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Predicting Production of Crude Palm Oil Based on Weather Attributes

In hydrological cycle, water is the important source for rainfall forecasting. Hence,rainfall forecasting becomes a critical issue in equatorial country like Malaysia. Rainfall can affect environment and plantation activities and agriculture in Malaysia.In Malaysia,Meteorological Department collect...

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Main Author: Ong, Ei Lin
Format: Thesis
Language:English
English
Published: 2009
Subjects:
QA299.6-433 Analysis
Online Access:http://etd.uum.edu.my/1576/1/Ong_Ei_Lin.pdf
http://etd.uum.edu.my/1576/2/1.Ong_Ei_Lin.pdf
http://etd.uum.edu.my/1576/
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spelling my.uum.etd.15762013-07-24T12:12:23Z http://etd.uum.edu.my/1576/ Predicting Production of Crude Palm Oil Based on Weather Attributes Ong, Ei Lin QA299.6-433 Analysis In hydrological cycle, water is the important source for rainfall forecasting. Hence,rainfall forecasting becomes a critical issue in equatorial country like Malaysia. Rainfall can affect environment and plantation activities and agriculture in Malaysia.In Malaysia,Meteorological Department collects weather information for each state in Malaysia.Rainfall prediction is important because it can produces the useful information to the palm oil production and recommending appropriate prevention climate change such as floods warning advise as well as managing water resource operations. For instances,Malaysian Palm Oil Board (MPOB) has given a lot of information about the palm oil production and its effect due to the climate changes. In this study, the analysis on weather data from the year 1996-2005 for five states such as Kedah, Kelantan, Malacca, Penang and Perak was carried out. In the initial study, regression analysis has been conducted to determine the relationship of the weather attributes and palm oil variable such as Fresh Fruit Bunches, Oil Extraction Rate and Crude Palm Oil production. However, the results were not so encouraging, therefore CBR approach has been attempted to solve the current problem then reuse the information and knowledge based that have been stored in the cases. The similarity measurement can be determined effectively between cases.Therefore, similarity measurement between cases in the rainfall and palm oil case base is the important element in CBR. The performance of each similarity measure is evaluated based on attribute’s weight, and classification accuracy, In general, the similarity values achieved at most is 99.33%. 2009 Thesis NonPeerReviewed application/pdf en http://etd.uum.edu.my/1576/1/Ong_Ei_Lin.pdf application/pdf en http://etd.uum.edu.my/1576/2/1.Ong_Ei_Lin.pdf Ong, Ei Lin (2009) Predicting Production of Crude Palm Oil Based on Weather Attributes. Masters thesis, Universiti Utara Malaysia.
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Electronic Theses
url_provider http://etd.uum.edu.my/
language English
English
topic QA299.6-433 Analysis
spellingShingle QA299.6-433 Analysis
Ong, Ei Lin
Predicting Production of Crude Palm Oil Based on Weather Attributes
description In hydrological cycle, water is the important source for rainfall forecasting. Hence,rainfall forecasting becomes a critical issue in equatorial country like Malaysia. Rainfall can affect environment and plantation activities and agriculture in Malaysia.In Malaysia,Meteorological Department collects weather information for each state in Malaysia.Rainfall prediction is important because it can produces the useful information to the palm oil production and recommending appropriate prevention climate change such as floods warning advise as well as managing water resource operations. For instances,Malaysian Palm Oil Board (MPOB) has given a lot of information about the palm oil production and its effect due to the climate changes. In this study, the analysis on weather data from the year 1996-2005 for five states such as Kedah, Kelantan, Malacca, Penang and Perak was carried out. In the initial study, regression analysis has been conducted to determine the relationship of the weather attributes and palm oil variable such as Fresh Fruit Bunches, Oil Extraction Rate and Crude Palm Oil production. However, the results were not so encouraging, therefore CBR approach has been attempted to solve the current problem then reuse the information and knowledge based that have been stored in the cases. The similarity measurement can be determined effectively between cases.Therefore, similarity measurement between cases in the rainfall and palm oil case base is the important element in CBR. The performance of each similarity measure is evaluated based on attribute’s weight, and classification accuracy, In general, the similarity values achieved at most is 99.33%.
format Thesis
author Ong, Ei Lin
author_facet Ong, Ei Lin
author_sort Ong, Ei Lin
title Predicting Production of Crude Palm Oil Based on Weather Attributes
title_short Predicting Production of Crude Palm Oil Based on Weather Attributes
title_full Predicting Production of Crude Palm Oil Based on Weather Attributes
title_fullStr Predicting Production of Crude Palm Oil Based on Weather Attributes
title_full_unstemmed Predicting Production of Crude Palm Oil Based on Weather Attributes
title_sort predicting production of crude palm oil based on weather attributes
publishDate 2009
url http://etd.uum.edu.my/1576/1/Ong_Ei_Lin.pdf
http://etd.uum.edu.my/1576/2/1.Ong_Ei_Lin.pdf
http://etd.uum.edu.my/1576/
_version_ 1644276474404929536
score 13.211869

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