PERCEPTION OF AQUACULTURE EXTENSION PERSONNEL ON INFORMATION TECHNOLOGY ENABLED EXPERT SYSTEM FOR SHRIMP AQUACULTURE
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Authors
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M. ALAGAPPAN
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M. KUMARAN
Abstract
Shrimp aquaculture is a knowledge intensive and high value farming enterprise in the coastal agro-ecosystems. An Expert System for Shrimp Aquaculture (ESSHA) was developed mainly for the knowledge management of field extension personnel using Visual Basic 6.0 and MS Access on Better Management Practices of shrimp farming. Its perceptions on the attributes of the expert system were studied among the end users i.e., aquaculture extension personnel. ESSHA was perceived as highly informative, less complex and compatible. It was validated for its technicality, feasibility and user friendly design. ESSHA as a knowledge management tool could be employed by research and development agencies for capacity building of the extension personnel and other end users including aqua farmers.
Key words: Expert system, aquaculture, extension, knowledge dissemination, extension personnel
References
Anderson, J. R. 2007. Agricultural advisory services. Background paper for World Development Report 2008, Agriculture for Development. Washington, DC: World Bank.
Azadivar, F., Truong, T. and Jiao, Y. 2009. A decision support system for fisheries management using operations research and systems science approach. Expert Systems with Applications, 36 (2): 2971-2978.
Bahal, R., Wason, M. and Sudeep. 2006. Expert system for demand driven extension. US-China Education Review, 3 (5): 58-65.
Balasubramani, N. and Swathi Lekshmi, P. S. 2008. Perceptions of rubber growers on information technology enabled rubber expert system. Indian Res. J. Ext. Edu., 8 (2&3): 81-88.
Chen, Y., Bar, H. L. and Teng, F. 2005. A content-based image retrieval system for fish taxonomy. In: Proceedings of the 7th ACM SIGMM International workshop on multimedia information retrieval, Hilton,
Singapore, November 10-11, 2005.
Cheung, W. W. L., Pitcher, T. J. and Pauly, D. 2005. A fuzzy logic expert system to estimate intrinsic extinction vulnerabilities of marine fishes to fishing. Biological Conservation, 124: 97-111.
Freeman, R. R. and Hanfmann, D. T. 1990. REGIS: a prototype regional information system for African aquaculture. In: International Association of Marine Science Libraries and Information Centres. Conference, 15th May, 1989 at St George, Bermuda, pp. 55-64.
Guisande, C., Manjarrés-Hernández, A., Pelayo-Villamil, P., Granado-Lorencio, C., Riveiro, I., AcuËœna, A., Prieto-Piraquive, E., Janeiro, E., MatÃas, J. M., Patti, C., Patti, B., Mazzola, S., Jiménez, S., Duque, V. and Salmerón, F. 2010. IPez: An expert system for the taxonomic
identification of fishes based on machine learning techniques. Fisheries Research, 102: 240-247.
Gum, R. L. and Blank, S. T. 1990. Designing expert systems for effective delivery of extension programming. American Journal of Agricultural Economics, 72 (3): 539-547.
Halide, H., Stigebrandt, A., Rehbein, M., McKinnon, A. D. 2009. Developing a decision support system for sustainable cage aquaculture. Environmental Modelling & Software, 24: 694-702.
Helen, S. and Kaleel, F. M. H. 2009. Perception of prospective users about the performance of agricultural expert system. Indian Res. J. Ext. Edu., 10 (3): 95-99.
Jacobsen, C. 1987. Principles and methods of extension work. Haigud, Society for transfer of technology, 175p.
Jamison, D. and Lau, L. 1982. Farmer Education and farm Efficiency. John Hopkins Press for the World Bank, Baltimore, MD.
Kumar, V., Lehri, S., Sharma, A. K., Meena, P. D. and Kumar, A. 2008. Image Based Rapeseed-Mustard Disease Expert System: An Effective Extension Tool. Indian Res. J. Ext. Edu., 8 (2&3): 10-13.
Lewis, K. A. and Bardon, K. S. 1998. A computer-based informal environmental management system for Agriculture. Environmental Modelling & Software, 13:123-137.
Maguswi, C. T., Brummett, R. E. and Pouomogne, V. 2004. Aquaculture extension in Zambia. In: Coche, A. G. (Ed.,), Aquaculture extension in sub-Saharan Africa. FAO Fish Circ No 1002 pp.43-48.
Mansingh, G., Reichgelt, H. and Bryson, K. M. O. 2007. CPEST: An expert system for the management of pests and diseases in the Jamaican coffee industry. Expert Systems with Applications, 32: 184-192.
Mohamad, N. R., Daut, N. and Jaaman, S. A. 2008. Development of expert system for identifying dolphn's species in Malaysian fisheries using PROLOG. In: International symposium on information technology, 26-28, August, 2008 pp: 1-6.
