Abstract
In South Africa, fishing industry helps reduce poverty, famine and crime by providing jobs to citizens. Fishing industry also contributes to income generation of the country through export markets, investments from private companies, etc. However, the industry faces a mirage of challenges due to unsafe fishing conditions caused by weather, criminals, wild animals, faulty boats, etc. In other words, the benefits we get from fishing are affected by these unsafe conditions. We intend to implement a system that would enhance safe fishing by reducing unsafe fishing conditions using Java, Android, MySQL, and Toad technologies. In order to model our system, we went to Eastern Cape, Limpopo, Mpumalanga, Western Cape, Northern Cape and Kwazulu Natal provinces to collect data using questionnaires. Research questions included, what methods fishermen use to catch fish, what challenges fishermen face while fishing, etc. After collecting all the required data, we modelled the system using UML diagrams. The results show real challenges and safety concerns for fishermen in South Africa.
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Acknowledgements
The authors would like to acknowledge Tshwane University of Technology (TUT), National Research Foundation (NRF) and Council for Scientific and Industrial Research (CSIR) for the financial support that has made this work possible. The authors would also like to acknowledge Faculty Higher Committee and the Research Ethics Committee (FCRE) of TUT for ethical approval (Reference Number: FCRE/ICT/2016/05/003(2)).
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Netshisumbewa, T., Kogeda, O.P., Lall, M. (2017). Towards a Model of Enhancing Safety Fishing in South Africa. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2017. ICCSA 2017. Lecture Notes in Computer Science(), vol 10408. Springer, Cham. https://doi.org/10.1007/978-3-319-62404-4_14
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DOI: https://doi.org/10.1007/978-3-319-62404-4_14
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