Advancing elasmobranch research: new technology applications for expanding spatial and temporal scales of traditional methods
Lonati, Martina (2024) Advancing elasmobranch research: new technology applications for expanding spatial and temporal scales of traditional methods. Masters (Research) thesis, James Cook University.
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Abstract
Martina Lonati explored the use of new technologies in shark and ray research. She developed an artificial intelligence protocol to improved photographic identification, and piloted underwater operated vehicles for nocturnal and deep-water surveys. Her findings offer researchers a practical example of incorporating innovation into traditional methods.
| Item ID: | 92044 |
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| Item Type: | Thesis (Masters (Research)) |
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| Copyright Information: | Copyright © 2024 Martina Lonati |
| Additional Information: | One publication arising from this thesis is stored in ResearchOnline@JCU, at the time of processing. Please see the Related URLs. The publication is: [Chapter 3] Lonati, Martina, Jahanbakht, Mohammad, Atkins, Danielle, Bierwagen, Stacy L., Chin, Andrew, Barnett, Adam, and Rummer, Jodie L. (2024) Novel use of deep neural networks on photographic identification of epaulette sharks (Hemiscyllium ocellatum) across life stages. Journal of Fish Biology, 105 (6). pp. 1572-1587. |
| Date Deposited: | 31 May 2026 23:37 |
| FoR Codes: | 31 BIOLOGICAL SCIENCES > 3103 Ecology > 310305 Marine and estuarine ecology (incl. marine ichthyology) @ 60% 46 INFORMATION AND COMPUTING SCIENCES > 4603 Computer vision and multimedia computation > 460306 Image processing @ 20% 46 INFORMATION AND COMPUTING SCIENCES > 4611 Machine learning > 461104 Neural networks @ 20% |
| SEO Codes: | 28 EXPANDING KNOWLEDGE > 2801 Expanding knowledge > 280102 Expanding knowledge in the biological sciences @ 100% |
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