Dr Muhammad Moshiur Rahman
Senior Research Fellow - Applied Agricultural Remote Sensing Centre
Biography
Dr Moshiur Rahman is a research scientist with more than 10 years’ experience in precision agricultural technologies. He has been involved in a number of industry funded projects, where he has developed prediction models for different agricultural and horticultural crops. His research fields include Satellite Image Processing, Machine Learning, Pattern recognition, Computer Modelling, and their applications to address relevant industry problems such as crop growth monitoring, yield prediction and overall improved adoption of precision agricultural technologies. His main expertise resides in the use of satellite remote sensors, such as WorldView (WV), SPOT, Sentinel etc.; and proximal sensors including CropCircle, Quantum Bar Sensor, Radiometer, Time domain Reflectometry (TDR) etc. to develop crop-climatic models for agricultural industry. He is an advanced user of Python and R code. He gained a number of International and Australian award including Australian Postgraduate Award, International Postgraduate Research Scholarship, Endeavour Research Fellowship, Outstanding graduate student award in 13th ICPA, Netherlands Fellowship Award.
