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Diagnosis of Typical Apple Diseases: A Deep Learning Method Based on MultiScale Dense Classification Network 期刊论文
Frontiers in Plant Science, 2021, 期号: 12, 页码: 1-12
作者:  Tian YN(田雨农)
Adobe PDF(4280Kb)  |  收藏  |  浏览/下载：191/33  |  提交时间：2022/01/07
apple disease diagnosis  Cycle-GAN  Multi-scale connection  DenseNet  deep learning  
Diagnosis of Typical Apple Diseases: A Deep Learning Method Based on Multi-Scale Dense Classification Network 期刊论文
FRONTIERS IN PLANT SCIENCE, 2021, 卷号: 12, 页码: 12
作者:  Tian, Yunong;  Li, En;  Liang, Zize;  Tan, Min;  He, Xiongkui
Adobe PDF(4280Kb)  |  收藏  |  浏览/下载：211/3  |  提交时间：2021/12/28
apple disease diagnosis  Cycle-GAN  Multi-scale connection  DenseNet  deep learning  
Low-cost Position and Force Measurement System for Payload Transport Using UAVs 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 4, 页码: 594-604
作者:  Daniel Ceferino Gandolfo;  Claudio D. Rosales;  Lucio R. Salinas;  J. Gimenez;  Ricardo Carelli
Adobe PDF(5932Kb)  |  收藏  |  浏览/下载：154/47  |  提交时间：2021/07/20
Payload transport  unmanned aerial vehicle (UAV)  measurement system  path following controller  low-cost system  
Internet of Things for the Future of Smart Agriculture: A Comprehensive Survey of Emerging Technologies 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 4, 页码: 718-752
作者:  Othmane Friha;  Mohamed Amine Ferrag;  Lei Shu;  Leandros Maglaras;  Xiaochan Wang
Adobe PDF(46102Kb)  |  收藏  |  浏览/下载：201/29  |  提交时间：2021/04/09
Agricultural internet of things (IoT)  internet of things (IoT)  smart agriculture  smart farming  sustainable agriculture  
A Survey on Smart Agriculture: Development Modes, Technologies, and Security and Privacy Challenges 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 2, 页码: 273-302
作者:  Xing Yang;  Lei Shu;  Jianing Chen;  Mohamed Amine Ferrag;  Jun Wu;  Edmond Nurellari;  Kai Huang
Adobe PDF(61519Kb)  |  收藏  |  浏览/下载：175/17  |  提交时间：2021/04/09
Agricultural artificial intelligence  agricultural automation  agricultural Internet of Things  security  smart agriculture