Research output per year
Research output per year
Personal profile
Biographical Details
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 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 an electronics trade as a service engineer.
Approved to Supervise
- Approved PhD/HDR supervisor
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 7 Affordable and Clean Energy -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 11 Sustainable Cities and Communities -
SDG 12 Responsible Consumption and Production -
SDG 15 Life on Land
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Dive into the research topics where Edmund Sadgrove is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
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Explainable Artificial Intelligence (XAI) for Identifying the Integration of International Students in the Host Country and Its Culture
Vakilian, J., Ud Din, F., Sadgrove, E. J., Haghighat, M. & Shafiabady, N., 25 Jun 2026, In: AI. 7, 7, p. 1-22 238.Research output: Contribution to journal › Article › peer-review
Open Access -
Driving AI chatbot adoption: A systematic review of factors, barriers, and future research directions
Alharbi, N., Ud Din, F., Paul, D. & Sadgrove, E., 30 Sept 2025, In: Journal of Open Innovation: Technology, Market, and Complexity. 11, 3, p. 1-19 100590.Research output: Contribution to journal › Article › peer-review
Open Access6 Citations (Scopus) -
Dual-task multi-species network design and training using advanced augmentation techniques
Ford, J., Sadgrove, E. & Paul, D., 31 Dec 2025, In: Smart Agricultural Technology. 12, p. 1-8 101594.Research output: Contribution to journal › Article › peer-review
Open Access -
Joint plant-spraypoint detector with ConvNeXt modules and HistMatch normalization
Ford, J., Sadgrove, E. & Paul, D., 22 Jan 2025, In: Precision Agriculture. 26, p. 1-22 24.Research output: Contribution to journal › Article › peer-review
Open Access3 Citations (Scopus) -
Improving Weeds Detection in Pastures Using Illumination Invariance Techniques
Alyatimi, A. H., Al-Dala’in, T., Chung, V., Anaissi, A. & Sadgrove, E. J., 30 Jun 2024, Proceedings of the Second International Conference on Advances in Computing Research (ACR’24). Daimi, K. & Sadoon, A. A. (eds.). Switzerland: Springer Nature, p. 70-82 (Lecture Notes in Networks and Systems; no. 956).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
2 Citations (Scopus)
Projects
- 1 Finished
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Novel autonomous robotic weed control to maximise agricultural productivity (Ag Kelpie)
Sadgrove, E. (UNE Lead Investigator), Badgery, W. (Co-Investigator), Miron, D. (Co-Investigator), Corke, P. (Partner Investigator) & Lucas, A. (Other)
18/11/20 → 25/04/23
Project: Grant