Nan, L., Ruimei, W., Jian, Z., Zetian, F. and Xiao Shuan, Z. 2009. Developing a knowledge-based early warning system for fish disease/ health via water quality management. Expert Systems with Applications, 36: 6500-6511.
Omoyeni, B. A. and Yisa, J. J. 2005. Enhancement of fish production in Borno State with Extension services: In: Araoye, P. A. (ed) Proceedings of the annual conference of the Fisheries Society of Nigeria (FISON), pp 658-662.
Rafea, A. and Shaalan, K. 1996. Using expert systems as a training tool in the agriculture sector in Egypt. Expert Systems with Applications,11 (3): 343-349.
Rafea, A. A. 1998. Egyptian research program for developing expert systems in agriculture. In: Zazueta, F. S. and Xin, J. (eds) Computer in Agriculture 1998.
Proceedings of the seventh International conference of the society for engineering in agricultural, Food, and Biological Systems, 26-30 October 1998, The American Society of Agricultural Engineers, Orando, Florida, St. Joseph, Michigan.
Rao, J. V. K., Ramchander, P. R., Gowda, M. J. C. and Achalaparipurna, K. 1999. Extension through expert systems new vistas. Journal of Extension Education, 10 (4): 6170.
Regina, B., Kristin, D., John, P., Ephraim, N., Ponniah, A., Javier, E., Adiel, M., David, S., Daniela, H., Samuel, B. and Wilberforce, K. M. 2006. From "Best Practice" to "Best Fit". A Framework for Designing and Analyzing Pluralistic Agricultural Advisory Services, International
Food Policy Research Institute, Washington, DC, USA. Sadly, M., Hendiarti, N., Sachoemar, S. I. and Faisal, Y. 2009. Fishing ground prediction using a knowledge-based expert system geographical
information system model in the South and Central Sulawesi coastal waters of Indonesia. International Journal of Remote Sensing, 30 (24): 6429-6440.
Sivakami, S. and Karthikeyan, C. 2009. Evaluating the effectiveness of expert system for performing agricultural extension services in India. Expert Systems with Applications, 36: 9634-9636.
Somasekhar, N. 1999. CropCare-X10, a model expert system for the diagnosis and management of crop pests and diseases. Pest Management in Horticultural Eco Systems, 5 (1): 5456.
Taneja, R. P. 1989. Dictionary of Education. Anmol publications, Ansari road, New Delhi.
Thammi Raju, D. and Sudhakar Rao, B. 2006. An information technology enabled Poultry Expert System: Perceptions of veterinarians and veterinary students.
International Journal of Education and Development using Information and Communication Technology, 2 (2): 100-107.
Thammi Raju, D., Sudhakar Rao, B. and Reddy, M. S. 2006. Methodology for development of information technology enabled extension advisory system under Indian conditions. Available via http://iaita.daiict.ac.in/ 2006workshop.html.
Turban, E. and Aronson, J. E. 2001. Decision support system and intelligent system, 6th Edition, Hong Kong: Prentice International Hall.
Udo, M. T., Okon, A. O., Lebo, P. E. and Ikpe, G. B. 2005. Improving aquaculture through increased fisheries extension research. In: Araoye, P. A. (ed) Proceedings of the 19th Annual conference of the Fisheries Society of Nigeria, pp 54-57.
Wang, G. and Li, D. 2009. A Fish Disease Diagnosis Expert System Using Short Message Service. In: International Conference on Communications and Mobile Computing, pp 299-303.
World Bank, 2007. World Development Report 2008:Agriculture for development. The World Bank, Washington DC.
Xiaoshuan, Z. 2004. Design the forecasting support system based on agent for aquatics product price. Computer Engineering, 8: 134-136.
Xiaoshuan, Z., Tao, H., Revell, B. and Zetian, F. 2005. A forecasting support system for aquatic products price in China. Expert Systems with Applications, 28 (1): 119-126.
Xing, B., Li, D., Wang, J., Duan, Q. and Wen, J. 2009. An early warning system for flounder disease. Computer and computing Technologies in Agriculture, 2: 1011-1018.
Xu, L., Yu, C., Xing, B. and Li, D. 2009. A PDA-based feeding expert system for indoor intensive culturing of Southern Flounder in China. Computer and Computing Technologies in Agriculture, 1: 725-733.
Yuan, H., Xie, L., Chen, M., He, Q. and Chen, Y. 2008. An expert system for fish disease tele-diagnosis based on 3I fuzzy reasoning mechanism. In: 7th World Congress on Intelligent Control and Automation, 2008. WCICA 2008, pp 2121-2125.
Zetian, F., Feng, X., Yun, Z. and XiaoShuan, Z. 2005. Pig-vet: a web-based expert system for pig disease diagnosis. Expert Systems with Applications, 29: 93-103.
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