460304. Computer vision
| Title | 460304. Computer vision |
|---|---|
| Parent | 4603. Computer vision and multimedia computation |
Latest research outputs
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Natural enemy detection using machine vision for improved biological control of fall armyworm
McCarthy, A., Girling, R. and Miles, M.. "Natural enemy detection using machine vision for improved biological control of fall armyworm." Australian Summer Grains Conference 2025. Benowa, Australia 07 - 09 Jul 2025Presentation
Verticillium and Fusarium wilts: improving understanding of interactions with irrigation and nutrition, and monitoring with machine vision
Scheikowski, L., McCarthy, A. and Foley, J.. 2025. "Verticillium and Fusarium wilts: improving understanding of interactions with irrigation and nutrition, and monitoring with machine vision." ACDC Seminar Series.Presentation
Lessons from commercialisation of cotton sensing technology research
McCarthy, A., Maas, S., Grundy, D.P. and Long, D.. 2025. "Lessons from commercialisation of cotton sensing technology research." 2025 Australian Cotton Research Conference. Narrabri 23 - 25 Sep 2025 Narrabri, Australia.Presentation
Developing canopy temperature sensors with new multipixel technology
McCarthy, A.. 2025. Developing canopy temperature sensors with new multipixel technology. Toowoomba, Australia. University of Southern Queensland.Technical report
Automated sensing for improved integrated pest management of fall armyworm in summer broadacre crops
McCarthy, A., Girling, R. and Miles, M.. 2025. Automated sensing for improved integrated pest management of fall armyworm in summer broadacre crops. Toowoomba, Australia.Technical report
Effect of Camera Choice on Image-Classification Inference
Brown, Jason, Nguyen, Andy and Raj, Nawin. 2025. "Effect of Camera Choice on Image-Classification Inference." Applied Sciences. 15 (1). https://doi.org/10.3390/app15010246Article
Automated monitoring of fall armyworm natural enemies
McCarthy, A., Girling, R. and Miles, M.. "Automated monitoring of fall armyworm natural enemies." 2024 BACI Science Symposium. Toowoomba, Australia 07 - 07 Nov 2024Presentation
Remote monitoring for FAW using machine vision
McCarthy, A., Humpal, J., Girling, R. and Miles, M.. "Remote monitoring for FAW using machine vision." 2024 National Fall Armyworm Research, Development and Extension Symposium. Brisbane 17 - 18 Apr 2024Conference or Workshop item
UAV Control Method Combining Reptile Meta-Reinforcement Learning and Generative Adversarial Imitation Learning
Jiang, Shui, Ge, Yanning, Yang, Xu, Yang, Wencheng and Cui, Hui. 2024. "UAV Control Method Combining Reptile Meta-Reinforcement Learning and Generative Adversarial Imitation Learning." Future Internet. 16 (3). https://doi.org/10.3390/fi16030105Article
Automated mapping of early Fall armyworm (FAW) damage in sweet corn and maize using machine vision
McCarthy, A. and Humpal, J.. 2023. Automated mapping of early Fall armyworm (FAW) damage in sweet corn and maize using machine vision. Toowoomba, Australia. University of Southern Queensland.Technical report
Artificial Intelligence: what is it and what does it mean for cotton?
McCarthy, Alison. 2023. "Artificial Intelligence: what is it and what does it mean for cotton?" 2023 Australian Cotton Research Conference. Toowoomba 05 - 07 Sep 2023 Australia.Keynote
Variable-rate irrigation: hardware and software tools for improved infield irrigation
McCarthy, Alison and Foley, Joseph. 2023. "Variable-rate irrigation: hardware and software tools for improved infield irrigation." GRDC Grains Research Update: Irrigation efficiency. 30 - 30 May 2023 Australia.Presentation
Research and industry engagement for Ag tech development
McCarthy, Alison. 2023. "Research and industry engagement for Ag tech development." Scenic Rim Agricultural Workshop. Aratula 22 - 22 Mar 2023 Australia.Presentation
CNN Based Image Classification of Malicious UAVs
Brown, Jason, Gharineiat, Zahra and Raj, Nawin. 2023. "CNN Based Image Classification of Malicious UAVs." Applied Sciences. 13 (1), pp. 1-13. https://doi.org/10.3390/app13010240Article
Fractional Fourier Transform Aided Computerized Framework for Alcoholism Identification in EEG
Sadiq, Muhammad Tariq, Akbari, Hesam, Siuly, Siuly, Li, Yan and Wen, Paul. 2022. "Fractional Fourier Transform Aided Computerized Framework for Alcoholism Identification in EEG." 11th International Conference on Health Information Science (HIS 2022). Biarritz, France 28 - 30 Oct 2022 Switzerland. https://doi.org/10.1007/978-3-031-20627-6_10Paper
