SILOS: An Intelligent Fault Detection Scheme for Solar Insecticidal Lamp IoT With Improved Energy Efficiency-Reference-Cited by-同舟云学术

SILOS: An Intelligent Fault Detection Scheme for Solar Insecticidal Lamp IoT With Improved Energy Efficiency

Author:

Yang Xing¹^ORCID,Shu Lei²,Li Kailiang³,Huo Zhiqiang⁴^ORCID,Shu Sheng³,Nurellari Edmond²^ORCID

Affiliation:

1. College of Engineering, Nanjing Agricultural University, Nanjing, China

2. School of Engineering, University of Lincoln, Lincoln, U.K.

3. School of Artificial Intelligence, Nanjing Agricultural University, Nanjing, China

4. Institutional Research Information System, University College London, London, U.K.

Funder

National Natural Science Foundation of China

Jiangsu Agriculture Science and Technology Innovation Fund

High-End Foreign Experts Recruitment Plan of the Ministry of Science and Technology, China

Jiangsu Modern Agricultural Machinery Equipment and Technology Demonstration and Promotion Project

International Cooperation Capacity Enhancement Plan of Nanjing Agricultural University

China Scholarship Council

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

Reference53 articles.

4. Design and prospect for anti-theft and anti-destruction of nodes in solar insecticidal lamps Internet of Things;kai;Smart Agric,2021

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献