
Dr Owen Kenny ~ Lecturer
Engineering
- About
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- Teaching
- Research Disciplines
- Publications
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These are the most recent publications associated with this author. To see a detailed profile of all publications stored at JCU, visit ResearchOnline@JCU. Hover over Altmetrics badges to see social impact.
- Journal Articles
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- Olsen A, Konovalov D, Philippa B, Ridd P, Wood J, Johns J, Banks W, Girgenti B, Kenny O, Whinney J, Calvert B, Rahimi Azghadi M and White R (2019) DeepWeeds: a multiclass weed species image dataset for deep learning. Scientific Reports, 9.
- Anderson L, McPherson C and Kenny O (2009) Development of a kernel for the detection of non stationary signals. University Journal of Engineering and Technology, 1. pp. 10-13
- McPherson C, Turner P, McPherson G and Kenny O (2007) Application of a three-dimensional hyperbolic location system to the false killer whale (Pseudorca crassidens) depredation issue. International Journal of Global Environmental Issues, 7 (4). pp. 312-321
- Conference Papers
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- Olsen A, Han S, Calvert B, Ridd P and Kenny O (2015) In situ leaf classification using histograms of oriented gradients. Proceedings of the lnternational Conference on Digital lmage Computing: techniques and applications. In: DICTA 2015: lnternational Conference on Digital lmage Computing: techniques and applications, 23-25 Nov 2015, Adelaide, SA, Australia
- Sebastian B, Kenny O, Situ R and Santarossa L (2015) Tractive effort modelling and design of hybrid powertrain for a diesel-hydraulic cane haul locomotive. Proceedings of the 37th Annual Conference of the Australian Society of Sugar Cane Technologists. In: ASSCT 2015: 37th Annual Conference of the Australian Society of Sugar Cane Technologists, 28-30 April 2015, Bundaberg, QLD, Australia
- Kikkert C and Kenny O (2008) The design of Ka band satellite beacon receiver. Proceedings of the Workshop on Applications of Radio Science 2008 Conference. 10-12 Feb 2008, Gold Coast, QLD, Australia
- Kikkert C and Kenny O (2008) Digital signal processing for a Ka Band satellite beacon receiver/ radiometer. Proceedings of the 2008 Australasian Telecommunications Networks and Applications Conference. 7-10 December 2008, Adelaide, SA, Australia
- Kikkert C and Kenny O (2008) A digital signal processing based Ka Band Satellite Beacon Receiver/ Radiometer. Proceedings of 2nd International Conference on Signal Processing and Communication Systems. 15-17 December 2008, Gold Coast, QLD, Australia
- Kikkert C and Kenny O (2008) A digital signal processing based Ka Band Satellite Beacon Receiver. Proceedings of 15th IEEE International Conference on Electronics, Circuits and Systems. In: 15th International Conference on Electronics, Circuits and Systems, 31 August-3 September 2008, Malta
- Grayden D, Burkitt A, Kenny O, Clarey J, Paolini A and Clark G (2004) A cochlear implant speech processing strategy based on an auditory model. Proceedings of the Second International Conference on Intelligent Sensors, Sensor Networks and Information Processing 2004. 14-17 December 2004, Melbourne, VIC, Australia
- Other research outputs
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- McPherson G, McPherson C, Turner P, Kenny O, Madry A, Bedwell I, Clarke G and Kreutz D (2007) Approaches to mitigation of toothed whale depredation on the longline fishery in the eastern Australian Fishing Zone. Proceedings of the Fourth International Fishers Forum. 12 - 14 November, 2007, Puntarenas, Costa Rica
- McPherson C, Turner P, Kenny O and McPherson G (2006) A background noise reduction technique for improving false killer whale (Pseudorca crassidens) localisation. Abstracts from the 4th Joint Meeting of the Acoustical Society of America and Acoustical Society of Japan. 28 November - 2 December 2006, Hawaii
- Current Funding
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Current and recent Research Funding to JCU is shown by funding source and project.
Skyrail Rainforest Foundation - Research Funding
Low-cost Cloud Height Monitoring
- Indicative Funding
- $2,500 over 1 year
- Summary
- The Wet Tropics World Heritage Area is one of the most important environmental regions of northern Queensland - and its ongoing health and the effect of climate change on its ecosystem is of great concern going forward. By monitoring the presence of water vapor over a large time scale it will be possible to detect cloud height patterns and trends potentially damaging changes to the ecosystem. The development of a relatively low-cost monitoring system is important to help acquire field data as many of the current technologies to monitor cloud height are expensive. Providing a low-cost alternative for acquiring these data will allow for further research to be more readily conducted in the future.
- Investigators
- Samuel Healion, Scott Heron, Owen Kenny, Brendan Calvert and Mark Payne (College of Science & Engineering)
- Keywords
- Tropical Rainforest; Water vapour content; Wireless sensor networks; Climate Change; Electronic sensor development
Australian Government Department of Agriculture, Water and the Environment - Control Tools and Technologies for Established Pest Animals and Weeds Programme
Improving the accuracy of weed killing robots with new image processing algorithms and near infra-red spectroscopy techniques
- Indicative Funding
- $271,772 over 2 years
- Summary
- Automated weed species recognition remains a major obstacle to the development and industry acceptance of robotic weed control technology. Particular problems occur in rangeland applications, including high light variability and weed-camera distance variability, which cause camera dynamic range problems, image blurring, and occlusion by other plants. This project aims to develop robust image recognition systems combined with Near Infra-Red spectroscopic methods for these complex rangeland environments with special emphasis on the broad-acre grazing pastures in North Queensland. The developed imaging systems will be suitable for all weed killing applications with particular emphasis given to foliar spot-spraying and Herbicide Ballistic Technologies.
- Investigators
- Ron White, Bronson Philippa, Alex Olsen and Owen Kenny in collaboration with Brett Wedding, Michael Graham, Carole Wright and Stephen Grauf (College of Science & Engineering, QLD Department of Agriculture and Fisheries and Forestry)
- Keywords
- Weed; Near-Infra-Red; Robotics; Image Analysis
- Supervision
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Advisory Accreditation: I can be on your Advisory Panel as a Secondary Advisor.
These Higher Degree Research projects are either current or by students who have completed their studies within the past 5 years at JCU. Linked titles show theses available within ResearchOnline@JCU.
- Completed
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- Improving the accuracy of weed species detection for robotic weed control in complex real-time environments (2020, PhD , Secondary Advisor)
Connect with me
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