Classification of flower plant diseases by using Rule Based technique / ‘Arifah Diyana Ahmad Rubaa’i

The objective this research was to classify flower plant diseases by implementing Rule Based technique. There were several types of flower plants and diseases were conducted for this research which were six types of flower plants and seven types of diseases. Orchid, Hibiscus, Sunflower, Roses, Dayli...

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Main Author: Ahmad Rubaa’i, ‘Arifah Diyana
Format: Student Project
Language:English
Published: Faculty of Computer and Mathematical Sciences 2017
Subjects:
Online Access:http://ir.uitm.edu.my/id/eprint/18093/
http://ir.uitm.edu.my/id/eprint/18093/1/PPb_%E2%80%98ARIFAH%20DIYANA%20AHMAD%20RUBAA%27I%20CS%2017_5.pdf
id uitm-18093
recordtype eprints
spelling uitm-180932018-06-07T03:11:46Z http://ir.uitm.edu.my/id/eprint/18093/ Classification of flower plant diseases by using Rule Based technique / ‘Arifah Diyana Ahmad Rubaa’i Ahmad Rubaa’i, ‘Arifah Diyana Mathematical statistics. Probabilities Analysis The objective this research was to classify flower plant diseases by implementing Rule Based technique. There were several types of flower plants and diseases were conducted for this research which were six types of flower plants and seven types of diseases. Orchid, Hibiscus, Sunflower, Roses, Daylily and Jasmine were the six types of flower plant while black spot, insects, leaf spot, mildew, microorganism, rust and sooty mold were the diseases that are covered in this research. This system consisted of two users or actors which interact within it which were the owner of Rumpun Damai Nursery itself and the staff. Currently, the management of the nursery regarding the diseases infected to the plant are unorganized. This was because of some factors such as lack of knowledge regarding the flower plant diseases among the owner and staff at the nursery. Therefore, in order to solved those problem, the objective have been identified that lead to the conducting of this research. This classification system can help the owner and staff at Rumpun Damai Nursery to identify flower plant diseases. In order to apply Rule Based technique in this research, the data regarding the flower plant and diseases need to gathered first and undergo preprocessing method. The picture of flower plants that infected to diseases from the Nursery also undergo the image processing method by using Matlab tools to identify the attribute symptoms. This system applied Waterfall Model methodology as the framework to supervise all the process. The result of this research was a prototype system that can identified the diseases been infected by the flower plants with the list of symptoms showed the diseases. Faculty of Computer and Mathematical Sciences 2017 Student Project NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/18093/1/PPb_%E2%80%98ARIFAH%20DIYANA%20AHMAD%20RUBAA%27I%20CS%2017_5.pdf Ahmad Rubaa’i, ‘Arifah Diyana (2017) Classification of flower plant diseases by using Rule Based technique / ‘Arifah Diyana Ahmad Rubaa’i. [Student Project] (Unpublished)
repository_type Digital Repository
institution_category Local University
institution Universiti Teknologi MARA
building UiTM Institutional Repository
collection Online Access
language English
topic Mathematical statistics. Probabilities
Analysis
spellingShingle Mathematical statistics. Probabilities
Analysis
Ahmad Rubaa’i, ‘Arifah Diyana
Classification of flower plant diseases by using Rule Based technique / ‘Arifah Diyana Ahmad Rubaa’i
description The objective this research was to classify flower plant diseases by implementing Rule Based technique. There were several types of flower plants and diseases were conducted for this research which were six types of flower plants and seven types of diseases. Orchid, Hibiscus, Sunflower, Roses, Daylily and Jasmine were the six types of flower plant while black spot, insects, leaf spot, mildew, microorganism, rust and sooty mold were the diseases that are covered in this research. This system consisted of two users or actors which interact within it which were the owner of Rumpun Damai Nursery itself and the staff. Currently, the management of the nursery regarding the diseases infected to the plant are unorganized. This was because of some factors such as lack of knowledge regarding the flower plant diseases among the owner and staff at the nursery. Therefore, in order to solved those problem, the objective have been identified that lead to the conducting of this research. This classification system can help the owner and staff at Rumpun Damai Nursery to identify flower plant diseases. In order to apply Rule Based technique in this research, the data regarding the flower plant and diseases need to gathered first and undergo preprocessing method. The picture of flower plants that infected to diseases from the Nursery also undergo the image processing method by using Matlab tools to identify the attribute symptoms. This system applied Waterfall Model methodology as the framework to supervise all the process. The result of this research was a prototype system that can identified the diseases been infected by the flower plants with the list of symptoms showed the diseases.
format Student Project
author Ahmad Rubaa’i, ‘Arifah Diyana
author_facet Ahmad Rubaa’i, ‘Arifah Diyana
author_sort Ahmad Rubaa’i, ‘Arifah Diyana
title Classification of flower plant diseases by using Rule Based technique / ‘Arifah Diyana Ahmad Rubaa’i
title_short Classification of flower plant diseases by using Rule Based technique / ‘Arifah Diyana Ahmad Rubaa’i
title_full Classification of flower plant diseases by using Rule Based technique / ‘Arifah Diyana Ahmad Rubaa’i
title_fullStr Classification of flower plant diseases by using Rule Based technique / ‘Arifah Diyana Ahmad Rubaa’i
title_full_unstemmed Classification of flower plant diseases by using Rule Based technique / ‘Arifah Diyana Ahmad Rubaa’i
title_sort classification of flower plant diseases by using rule based technique / ‘arifah diyana ahmad rubaa’i
publisher Faculty of Computer and Mathematical Sciences
publishDate 2017
url http://ir.uitm.edu.my/id/eprint/18093/
http://ir.uitm.edu.my/id/eprint/18093/1/PPb_%E2%80%98ARIFAH%20DIYANA%20AHMAD%20RUBAA%27I%20CS%2017_5.pdf
first_indexed 2023-09-18T22:59:45Z
last_indexed 2023-09-18T22:59:45Z
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