南京农业大学教师个人主页 Kailiang Li--Home--Home

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Kailiang Li

School/Department: College of Artificial Intelligence
Education Level:University graduated
Degree:Bachelor's Degree in Science
Alma Mater:广东石油化工学院

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Research Focus

农业物联网，硬件设计

Paper Publications Patents Published Books

1
Han Ru, Shu Lei, Li Kailiang.A Method for Plant Disease Enhance Detection Based on Improved YOLOv8,2024 33RD INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS, ISIE 2024,2024,(Participating authors)
2
Yang Xing, Shu Lei, Li Kailiang, Huo Zhiqiang, Shu Sheng, Nurellari Edmond.SILOS: An Intelligent Fault Detection Scheme for Solar Insecticidal Lamp IoT With Improved Energy Efficiency,IEEE INTERNET OF THINGS JOURNAL,2023,(Participating authors)
3
Huang Kai, Shu Lei, Li Kailiang, Feng Yuyu, Yang Xing, Liu Ye, Yang Fan, Zhu Yan.A Novel Accurate Insecticidal Counting Method Based on Solar Insecticidal Lamp Using Machine Learning,IEEE TRANSACTIONS ON CONSUMER ELECTRONICS,2023,69(4):1045-1045(Participating authors)
4
Huang Kai,Shu Lei,Li Kailiang,Chen Yuejie,Zhu Yan,Valluru Ravi.Sustainable and Intelligent Phytoprotection in Photovoltaic Agriculture: New Challenges and Opportunities,ELECTRONICS,2023,12(5)(Participating authors)
5
Jiang Zitian, Shu Lei, Yang Xing, Huang Kai, Li Kailiang, Lin Wei.An Insecticidal Counting Method Based on Insecticidal Discharge Sound Signal Processing,2023 IEEE 2ND INDUSTRIAL ELECTRONICS SOCIETY ANNUAL ON-LINE CONFERENCE, ONCON,2023,:-(Participating authors)
6
Yang Xing,Shu Lei,Li Kailiang,Nurellari Edmond,Huo Zhiqiang,Zhang Yu.A Lightweight Fault-Detection Scheme for Resource-Constrained Solar Insecticidal Lamp IoTs,SENSORS,2023,23(15)(Participating authors)

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【Patent】舒磊,蒋子天,李凯亮，一种基于声音时域分析的太阳能杀虫灯杀虫计数方法，

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