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| An Expert System for Diagnosis of Diseases in Rice Plant
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Source |
International Journal of Artificial Intelligence and Expert Systems (IJAE) |
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Table of Contents |
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Complete Issue PDF(3.2MB) |
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Volume: 1 Issue: 2 |
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Pages: 7-53 |
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Publication
Date: July 2010 |
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ISSN
(Online): 2180-124X |
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Pages |
26 - 31 |
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Author(s) |
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Published
Date |
10-06-2010 |
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Publisher |
CSC
Journals, Kuala Lumpur,
Malaysia |
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ADDITIONAL
INFORMATION |
| Keywords Abstract References Cited by Related Articles Collaborative
Colleague |
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KEYWORDS: Expert System, ESTA, Rice Disease, Knowledge Representation |
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| This paper presents an architectural framework of an Expert System in the area
of agriculture and describes the design and development of the rule based expert
system, using the shell ESTA (Expert System for Text Animation). The designed
system is intended for the diagnosis of common diseases occurring in the rice
plant. An Expert System is a computer program normally composed of a
knowledge base, inference engine and user-interface. The proposed expert
system facilitates different components including decision support module with
interactive user interfaces for diagnosis on the basis of response(s) of the user
made against the queries related to particular disease symptoms. ESTA
programming is based on logic programming approach. The system integrates a
structured knowledge base that contains knowledge about symptoms and
remedies of diseases in the rice plant appearing during their life span. An image
database is also integrated with the system for making the decision support more
interactive. The pictures related to disease symptoms are stored in the picture
database and the intelligent system module prompts these with the interface
based on rule based decision making algorithms. The system has been tested
with domain dataset, and results given by the system have been validated with
domain experts. |
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| 1 |
Rajkishore Prasad, Kumar Rajeev Ranjan, and A.K. Sinha, “AMRAPALIKA: An expert system for the diagnosis of pests, diseases, disorders in Indian mango,” Knowl.-Based Syst. 19(1): 9- 21 (2006).
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Fahad Shahbaz Khan, Saad Razzaq, Kashif Irfan, Fahad Maqbool, Ahmad Farid, Inam Illahi, and Tauqeer ul amin, “Dr. Wheat: A Web-based Expert System for Diagnosis of Diseases and Pests in Pakistani Wheat,” Proceedings of the World Congress on Engineering 2008 Vol. I
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Ahmed Rafea, “Expert System Applications: Agriculture,” Central Laboratory for Agricultural Expert Systems, P.O.Box 100 Dokki Giza, Egypt.
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Ganesan V., “Decision Support System “Crop-9-DSS” for Identified Crops”, Proceedings of World Academy of Science, Engineering and Technology Volume 12 March 2006 ISSN 1307- 6884 PWASET Volume
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S.S.Patil, B.V.Dhandra, U.B.Angadi, A.G.Shankar, and Neena Joshi, “Web based Expert System for Diagnosis of Micro Nutrients Deficiencies in Crops”, Proceedings of the World Congress on Engineering and Computer Science 2009 Vol I WCECS 2009, October 20-22, 2009, San Francisco, USA.
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W. H. Reissig, E. A. Heinrichs, J. A. Litsinger, K. Moody, L. Fiedler, T. W. Mew, and A.T. Barrion, “Illustrated guide to integrated pest management in rice in tropical Asia”, International Rice Research Institute, Los Banos, Laguna, Philippines, P.O.Box 933, Manila, Philippines.
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Francisco Elazegui, and Zahirul Islam, “Diagnosis of common diseases of rice,” © 2003, International Rice Research Institute.
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