;  Yang, Po;  Sudirman, Sud;  Zhang, Jie;  Li, Rui;  Wang, Fangyuan
收藏  |  浏览/下载：76/0  |  提交时间：2021/09/06
Feature extraction  Monitoring  Machine learning  Object detection  Agriculture  Proposals  Image recognition  Convolutional neural network (CNN)  global activated feature pyramid network  local activated region proposal network  pest monitoring  
Recognition and counting of wheat mites in wheat fields by a three-step deep learning method 期刊论文
NEUROCOMPUTING, 2021, 卷号: 437
作者:  Chen, Peng;  Li, WeiLu;  Yao, SiJie;  Ma, Chun;  Zhang, Jun;  Wang, Bing;  Zheng, ChunHou;  Xie, ChengJun;  Liang, Dong
收藏  |  浏览/下载：68/0  |  提交时间：2021/05/10
Pest identification  Pest counting  Convolutional neural network  Region proposal network  
Learning region-guided scale-aware feature selection for object detection 期刊论文
NEURAL COMPUTING & APPLICATIONS, 2020
作者:  Liu, Liu;  Wang, Rujing;  Xie, Chengjun;  Li, Rui;  Wang, Fangyuan;  Zhou, Man;  Teng, Yue
收藏  |  浏览/下载：94/0  |  提交时间：2020/11/30
Scale variation  Object detection  RoI Pyramid  Scale-aware feature selective  
AF-RCNN: An anchor-free convolutional neural network for multi-categories agricultural pest detection 期刊论文
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2020, 卷号: 174
作者:  Jiao, Lin;  Dong, Shifeng;  Zhang, Shengyu;  Xie, Chengjun;  Wang, Hongqiang
收藏  |  浏览/下载：50/0  |  提交时间：2020/11/26
Agricultural pest detection  Fusion features  Anchor-free  RCNN  Region proposals  
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