Dr Edmund Sadgrove

Lecturer in Computer Science - School of Science and Technology

Edmund Sadgrove

Phone: +61 6773 5549

Email: esadgro2@une.edu.au

Biography

Edmund J. Sadgrove is currently exploring the use of artificial neural based machine learning methods, including the extreme learning machine to detect objects in pastural landscapes and with the potential for ensemble classifiers. His research interests include data structures, data mining, artificial intelligence and computer vision based algorithms for robotics based systems and has a particular focus on the agriculture industry. He completed his PhD as part of the precision agriculture research group and prior to receiving his degree and doctorate at the University of New England, Edmund completed an apprenticeship in electronics trade as a service engineer.

Qualifications

BCompSc (Hons) (UNE), PhD (UNE)

Teaching Areas

Databases and introductory programming units

Publications

Journal articles:

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.

Conference paper/presentation:

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.