Machine vision tracking of water advance in cotton surface irrigation with an unmanned aerial system

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)
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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