Dr Edmund Sadgrove
Lecturer in Computer Science - School of Science and Technology
Phone: +61 2 6773 5549
Edmund J. Sadgrove is currently exploring the use of artificial neural based machine learning methods, including colour feature extreme learning and support vector machines. This includes novel approaches for the detection of objects in crops and pastural landscapes. His research interests include data structures, data mining, artificial intelligence and computer vision based algorithms for robotics based systems.
His focus is primarily on machine learning solutions in the agriculture. He completed his PhD as part of the precision agriculture research group and is currently working on solutions in this area. Prior to receiving his degree and doctorate at the University of New England, Edmund completed an apprenticeship in electronics trade as a service engineer.
BCompSc (Hons) (UNE), PhD (UNE)
Databases and introductory programming units
Sadgrove E., Falzon G., Miron D. and Lamb D. W., Real-time object detection in agricultural/remote environments using the multiple-expert colour feature extreme learning machine (MEC-ELM). Computers in Industry. 98. 183-191., 2018.
Sadgrove E., Falzon G., Miron D. and Lamb D. W., Fast object detection in pastoral landscapes using a Colour Feature Extreme Learning Machine. Computers and Electronics in Agriculture.,139. 204-212., 2017.
Sadgrove E., Falzon G., Miron D. and Lamb D. W., Fast object detection in pastoral landscapes using a multiple expert colour feature extreme learning machine, in: The International Tri-Conference for Precision Agriculture (PA17), 1st Asian-Australia Conference on precision Pastures and Livestock Farming., 2017.