Potential for machine vision of grain crop features for nitrogen assessment
McCarthy, Alison, Colaco, Andre, Richetti, Jonathan and Baillie, Craig. 2022. "Potential for machine vision of grain crop features for nitrogen assessment." 20th Australian Agronomy Conference (2022). Toowoomba, Australia Toowoomba, Australia.Paper
Inspecting Buildings Using Drones and Computer Vision: A Machine Learning Approach to Detect Cracks and Damages
Munawar, Hafiz Suliman, Ullah, Fahim, Heravi, Amirhossein, Thaheem, Muhammad Jamaluddin and Maqsoom, Ahsen. 2022. "Inspecting Buildings Using Drones and Computer Vision: A Machine Learning Approach to Detect Cracks and Damages." Drones. 6 (1), pp. 1-23. https://doi.org/10.3390/drones6010005Article
Moving Objects Segmentation in Video Sequence based on Bayesian network
Duong, Thach-Thao and Duong, Anh-Duc. 2010. "Moving Objects Segmentation in Video Sequence based on Bayesian network." 8th IEEE-RIVF International Conference on Computing and Communication Technologies: Research, Innovation and Vision for the Future (RIVF 2010). Hanoi, Vietnam 01 - 04 Nov 2010 https://doi.org/10.1109/RIVF.2010.5633458Paper
Automated variety trial plot growth and flowering detection for maize and soybean using machine vision
McCarthy, Alison and Raine, Steven. 2022. "Automated variety trial plot growth and flowering detection for maize and soybean using machine vision." Computers and Electronics in Agriculture. 194, pp. 1-21. https://doi.org/10.1016/j.compag.2022.106727Article
Machine vision tools for Smarter Irrigation of dairy pasture and cotton
McCarthy, Alison, Foley, Joseph, Jamali, Hizbullah, Raedts, Pieter and Hills, James. 2022. "Machine vision tools for Smarter Irrigation of dairy pasture and cotton." 2022 Irrigation Australia Conference and Exhibition. Adelaide, Australia 05 - 07 Oct 2022 Australia.Presentation
Smarter Irrigation for Profit 2 RRDP2002 Precise real-time automated cotton and dairy irrigation for improved water productivity
Foley, J., Gillies, M., McCarthy, A., Kelderman, S., Eberhard, J. and Shippam, R.. 2022. Smarter Irrigation for Profit 2 RRDP2002 Precise real-time automated cotton and dairy irrigation for improved water productivity. Narrabri, Australia.. Cotton Research and Development Corporation.Technical report
Infield sensing of cotton insects using automated image analysis of crop symptoms: CSP2203
Heimoana, Simone, Blankley, S. and McCarthy, Alison. 2022. Infield sensing of cotton insects using automated image analysis of crop symptoms: CSP2203. Australia. Cotton Research and Development Corporation.Technical report
Automated infield canopy temperature assessment of early stage cotton using thermal camera and plant segmentation
McCarthy, Alison, Nunn, Christopher, Jamali, Hizbullah and Long, Derek. 2022. Automated infield canopy temperature assessment of early stage cotton using thermal camera and plant segmentation . Australia. Cotton Research and Development Corporation.Technical report
Cotton health assessment and yield prediction
McCarthy, Alison and Baillie, Craig. 2022. Cotton health assessment and yield prediction. United States. John Deere.Technical report
Future Farm: Improving farmer confidence in targeted N management through automated sensing and decision support
Bramley, Rob, Whelan, Brett, Colaco, André, McCarthy, Alison, Richetti, Jonathan, Lawes, Roger, Fajardo, Mario, Bender, Asher, Pothula, Anand, Baillie, Craig, Perry, Eileen, Fitzgerald, Glenn, Clancy, Alex, Leo, Stephen and Grace, Peter. 2022. Future Farm: Improving farmer confidence in targeted N management through automated sensing and decision support. Australia. Grains Research and Development Corporation.Technical report
Identifying sensors for better IPM in cotton: NEC1901
McCarthy, Alison, Long, Derek and Grundy, Paul. 2022. Identifying sensors for better IPM in cotton: NEC1901. Australia. Cotton Research and Development Corporation.Technical report
Improving pasture growth assessment using machine vision
McCarthy, Alison, Raedts, Pieter, Foley, Joseph and Hills, James. 2022. "Improving pasture growth assessment using machine vision." Australasian Dairy Science Symposium 2022 (ADSS 2022). Twin Waters, Australia 30 Nov - 02 Dec 2022Paper
Daylight illumination compensation for in-field camera systems
