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

PhD Thesis


Long, Derek. 2018. Machine vision tracking of water advance in cotton surface irrigation with an unmanned aerial system. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/5f643ba5ce22b
Title

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

TypePhD Thesis
Authors
AuthorLong, Derek
SupervisorMcCarthy, Cheryl
Jensen, Troy
Institution of OriginUniversity of Southern Queensland
Qualification NameDoctor of Philosophy
Number of Pages246
Year2018
Digital Object Identifier (DOI)https://doi.org/10.26192/5f643ba5ce22b
Keywordscotton surface irrigation, thermal imagery, image analysis
ANZSRC Field of Research 2020300201. Agricultural hydrology
460306. Image processing
Byline AffiliationsSchool of Mechanical and Electrical Engineering
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