Long, Derek (2018) Machine vision tracking of water advance in cotton surface irrigation with an unmanned aerial system. [Thesis (PhD/Research)]
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| Item Type: | Thesis (PhD/Research) |
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| Item Status: | Live Archive |
| Additional Information: | Doctor of Philosophy (PhD) thesis. Access restricted to this thesis for 12 months until 18 January 2020, at author's request. |
| Faculty / Department / School: | Current - Faculty of Health, Engineering and Sciences - School of Civil Engineering and Surveying |
| Supervisors: | McCarthy, Cheryl; Jensen, Troy |
| Date Deposited: | 21 Jan 2019 01:44 |
| Last Modified: | 21 Jan 2019 01:46 |
| Uncontrolled Keywords: | cotton surface irrigation, thermal imagery, image analysis |
| Fields of Research : | 07 Agricultural and Veterinary Sciences > 0799 Other Agricultural and Veterinary Sciences > 079901 Agricultural Hydrology (Drainage, Flooding, Irrigation, Quality, etc.) 08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080106 Image Processing |
| URI: | http://eprints.usq.edu.au/id/eprint/35499 |
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