Intelligent Paddy Disease Diagnosis System Using Case-Based Reasoning

Case-based reasoning (CBR) ia a recent approach to problem solving and learning that has got a lot of attention over the last few years. Case-based is an innovative technology that enables the implementation of 'intelligent' functions in embedded systems. It has been implemented in diffe...

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Main Author:	Hasnatul Nazuha, Hassan
Format:	Thesis
Language:	eng eng
Published:	2004
Subjects:	QA76.76 Fuzzy System.
Online Access:	https://etd.uum.edu.my/1198/1/HASNATUL_NAZUHA_HASSAN.pdf https://etd.uum.edu.my/1198/2/1.HASNATUL_NAZUHA_HASSAN.pdf
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id	my-uum-etd.1198
record_format	uketd_dc
institution	Universiti Utara Malaysia
collection	UUM ETD
language	eng eng
topic	QA76.76 Fuzzy System.
spellingShingle	QA76.76 Fuzzy System. Hasnatul Nazuha, Hassan Intelligent Paddy Disease Diagnosis System Using Case-Based Reasoning
description	Case-based reasoning (CBR) ia a recent approach to problem solving and learning that has got a lot of attention over the last few years. Case-based is an innovative technology that enables the implementation of 'intelligent' functions in embedded systems. It has been implemented in different kind of domain and area. In this study, we will look at the development and design of intelligent paddy disease diagnosis system using case-based reasoning technique.
format	Thesis
qualification_name	masters
qualification_level	Master's degree
author	Hasnatul Nazuha, Hassan
author_facet	Hasnatul Nazuha, Hassan
author_sort	Hasnatul Nazuha, Hassan
title	Intelligent Paddy Disease Diagnosis System Using Case-Based Reasoning
title_short	Intelligent Paddy Disease Diagnosis System Using Case-Based Reasoning
title_full	Intelligent Paddy Disease Diagnosis System Using Case-Based Reasoning
title_fullStr	Intelligent Paddy Disease Diagnosis System Using Case-Based Reasoning
title_full_unstemmed	Intelligent Paddy Disease Diagnosis System Using Case-Based Reasoning
title_sort	intelligent paddy disease diagnosis system using case-based reasoning
granting_institution	Universiti Utara Malaysia
granting_department	Faculty of Information Technology
publishDate	2004
url	https://etd.uum.edu.my/1198/1/HASNATUL_NAZUHA_HASSAN.pdf https://etd.uum.edu.my/1198/2/1.HASNATUL_NAZUHA_HASSAN.pdf
_version_	1747827093582905344
spelling	my-uum-etd.11982013-07-24T12:10:53Z Intelligent Paddy Disease Diagnosis System Using Case-Based Reasoning 2004 Hasnatul Nazuha, Hassan Faculty of Information Technology Faculty of Information Technology QA76.76 Fuzzy System. Case-based reasoning (CBR) ia a recent approach to problem solving and learning that has got a lot of attention over the last few years. Case-based is an innovative technology that enables the implementation of 'intelligent' functions in embedded systems. It has been implemented in different kind of domain and area. In this study, we will look at the development and design of intelligent paddy disease diagnosis system using case-based reasoning technique. 2004 Thesis https://etd.uum.edu.my/1198/ https://etd.uum.edu.my/1198/1/HASNATUL_NAZUHA_HASSAN.pdf application/pdf eng validuser https://etd.uum.edu.my/1198/2/1.HASNATUL_NAZUHA_HASSAN.pdf application/pdf eng public masters masters Universiti Utara Malaysia Aamodt, A, (1994). Explaination-Drive Case-based Reasoning, In S. Wess, K. Althoff and M. Richter: Case-based Reasoning, pp. 274-288 Althoff, K-D. and Bergrnann, R. (1998). Case Base Reasoning for Medical Decision Support Tasks: The INREC A Approach, Artificial Intelligence in Medical Journal, Vol . Brown, J. K. M. (2002). Yield Penalties of Disease Resistance in Crops, In Journnl of Current Opinion in Plant Biology 2002, Vol. 5, pp. 339-344 Chin, K. M. and Arnin, S. M. (1986). Diseases of Rice in Malaysia, Kementerian Pertanian Malaysia, Kuala Lumpur Compton, P. and Jansen, R. (1989). A philosophical basis for knowledge acquisition.EKAW 89, Third European Workshop on Knowledge Acquisition for Knowledge-Based system, pp.75-89. Costas, T., & Kashyap (1993). Case-Based Reasoning and Learning in Manufacturing with TOTLEC Planner. IEEE Transactions on Systems, Man, and Cybernetics, 23(iv) July/August 1993. Duveiller, E., Bragard, C. and Maraite, H. (1994). 