A Foresight Study of Artificial Intelligence in the Agriculture Sector in Malaysia

Agriculture is one of important sector in Malaysia which contribute to the national GDP and provide employment for the society. Agriculture sector also has become the focus of the rural development programs. However, economic diversification has recently shifted the focus from agriculture to manufac...

Full description

Saved in:
Bibliographic Details
Main Authors: Rodzalan, Shazaitul Azreen, Ong, Guan Yin, Mohd Noor, Noor Nazihah
Format: Article
Language:English
Published: Journal of Critical Reviews 2020
Subjects:
Online Access:http://eprints.uthm.edu.my/6610/1/AJ%202020%20%28409%29.pdf
http://eprints.uthm.edu.my/6610/
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Tun Hussein Onn Malaysia
Language: English
id my.uthm.eprints.6610
record_format eprints
spelling my.uthm.eprints.66102022-03-10T02:48:59Z http://eprints.uthm.edu.my/6610/ A Foresight Study of Artificial Intelligence in the Agriculture Sector in Malaysia Rodzalan, Shazaitul Azreen Ong, Guan Yin Mohd Noor, Noor Nazihah T Technology (General) Q350-390 Information theory Agriculture is one of important sector in Malaysia which contribute to the national GDP and provide employment for the society. Agriculture sector also has become the focus of the rural development programs. However, economic diversification has recently shifted the focus from agriculture to manufacturing and services sector. A comprehensive reform is needed by adopting smart farming to revitalize Malaysia’s agriculture sector. Therefore, the aim of the research is to identify the issues, drivers and future trends of Artificial Intelligence (AI) in the agriculture sector in Malaysia. This research used foresight tool such as STEEPV to identify the issues and drivers. Questionnaires were distributed to the respondents who were farmers in Johor. Based on the data collection, 150 out of 380 respondents had answered the questionnaire. The findings showed the technological factor has the highest frequency compare to other five factors. A total nine major issues and drivers were also identified. From the impact-uncertainty analysis, the top two drivers which were replacement of employees and productivity enhancement and optimize economic had chosen. The top two drivers were used to develop scenario analysis. The scenario analysis included market expand, shortage of manpower, wastage of resources and impede development. This research gives benefits to agriculture sector, farmers and the consumers. This research also gives a foresight of the trends that may happen in the future. This research can helps to increase the quality of life, develop technologies and innovation, growth of economic and environmental friendly. Journal of Critical Reviews 2020 Article PeerReviewed text en http://eprints.uthm.edu.my/6610/1/AJ%202020%20%28409%29.pdf Rodzalan, Shazaitul Azreen and Ong, Guan Yin and Mohd Noor, Noor Nazihah (2020) A Foresight Study of Artificial Intelligence in the Agriculture Sector in Malaysia. International Journal of Advanced Science and Technology, 29 (6). pp. 447-462. ISSN 2005-4238
institution Universiti Tun Hussein Onn Malaysia
building UTHM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tun Hussein Onn Malaysia
content_source UTHM Institutional Repository
url_provider http://eprints.uthm.edu.my/
language English
topic T Technology (General)
Q350-390 Information theory
spellingShingle T Technology (General)
Q350-390 Information theory
Rodzalan, Shazaitul Azreen
Ong, Guan Yin
Mohd Noor, Noor Nazihah
A Foresight Study of Artificial Intelligence in the Agriculture Sector in Malaysia
description Agriculture is one of important sector in Malaysia which contribute to the national GDP and provide employment for the society. Agriculture sector also has become the focus of the rural development programs. However, economic diversification has recently shifted the focus from agriculture to manufacturing and services sector. A comprehensive reform is needed by adopting smart farming to revitalize Malaysia’s agriculture sector. Therefore, the aim of the research is to identify the issues, drivers and future trends of Artificial Intelligence (AI) in the agriculture sector in Malaysia. This research used foresight tool such as STEEPV to identify the issues and drivers. Questionnaires were distributed to the respondents who were farmers in Johor. Based on the data collection, 150 out of 380 respondents had answered the questionnaire. The findings showed the technological factor has the highest frequency compare to other five factors. A total nine major issues and drivers were also identified. From the impact-uncertainty analysis, the top two drivers which were replacement of employees and productivity enhancement and optimize economic had chosen. The top two drivers were used to develop scenario analysis. The scenario analysis included market expand, shortage of manpower, wastage of resources and impede development. This research gives benefits to agriculture sector, farmers and the consumers. This research also gives a foresight of the trends that may happen in the future. This research can helps to increase the quality of life, develop technologies and innovation, growth of economic and environmental friendly.
format Article
author Rodzalan, Shazaitul Azreen
Ong, Guan Yin
Mohd Noor, Noor Nazihah
author_facet Rodzalan, Shazaitul Azreen
Ong, Guan Yin
Mohd Noor, Noor Nazihah
author_sort Rodzalan, Shazaitul Azreen
title A Foresight Study of Artificial Intelligence in the Agriculture Sector in Malaysia
title_short A Foresight Study of Artificial Intelligence in the Agriculture Sector in Malaysia
title_full A Foresight Study of Artificial Intelligence in the Agriculture Sector in Malaysia
title_fullStr A Foresight Study of Artificial Intelligence in the Agriculture Sector in Malaysia
title_full_unstemmed A Foresight Study of Artificial Intelligence in the Agriculture Sector in Malaysia
title_sort foresight study of artificial intelligence in the agriculture sector in malaysia
publisher Journal of Critical Reviews
publishDate 2020
url http://eprints.uthm.edu.my/6610/1/AJ%202020%20%28409%29.pdf
http://eprints.uthm.edu.my/6610/
_version_ 1738581512692957184