Intelligent Mobile Paddy Diseases Using Fuzzy Temporal Information

Paddy (Rice) cultivation is the major food crop enterprise in Malaysia. Numerous diseases of paddy have been found in paddy field cause considerable crop losses field. For example, Rice Tungro Disease can destroy up to 90 Percent of the rice crop during growing seasons. Therefore, there is an urgent...

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Main Author: Abdulrahman Imhmed, Essa Abubaker
Format: Thesis
Language:eng
eng
Published: 2006
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Online Access:https://etd.uum.edu.my/1833/1/Essa_Abubaker_Abdulrahman_Imhmed-_Intelligent_mobile_paddy_diseases_using_fuzzy_temporal_information.pdf
https://etd.uum.edu.my/1833/2/Essa_Abubaker_Abdulrahman_Imhmed-_Intelligent_mobile_paddy_diseases_using_fuzzy_temporal_information.pdf
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id my-uum-etd.1833
record_format uketd_dc
institution Universiti Utara Malaysia
collection UUM ETD
language eng
eng
topic QA76.76 Fuzzy System.
spellingShingle QA76.76 Fuzzy System.
Abdulrahman Imhmed, Essa Abubaker
Intelligent Mobile Paddy Diseases Using Fuzzy Temporal Information
description Paddy (Rice) cultivation is the major food crop enterprise in Malaysia. Numerous diseases of paddy have been found in paddy field cause considerable crop losses field. For example, Rice Tungro Disease can destroy up to 90 Percent of the rice crop during growing seasons. Therefore, there is an urgent need to predict them in the early stages, so that fast and effective control measures can be taken to avoid diseases outbreaks. This study led to the development of intelligent mobile Paddy diseases detection system using fuzzy temporal information to early predict the paddy diseases. Fuzzy Set theory is used to represent the cases in fuzzy concept format while Case-Based Reasoning (CBR) is used to retrieve similar cases. Real data which cover historical cases of several aspects of paddy diseases were used. The prototype in predicting the diseases confirms the perfection and efficiency.
format Thesis
qualification_name masters
qualification_level Master's degree
author Abdulrahman Imhmed, Essa Abubaker
author_facet Abdulrahman Imhmed, Essa Abubaker
author_sort Abdulrahman Imhmed, Essa Abubaker
title Intelligent Mobile Paddy Diseases Using Fuzzy Temporal Information
title_short Intelligent Mobile Paddy Diseases Using Fuzzy Temporal Information
title_full Intelligent Mobile Paddy Diseases Using Fuzzy Temporal Information
title_fullStr Intelligent Mobile Paddy Diseases Using Fuzzy Temporal Information
title_full_unstemmed Intelligent Mobile Paddy Diseases Using Fuzzy Temporal Information
title_sort intelligent mobile paddy diseases using fuzzy temporal information
granting_institution Universiti Utara Malaysia
granting_department Centre for Graduate Studies
publishDate 2006
url https://etd.uum.edu.my/1833/1/Essa_Abubaker_Abdulrahman_Imhmed-_Intelligent_mobile_paddy_diseases_using_fuzzy_temporal_information.pdf
https://etd.uum.edu.my/1833/2/Essa_Abubaker_Abdulrahman_Imhmed-_Intelligent_mobile_paddy_diseases_using_fuzzy_temporal_information.pdf
_version_ 1747827214173339648
spelling my-uum-etd.18332013-07-24T12:13:20Z Intelligent Mobile Paddy Diseases Using Fuzzy Temporal Information 2006 Abdulrahman Imhmed, Essa Abubaker Centre for Graduate Studies Centre for Graduate Studies QA76.76 Fuzzy System. Paddy (Rice) cultivation is the major food crop enterprise in Malaysia. Numerous diseases of paddy have been found in paddy field cause considerable crop losses field. For example, Rice Tungro Disease can destroy up to 90 Percent of the rice crop during growing seasons. Therefore, there is an urgent need to predict them in the early stages, so that fast and effective control measures can be taken to avoid diseases outbreaks. This study led to the development of intelligent mobile Paddy diseases detection system using fuzzy temporal information to early predict the paddy diseases. Fuzzy Set theory is used to represent the cases in fuzzy concept format while Case-Based Reasoning (CBR) is used to retrieve similar cases. Real data which cover historical cases of several aspects of paddy diseases were used. The prototype in predicting the diseases confirms the perfection and efficiency. 2006 Thesis https://etd.uum.edu.my/1833/ https://etd.uum.edu.my/1833/1/Essa_Abubaker_Abdulrahman_Imhmed-_Intelligent_mobile_paddy_diseases_using_fuzzy_temporal_information.pdf application/pdf eng validuser https://etd.uum.edu.my/1833/2/Essa_Abubaker_Abdulrahman_Imhmed-_Intelligent_mobile_paddy_diseases_using_fuzzy_temporal_information.pdf application/pdf eng public masters masters Universiti Utara Malaysia Ala-Kleemola, T., & Merta, M., & Visa, A. & Johansson, P. (2005). Case Based Reasoning Approach to Automatic Comparison of Models. Information Fusion, 2005 8th International Conference On. IEEE (Pp.5. Vo1.2).(IEEE Document Reproduction Service No. 10.1 109/ICIF.2005.159 1970). Azizi, A., Hussain, A. & Shafe, M. (2006). Intelligent Mobile Systems for Agriculture and Medicine. 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