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 to this thesis permanently restricted at author's request.
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Civil Engineering and Surveying (1 Jul 2013 -)
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Civil Engineering and Surveying (1 Jul 2013 -)
Supervisors: McCarthy, Cheryl; Jensen, Troy
Date Deposited: 21 Jan 2019 01:44
Last Modified: 20 Nov 2020 04:19
Uncontrolled Keywords: cotton surface irrigation, thermal imagery, image analysis
Fields of Research (2008): 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
Identification Number or DOI: doi:10.26192/5f643ba5ce22b
URI: http://eprints.usq.edu.au/id/eprint/35499

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