Moore, Peter L.. 2022. Daylight illumination compensation for in-field camera systems. Masters Thesis Master of Science (Research). University of Southern Queensland. https://doi.org/10.26192/q7q96Masters Thesis
High accuracy smartphone video calibration for human foot surface mapping
Al-Kharaz, Ali A. and Chong, Albert K.. 2018. "High accuracy smartphone video calibration for human foot surface mapping." 2018 3rd IEEE International Conference on Image, Vision and Computing (ICIVC 2018). Chongqing, China 27 - 29 Jun 2018 New York, United States. https://doi.org/10.1109/ICIVC.2018.8492792Paper
Automatic disparity search range estimation in deep learning stereo
Perera, Ruveen. 2021. Automatic disparity search range estimation in deep learning stereo. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/m0vj-5p57PhD Thesis
3D photogrammetric images to evaluate foot morphology and ankle kinematics during gait of Middle Eastern adults
Al-Kharaz, Ali Abdulmunim Ibrahim. 2021. 3D photogrammetric images to evaluate foot morphology and ankle kinematics during gait of Middle Eastern adults. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/6R0V-JM39PhD Thesis
Developing new techniques to improve licence plate detection systems for complicated and low quality vehicle images
Al-Shemarry, Meeras Salman Juwad. 2020. "Developing new techniques to improve licence plate detection systems for complicated and low quality vehicle images." IEEE Intelligent Informatics Bulletin. 20 (1), pp. 42-44.Article
Report from the conference, ‘identifying obstacles to applying big data in agriculture’
White, Emma L., Thomasson, J. Alex, Auvermann, Brent, Kitchen, Newell R., Pierson, Leland Sandy, Porter, Dana, Baillie, Craig, Hamann, Hendrik, Hoogenboom, Gerrit, Janzen, Todd, Khosla, Rajiv, Lowenberg‑DeBoer, James, McIntosh, Matt, Murray, Seth, Osborn, Dave, Shetty, Ashoo, Stevenson, Craig, Tevis, Joe and Werner, Fletcher. 2021. "Report from the conference, ‘identifying obstacles to applying big data in agriculture’." Precision Agriculture. 22 (1), pp. 306-315. https://doi.org/10.1007/s11119-020-09738-yArticle
New sensing technologies for citrus gall wasp and Fuller’s rose weevil: CT19009
Long, Derek, McCarthy, Alison and Mo, Jianhua. 2021. New sensing technologies for citrus gall wasp and Fuller’s rose weevil: CT19009. Australia. Hort Innovation Austarlia.Technical report
Enhanced deep learning predictive modelling approaches for pain intensity recognition from facial expression video images
Bargshady, Ghazal. 2020. Enhanced deep learning predictive modelling approaches for pain intensity recognition from facial expression video images. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/kjka-n867PhD Thesis
Developing Learning-Based Preprocessing Methods for Detecting Complicated Vehicle Licence Plates
Al-Shemarry, Meeras Salman and Li, Yan. 2020. "Developing Learning-Based Preprocessing Methods for Detecting Complicated Vehicle Licence Plates." IEEE Access. 8, pp. 170951-170966. https://doi.org/10.1109/ACCESS.2020.3024625Article
Mechatronics and Machine Vision in Practice 3
Billingsley, John and Brett, Peter (ed.) 2018. Mechatronics and Machine Vision in Practice 3. Switzerland. Springer.Edited book
The modeling of human facial pain intensity based on Temporal Convolutional Networks trained with video frames in HSV color space
Bargshady, Ghazal, Zhou, Xujuan, Deo, Ravinesh C., Soar, Jeffrey, Whittaker, Frank and Wang, Hua. 2020. "The modeling of human facial pain intensity based on Temporal Convolutional Networks trained with video frames in HSV color space." Applied Soft Computing. 97 (Part A), pp. 1-14. https://doi.org/10.1016/j.asoc.2020.106805Article
Developing new techniques to improve licence plate detection systems for complicated and low quality vehicle images
Al-Shemarry, Meeras Salman Juwad. 2020. Developing new techniques to improve licence plate detection systems for complicated and low quality vehicle images. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/cbeg-yw22PhD Thesis
Pedobarography assessment of hindfoot gender in Middle Eastern adults during gait
Al-Kharaz, Ali A., Chong, Albert and Abbas, Nibras S.. 2020. "Pedobarography assessment of hindfoot gender in Middle Eastern adults during gait." Wysocki, Tadeusz A. and Wysocki, Beata J. (ed.) 2019 13th International Conference on Signal Processing and Communication Systems (ICSPCS 2019). Gold Coast, Australia 16 - 18 Dec 2019 United States. https://doi.org/10.1109/ICSPCS47537.2019.9008466Paper