Wan Nor Munirah Ariffin

Wan Nor Munirah Ariffin

Preferred name

Wan Nor Munirah Ariffin

Official Name

Wan Nor Munirah, Ariffin

Alternative Name

Munirah, Wan Nor

Ariffin, Wan Nor Munirah

Ariffin, W. N.M

Main Affiliation

Universiti Malaysia Perlis

Scopus Author ID

56442390400

Researcher ID

FMB-9023-2022

Research Output

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Bioeconomy sustainability integrating circular economy principles with big data and IoT for sustainable farming in agriculture 4.0

( 2024-07)
Ahmad Tajudin Baharin
;
Noormaizatul Akmar Ishak
;
Nurulisma Hj Ismail
;
Mohd Fisol Osman
;
Evawaynie Valquis Md. Isa
;
Wan Nor Munirah Ariffin

This concept paper explores the synergy between Bioeconomy sustainability and advanced technologies, specifically the integration of circular economy principles with big data and the Internet of Things (IoT), in the context of sustainable farming within Agriculture 4.0 in Malaysia. Despite limited understanding, the study aims to unveil the potential benefits of this integration and assess the current state of technology adoption, bioeconomic practices, and sustainable farming in Malaysia. Challenges faced by Malaysian farmers, such as awareness gaps and resistance to change, are identified, and strategies, including targeted education and financial incentives, are proposed to overcome these barriers. While acknowledging potential limitations in universality due to data access constraints and the dynamic nature of technology and agriculture, the study emphasizes the importance of integrating these innovative approaches to propel Malaysian agriculture toward sustainability within the Agriculture 4.0 framework.
Review Study of Image De-Noising on Digital Image Processing and Applications

( 2023-03-01)
Abdulah C.S.K.
;
Mohamad Nur Khairul Hafizi Rohani
;
Baharuddin Ismail
;
Mohd Annuar Mohd Isa
;
Afifah Shuhada Rosmi
;
Wan Azani Wan Mustafa
;
Ahmad Zaidi Abdullah
;
Wan Nor Munirah Ariffin
;
Jamil M.K.M.

This paper reviews several studies of image de-noising on digital image processing and applications. Noisy images contain different noise that exist either due to environment or electronic interferences. Ergo, de-noising is crucial to eliminate the noise that disturb data collecting process. The impact of de-noising on image processing can result for accurate and precise data collected from the image. Additionally, de-noising process required several crucial steps that help to enhance knowledge on digital image and its application. Hence, study and understanding de-noising can improve multiple aspect such as image quality, data sensitivity and specificity, accuracy of the collected data, and increase the percentage of each parameter.

1

Wan Nor Munirah Ariffin

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Wan Nor Munirah Ariffin

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