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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  
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  
Accurate and rapid detection of soil and fertilizer properties based on visible/near-infrared spectroscopy 期刊论文
APPLIED OPTICS, 2018, 卷号: 57, 期号: 18, 页码: D69-D73
作者:  Lin, Zhidan;  Wang, Rujing;  Wang, Yubing;  Wang, Liusan;  Lu, Cuiping;  Liu, Yang;  Zhang, Zhengyong;  Zhu, Likai
浏览  |  Adobe PDF(603Kb)  |  收藏  |  浏览/下载:78/40  |  提交时间:2019/11/11