Paper:
Neuro-Fuzzy Control Techniques for Optimal Water Quality Index in a Small Scale Tiger Prawn Aquaculture Setup
Reggie C. Gustilo*, Elmer P. Dadios**, Edwin Calilung**,
and Laurence A. Gan Lim***
*ECE Department, De La Salle University, Manila, 2401 Taft Ave., Manila, Philippines
**MEM Department, De La Salle University, Manila, 2401 Taft Ave., Manila, Philippines
***ME Department, De La Salle University, Manila, 2401 Taft Ave., Manila, Philippines
- [1] www.worldfishcenter.org.
- [2] S. Han, Y. Kang, K. Park, and M. Jang, “Design of Environment Monitoring System for Aquaculture Farms,” Frontiers in the Convergence of Bioscience and Information Technologies, pp. 889-893, 2007.
- [3] C. Deng, Y. Gao, J. Gu, X.Miao, and S. Li, “Research on the growth model of aquaculture organisms based on neural network expert system,” 6th Int. Conf. on Natural Computation (ICNC), pp. 1812-1815, 2010.
- [4] M. Wu, X. Zhang, and T. Wu, “ Research on the aquaculture multiparameter monitoring system,” 2nd Int. Asia Conf. on Informatics in Control, Automation and Robotics (CAR), pp. 76-79, 2010.
- [5] M. Hua, D. Zhao, W. Xia, Y. Zhu, and X. Liu, “The design of intelligent monitor and control system of aquaculture based on wireless sensor networks,” 3rd IEEE Int. Conf. on Computer Science and Information Technology(ICCSIT), pp. 9-12, 2010.
- [6] J. J. Carbajal and L. P. Sanchez, “Classification Based on Fuzzy Inference Systems for Artificial Habitat Quality in Shrimp Farming,” Artificial Intelligence, 7th Mexican Int. Conf. on MICAI ’08., pp. 388-392, 2008.
- [7] M. Wu, X. Zhang, and T. Wu “Research on the aquaculture multi parameter monitoring system,” 2nd Int. Asia Conf. on Informatics in Control, Automation and Robotics (CAR), pp. 76-79, 2010.
- [8] R. Gustilo R and E. Dadios “Fuzzy-Based Water Quality Monitor and Control For Prawn Aquaculture,” 5th Int. Conf. on Humanoid, Nano-technology, Information Technology Communication and Control, Environment and Management (HNICEM), 2011.
- [9] Y. K. Lee, N. Hamzah, and R. Jailani, “Prediction of water quality index (WQI) based on artificial neural network (ANN),” Student Conference on Research and Development (SCOReD 2002), 2002.
- [10] S. R. M. M. Roveda, A. P. M. Bondança, J. G. S. Silva, J. A. F. Roveda, and A. H. Rosa, “Development of a water quality index using a fuzzy logic: A case study for the Sorocaba river,” 2010 IEEE Int. Conf. on Fuzzy Systems (FUZZ), 2010.
- [11] S. W. Shyue, C. L. Lee, and H. C. Chen, “An approach to a coastal water quality index for Taiwan,” Conf. Proc. on OCEANS ’96, MTS/IEEE, Prospects for the 21st Century.
- [12] X. JianYing, C. Jing, G. Xiaoyu, and W. Dongbin, “A New Concept on Water Quality Index for Safe Reuse of Reclaimed Water,” Int. Conf. on Digital Manufacturing and Automation (ICDMA), 2010.
- [13] X. Shen, et al. “Water Environment Monitoring System Based on Neural Networks For Shrimp Cultivation,” 2009 Int. Conf. on Artificial Intelligence and Computational Intelligence, pp. 427-431, 2009.
- [14] J. D. Irish and S. J. Boduch, “Aquaculture Feed buoy Control - Part 2: Telemetry, Data Handling and Shore-Based Control,” OCEANS, pp. 1-6, 2006.
- [15] J. E. Quansah, G. L. Rochon, and K. K. Quagrainie, “Remote sensing applications for sustainable aquaculture in Africa,” IEEE Int. Conf. on Geoscience and Remote Sensing Symposium, IGARSS, 2007.
- [16] A. P. M. Michel, K. L. Croff, K. W. McLetchie, and J. D. Irish, “A remote monitoring system for Open Ocean Aquaculture,” OCEANS ’02 MTS/IEEE.
- [17] R. Lea, E. Dohmann, W. Prebilsky, P. Lee, P. Turk, and Y. Hao, “A fuzzy logic application to aquaculture environment control,” Fuzzy Information Processing Society – NAFIPS, 1998 Conf. of the North American.
- [18] Australian Prawn Farming Manual.
- [19] N. Pushparajan and P. Soundarapandian, “Recent Farming of Marine Black Tiger Shrimp, Penaeus Monodon (Fabricius) in South India,” African J. of Basic & Applied Sciences Vol.2 No.1-2, pp. 33-36, 2010.
- [20] V. De Leon, A. Ballado, R. Gustilo, and P. Dychitran, “MCU-Based Aquaculture System,” IAENG Conf. –WCECS 2011, 2011.
- [21] E. P. Dadios, “Fuzzy Logic,” Cortia: In Tech 2012, Accession Number: dlsu.b1326784.
- [22] V. Dimitrov and V. Korotkich, “Fuzzy logic : a framework for the new millennium,” Heidelberg : Physica-Verlag, 2002.
- [23] L. Y. Kuan, “Prediction of Water Quality Index (WQI) based on artificial neural network,” Student Conf. on Research and Development, 2002.
- [24] S. R. M. M. Roveda et al., “Development of a water quality index using a fuzzy logic: A case study for the Sorocaba river,” 2010 IEEE Int. Conf. on Fuzzy Systems, pp. 1-5, 2010.
This article is published under a Creative Commons Attribution-NoDerivatives 4.0 Internationa License.