https://commons.ru.ac.za/vital/access/manager/Index en-us 5 https://commons.ru.ac.za/vital/access/manager/Repository/vital:5333 99%) better than presence (60%). Because coelacanths have a unique spot pattern it was possible to quickly and accurately identify specific individuals photographically using computer-aided identification software. Without any manual intervention by an operator the software accurately identified between 56 and 92% of the individuals. Identification success increased to 100% if the operator could also manually select from other potential matching photographs. It was also shown that fish exhibiting a yaw angle not exceeding 60° could be accurately identified in photographs. Each of the sections presented in this thesis represent a possible step towards analysing coelacanth-related habitats, locating and then analysing new habitats. Steps include first locating a population and then performing a habitat analysis. Coelacanth location within the different habitats can then be determined allowing the development of predictive models to potentially identify possible locations of new populations. The final step is to identify individual fish within the population for assessing demographic parameters and population monitoring.]]> Wed 12 May 2021 23:21:26 SAST ]]> https://commons.ru.ac.za/vital/access/manager/Repository/vital:5296 Thu 13 May 2021 06:49:26 SAST ]]> https://commons.ru.ac.za/vital/access/manager/Repository/vital:5227 Thu 13 May 2021 06:47:50 SAST ]]> https://commons.ru.ac.za/vital/access/manager/Repository/vital:5308 Thu 13 May 2021 02:15:19 SAST ]]>