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Ecological Sustainability Of The Paddy Soil-Rice System in Asia, proceeding International Seminar On The Appropriate Use Of Fertilizers, pp.235-248 Kitano, H. (1993). Challenges for massive parallelism. IJCAI-93, Proceedings of the Thirteenth International Conference on Artificial Intelligence, pp. 813-834. Koike, S.T., Gaskell, M., Fouche, C., Smith, R. and Mitchell, J. (2000). Plant Disease Management for Organic Crops, UC ANR Publication 7252 Kolodner, J. (1992). Retrieving events from case memory: A parallel implementation. In Proceedings from the Case-bused Reasoning Workshop, pp. 233-249. Lopez, B. and Plaza, E. (1993). Case-based planning for medical diagnosis, In Journal of Methodologies for Intelligent Systems: 7th International Symposium, ISMIS'93, p.p 96-105. Masami Yamada (1998). Computer Network Systems in Agricultural Extension Service in Japan and its Usage in Fukui Prefecture, In Proceeding Agricultural Information Technology in Asia and Oceania, pp 15-18 Meissonnier, A. (1996). A Case-Based Information System for Case-Based Application and Systems Based on INRECA, AI/Expert System Group, University of Kaiserslautern Moi, C.Y. and Normah Ibrahim (1987). Risalah Pertanian Bil. 9c: Panduan Bergambar Bagi Penyakit-Penyakit Virus Pada Padi, Jabatan Pertanian Semenanjung Malaysia,Kuala Lumpur Muralidharan, K., Krishnaveni, D., Rajarajeshwari, N.V.L. and Prasad, A.S.R. (2003). Tungro Epidemic and Yield Losses in Paddy Field in India, Current Science, Vol. 85, No. 8, pp. 1143-1147 Naing, T.A.A., Thein, S.S., Finckh, M. and Buerkert, A. (2002). Effects of Increasing Cropping Intensity on Rice Production in Myanmar, In Proceeding of International Symposium Sustaining Food Securiy and Managing Natural Resource in Southeast Asia, pp. 27-37 Nanumaker, J. F., Chen, M. and Purdm, T. D. M. (1991). System Development in Information Systems Research, in Journal of Management Information Systems, Vol.7,NO.3, pp. 89-106 Nurul Ashikin bt. Mohd Noor (2002). Sistem Pakar Diagnosis Penyakit Padi, Tesis Sarjana Sains Teknologi Maklumat,Universiti Kebangsaan Malaysia, Bangi Porter, B. (1994). Similarity assessment; computation vs. representation. In Proceedings from the Case-Based Reasoning Workshop, May-June 1989, pp.82-84 Rao, J. P. (2002). Expert Systems In Agriculture, Artificial Intelligence Technology Applications and Management Proceedings of the 4th International Computing Congress, pp. 45-58 Reissing, W. H., Heinrichs, E.A., Litsinger, J.A., Moody, K., Fiedler, L.,Mew, T.W. and Bamon, A.T. (1986). Illustrated Guide to Integrated Pest Management in Rice in Tropical Asia, International Rice Research Institute, Manila, Philippines Richter, A.M. & Weiss, S. (1991). Similarity, uncertainty and case-based reasoning in PATDEX. In, Automated reasoning, essays in honour of Woody Bledsoe. Kluwer R.S. Boyer (ed.): pp249-265. Rosillawati Sulaiman, Siti Norul Huda Sheikh Abdullah, Mohammed Yusof, Azuraliza Abu Bakar, Shahrizan Razali, Noorashikin Mustafa Saad Abdullah and Nik Mohd Noor Nik Salleh (2003). The Development of Disease Diagnosis System in Paddy Plant (EPaddy), In Proceeding of The International Symposium on Information Technology, pp. 424-432 Salwani Abdullah and Mohamed Yusof (2000). The Usage of Expert System Approach in Agriculture, In Journul of Information Technology, UTM, pp. 67-72 Selvakumar Manickam and Syed Sibte Raza Abidi (1999). Experienced Based Medical Diagnostics System Over The World Wide We:b (WWW), Proceeding of The First National Conference on Artificial Intelligence Application in Industry, pp. 47-56 Spyropoulos, Some Aspects of developed On-line Training Means in Biomedical Technology Management, Chicago 2000, World Congress on Medical Physics and Biomedical Engineering, Chicago, IL, July 23-28, 2000, TU-E206-4. Watson, LD., & Abdullah, S. (1994). Developing Case-Based Reasoning Systems: A Case Study in Diagnosing Building Defects. In, Roc. IEE Colloquium on Case-Based Reasoning: Prospects for Applications, Digest No: 1994/057, pp.1/1-1/3. Xianglong Yuan (2004). Identification of Bacterial Pathogens Causing Panicle Blight of Rice in Louisiana, In Journal of plant Pathology and Crop Physiology, pp. 238-260 Zalmiyah Zakaria, Safaai Deris, and Md . Ridzuan Mukhtar. (1999). A Case-Based. Reasoning Approach for University Timetabling, Proceeding of The First National Conference on Artificial Intelligence Application in Industry, pp.145-161

Intelligent Paddy Disease Diagnosis System Using Case-Based Reasoning

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