Junlong Fang

Orcid: 0000-0002-2116-3795

According to our database1, Junlong Fang authored at least 14 papers between 2007 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
A SCADA-Data-Driven Condition Monitoring Method of Wind Turbine Generators.
IEEE Access, 2022

2020
A storage architecture for high-throughput crop breeding data based on improved blockchain technology.
Comput. Electron. Agric., 2020

2018
Tracking prediction to avoid obstacle path of agricultural unmanned aerial vehicle based on particle filter.
J. Syst. Control. Eng., 2018

2017
A Wireless Sensor Monitoring Node Based on Automatic Tracking Solar-Powered Panel for Paddy Field Environment.
IEEE Internet Things J., 2017

A node localisation approach based on mobile beacon using particle swarm optimisation in wireless sensor networks.
Int. J. Embed. Syst., 2017

2016
An Efficient Node Localization Approach with RSSI for Randomly Deployed Wireless Sensor Networks.
J. Electr. Comput. Eng., 2016

2014
A Node Localization Approach Using Particle Swarm Optimization in Wireless Sensor Networks.
Proceedings of the International Conference on Identification, 2014

2010
Design and Implementation of a Low-Power ZigBee Wireless Temperature Humidity Sensor Network.
Proceedings of the Computer and Computing Technologies in Agriculture IV, 2010

2009
A Wireless Real-Time Monitoring Node of the Physiological Signals for Unrestrained Dairy Cattle Using Wireless Sensor Network.
Proceedings of the Computer and Computing Technologies in Agriculture III, 2009

Research on Regional Spatial Variability of Soil Moisture Based on GIS.
Proceedings of the Computer and Computing Technologies in Agriculture III, 2009

2008
Experimental Study for Automatic Colony Counting System Based Onimage Processing.
Proceedings of the Computer and Computing Technologies in Agriculture II, Volume 2, 2008

2007
Near Infrared Spectrum Detection of Soybean Fatty Acids Based on GA and Neural Network.
Proceedings of the Computer And Computing Technologies In Agriculture, 2007

Research on the Spatial Variability of Soil Moisture Based on GIS.
Proceedings of the Computer And Computing Technologies In Agriculture, 2007

Application of Genetic Algorithm (GA) Trained Artificial Neural Network to Identify Tomatoes with Physiological Diseases.
Proceedings of the Computer And Computing Technologies In Agriculture, 2007


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