System for Monitoring Marine Turtles Using Unstructured Supplementary Service Data
Authors: Luís Pina
The conservation of marine biodiversity keeps ecosystems in balance and ensures the sustainable use of resources. In this context, technological resources have been used for monitoring marine species to allow biologists to obtain data in real-time. There are different mobile applications developed for data collection for monitoring purposes, but these systems are designed to be utilized only on third-generation (3G) phones or smartphones with Internet access and in rural parts of the developing countries, Internet services and smartphones are scarce. Thus, the objective of this work is to develop a system to monitor marine turtles using Unstructured Supplementary Service Data (USSD), which users can access through basic mobile phones. The system aims to improve the data collection mechanism and enhance the effectiveness of current systems in monitoring sea turtles using any type of mobile device without Internet access. The system will be able to report information related to the biological activities of marine turtles. Also, it will be used as a platform to assist marine conservation entities to receive reports of illegal sales of sea turtles. The system can also be utilized as an educational tool for communities, providing knowledge and allowing the inclusion of communities in the process of monitoring marine turtles. Therefore, this work may contribute with information to decision-making and implementation of contingency plans for marine conservation programs.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.3669242Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 115
 G. Leroux, B. Rakotonirina, S. Ciccione, and S. Hawawini, “First report of Chelonia mydas affected by cutaneous fibropapillomatis on the West coast of Madagascar,” J. Exp. Mar. Bio. Ecol., no. 11, pp. 13–17, 2010.
 S. Carter, I. Bell, J. Miller, and P. Gash, “Automated marine turtle photograph identification using artificial neural networks, with application to green turtles,” J. Exp. Mar. Bio. Ecol., vol. 452, pp. 105–110, 2013.
 Y. A. Valdés, J. A. Ricardo, F. B. Trelles, and O. Espada, “First Assay of photo-identification in marine turtles’ nesting population,” Rev. Investig. Mar., vol. 34, pp. 43–51, 2014.
 B. C. C. S. N. Ocean wise, “WhaleReport.” Ocean Wise Conservation Association, Vancouver, 2018.
 S. Wyche, T. R. Dillahunt, N. Simiyu, and S. Alaka, “‘If God Gives Me The Chance I Will Design my Own Phone’: Exploring Mobile Phone Repair and Postcolonial Approaches to Design in Rural Kenya,” UbiComp ’15, Sept. 07-11, Osaka, Japan, 2015.
 S. P. Wyche and L. L. Murphy, “Powering the cellphone revolution: findings from mobile phone charging trials in off-grid Kenya,” in Proceedings of the SIGCHI Conference on Human Factors in Computing Systems - CHI ’13, 2013, p. 1959.
 S. I. Ahmed, S. Guha, M. R. Rifat, F. H. Shezan, and N. Dell, “Privacy in Repair: An Analysis of the Privacy Challenges Surrounding Broken Digital Artifacts in Bangladesh,” in Proceedings of the Eighth International Conference on Information and Communication Technologies and Development - ICTD ’16, 2016, pp. 1–10.
 S. P. Wyche and L. L. Murphy, “Dead China-Make: Phones off the Grid: Investigating and Designing for Mobile Phone Use in Rural Africa Design and Human Factors,” DIS 2012, no. ACM 978-1-4503-1210-3/12/06, 2012.
 G. Weld et al., “eKichabi: Information Access through Basic Mobile Phones in Rural Tanzania,” 2017.
 S. Date, Suraj., Naghmare, Avinash., Sharma, Nitin., Chavan, “USSD Based Universal Application,” Int. J. Sci. Res. Comput. Sci. Eng. Inf. Technol., vol. 2, no. 2, pp. 692–694, 2017.
 T. Wikedzi, R. Sinde, and D. McIntyre, “System Analysis and Design for integrated sponsored SMS/USSD Based M-Services (A case study of Maternal Health M-Service in Tanzania),” arXiv Prepr. arXiv1408.1201, vol. 12, no. 7, pp. 1–11, 2014.
 T. Perrier, B. DeRenzi, and R. Anderson, “USSD: The Third Universal App,” Proc. 2015 Annu. Symp. Comput. Dev. - DEV ’15, pp. 13–21, 2015.
 B. Wouters, J. Barjis, and G. Maponya, “Supporting Home Based Health Care in South African Rural Communities Using USSD Technology Supporting home based health care in South African rural communities using USSD technology,” Amcis 2009, no. May 2014, pp. 1–9, 2009.
 R. Cs, “Digital payments system and rural India : A review of transaction to cashless economy,” vol. 3, no. 5, pp. 169–173, 2017.
 S. Ochoa, J. Talavera, and J. Paciello, “Applying a Geospatial Visualization Based on USSD Messages to Real Time Identification of Epidemiological Risk Areas in Developing Countries: A Case of Study of Paraguay,” Stud. Health Technol. Inform., vol. 216, pp. 396–400, 2015.
 K. G. Srinivasa, N. Siddiqui, and A. Kumar, “ParaSense -- A Sensor Integrated Cloud Based Internet of Things Prototype for Real Time Monitoring Applications,” 2015 IEEE Reg. 10 Symp., pp. 53–57, 2015.
 M. Hajdul and A. Kawa, “Global logistics tracking and tracing in fleet management,” vol. 9011, no. March, 2015.
 R. Lemmens, J. Lungo, Y. Georgiadou, and J. Verplanke, “Monitoring Rural Water Points in Tanzania with Mobile Phones: The Evolution of the SEMA App,” ISPRS Int. J. Geo-Information, vol. 6, no. 10, p. 316, Oct. 2017.
 B. W. Nyamtiga, A. Sam, and L. S. Laizer, “Security Perspectives for USSD Versus SMS in Conducting Mobile Transactions: A Case Study of Tanzania,” Int. J. Technol. Enhanc. Emerg. Eng. Res., vol. 1, no. 3, 2013.
 K. K. Lakshmi, H. Gupta, and J. Ranjan, “USSD — Architecture analysis, security threats, issues and enhancements,” in 2017 International Conference on Infocom Technologies and Unmanned Systems (Trends and Future Directions) (ICTUS), 2017, pp. 798–802.
 R. C. Bertuzzi Leonelli and J. P. Salazar Fernández, “Diseño e implementación de un servicio de localización y visualización de mapas utilizando J2ME para dispositivos móviles y herramientas de libre distribución,” Síntesis Tecnológica, vol. 3, no. 2, pp. 39–57, 2007.
 L. Pina, L. Rajamanickam, and S. C. Ng, “Feature Extraction of the Carapace for marine Turtle Species Categorization,” Int. J. Sci. Eng. Technol., vol. 5, no. 9, pp. 425–429, 2016.
 T. Athan, “Quantum GIS User Guide,” 2010.
 L. Pina, L. Rajamanickam, and S. C. Ng, “A Hybrid Model for Pattern Recognition of Marine Turtle Species,” Int. J. Sci. Eng. Technol., vol. 5, no. 10, pp. 491–495, 2016.