Automatic plant features recognition using stereo vision for crop monitoring

Mohammed Amean, Zainab (2017) Automatic plant features recognition using stereo vision for crop monitoring. [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 1 July 2019, at author's request.
Faculty / Department / School: Current - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering
Supervisors: Low, Tobias; McCarthy, Cheryl; Hancock, Nigel
Date Deposited: 11 Jul 2018 00:18
Last Modified: 11 Jul 2018 00:19
Uncontrolled Keywords: machine vision; stereo vision; vision-guided agricultural robots; crop monitoring; cotton; plant identification; depth sensing; leaves detection; stem segmentation
Fields of Research : 09 Engineering > 0902 Automotive Engineering > 090203 Automotive Mechatronics
09 Engineering > 0906 Electrical and Electronic Engineering > 090602 Control Systems, Robotics and Automation
08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080104 Computer Vision
URI: http://eprints.usq.edu.au/id/eprint/34474

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