Movices architecture for meliponiculture diagnostic application system development

Stingless beekeeping or meliponiculture is a growing phenomenon in Malaysia. It has a bright prospect in the agriculture sector where farmers can generate high income from it. Stingless beekeepers currently face problems in rehabilitating weakened stingless bee colonies, which they failed to rehabil...

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Main Author:	Mohd Yasar, Izatul Lail
Format:	Thesis
Language:	English
Published:	2021
Subjects:	Stingless bees Borescopes Software architecture
Online Access:	http://psasir.upm.edu.my/id/eprint/98016/1/FSKTM%202021%201%20-%20IR.1.pdf
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id	my-upm-ir.98016
record_format	uketd_dc
spelling	my-upm-ir.980162022-11-08T04:01:01Z Movices architecture for meliponiculture diagnostic application system development 2021-04 Mohd Yasar, Izatul Lail Stingless beekeeping or meliponiculture is a growing phenomenon in Malaysia. It has a bright prospect in the agriculture sector where farmers can generate high income from it. Stingless beekeepers currently face problems in rehabilitating weakened stingless bee colonies, which they failed to rehabilitate most of these colonies. It is vital to have effective aids to help them to rehabilitate the weakened colonies. Hence, this study aimed to determine an appropriate borescope-based diagnostic application system, Dr. Kelulut, to rehabilitate domesticated stingless bee colonies in Malaysia. Due to this, an investigation on the effectiveness of weakened colonies rehabilitation in Malaysia was conducted. Interviews, nest inspection experiments and the development of Dr. Kelulut were carried out to achieve the study objectives. The Model-View-Controller (MVC) framework for expert system (MoViCES) architecture had been developed and used for Dr. Kelulut. This expert system verified the usability of MoViCES architecture. The system's structure can be illustrated in one diagram instead of two different diagrams from this architecture. The study finds that the effective technique for stingless bee hive inspection using a borescope is minimal surgery. Any symptoms found from the inspection can be diagnosed through Dr. Kelulut. Based on correctness evaluation, the diagnosis function of Dr. Kelulut is 81.7%. It shows that this system is most of the time identifying the colony problem correctly. The study concludes that the MoViCES architecture is useful in expert system development. The borescope inspection technique and Dr. Kelulut are effective combination diagnostic tools for rehabilitating domesticated stingless bee colonies in Malaysia. By using the combination tool, stingless beekeepers can prevent the stingless bee colonies from collapsing. Further, the weakened stingless bee colonies can be effectively rehabilitated. Therefore, it is highly suggested that the combination of the inspection technique and Dr. Kelulut should be introduced to the stingless beekeepers in Malaysia. Stingless bees Borescopes Software architecture 2021-04 Thesis http://psasir.upm.edu.my/id/eprint/98016/ http://psasir.upm.edu.my/id/eprint/98016/1/FSKTM%202021%201%20-%20IR.1.pdf text en public masters Universiti Putra Malaysia Stingless bees Borescopes Software architecture Nor, Rozi Nor Haizan
institution	Universiti Putra Malaysia
collection	PSAS Institutional Repository
language	English
advisor	Nor, Rozi Nor Haizan
topic	Stingless bees Borescopes Software architecture
spellingShingle	Stingless bees Borescopes Software architecture Mohd Yasar, Izatul Lail Movices architecture for meliponiculture diagnostic application system development
description	Stingless beekeeping or meliponiculture is a growing phenomenon in Malaysia. It has a bright prospect in the agriculture sector where farmers can generate high income from it. Stingless beekeepers currently face problems in rehabilitating weakened stingless bee colonies, which they failed to rehabilitate most of these colonies. It is vital to have effective aids to help them to rehabilitate the weakened colonies. Hence, this study aimed to determine an appropriate borescope-based diagnostic application system, Dr. Kelulut, to rehabilitate domesticated stingless bee colonies in Malaysia. Due to this, an investigation on the effectiveness of weakened colonies rehabilitation in Malaysia was conducted. Interviews, nest inspection experiments and the development of Dr. Kelulut were carried out to achieve the study objectives. The Model-View-Controller (MVC) framework for expert system (MoViCES) architecture had been developed and used for Dr. Kelulut. This expert system verified the usability of MoViCES architecture. The system's structure can be illustrated in one diagram instead of two different diagrams from this architecture. The study finds that the effective technique for stingless bee hive inspection using a borescope is minimal surgery. Any symptoms found from the inspection can be diagnosed through Dr. Kelulut. Based on correctness evaluation, the diagnosis function of Dr. Kelulut is 81.7%. It shows that this system is most of the time identifying the colony problem correctly. The study concludes that the MoViCES architecture is useful in expert system development. The borescope inspection technique and Dr. Kelulut are effective combination diagnostic tools for rehabilitating domesticated stingless bee colonies in Malaysia. By using the combination tool, stingless beekeepers can prevent the stingless bee colonies from collapsing. Further, the weakened stingless bee colonies can be effectively rehabilitated. Therefore, it is highly suggested that the combination of the inspection technique and Dr. Kelulut should be introduced to the stingless beekeepers in Malaysia.
format	Thesis
qualification_level	Master's degree
author	Mohd Yasar, Izatul Lail
author_facet	Mohd Yasar, Izatul Lail
author_sort	Mohd Yasar, Izatul Lail
title	Movices architecture for meliponiculture diagnostic application system development
title_short	Movices architecture for meliponiculture diagnostic application system development
title_full	Movices architecture for meliponiculture diagnostic application system development
title_fullStr	Movices architecture for meliponiculture diagnostic application system development
title_full_unstemmed	Movices architecture for meliponiculture diagnostic application system development
title_sort	movices architecture for meliponiculture diagnostic application system development
granting_institution	Universiti Putra Malaysia
publishDate	2021
url	http://psasir.upm.edu.my/id/eprint/98016/1/FSKTM%202021%201%20-%20IR.1.pdf
_version_	1776100280952160256

Movices architecture for meliponiculture diagnostic application system development

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