Humpal, Jacob (2020) Discrimination of wheat crown rot utilising wavelet based models in the NIR spectrum. [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. |
Faculty/School / Institute/Centre: | Current - Institute for Advanced Engineering and Space Sciences - Centre for Agricultural Engineering (1 Aug 2018 -) |
Faculty/School / Institute/Centre: | Current - Institute for Advanced Engineering and Space Sciences - Centre for Agricultural Engineering (1 Aug 2018 -) |
Supervisors: | McCarthy, Cheryl; Percy, Cassandra; Thomasson, Alex |
Date Deposited: | 21 Dec 2020 03:20 |
Last Modified: | 21 Dec 2020 03:20 |
Uncontrolled Keywords: | crown rot, machine-learning,PCA, wavelet, crop disease, deep-learning |
Fields of Research (2008): | 09 Engineering > 0999 Other Engineering > 099901 Agricultural Engineering |
Fields of Research (2020): | 40 ENGINEERING > 4099 Other engineering > 409901 Agricultural engineering |
URI: | http://eprints.usq.edu.au/id/eprint/40402 |
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