Citation

Abdul Razak, Siti Fatimah and Yogarayan, Sumendra and Sayeed, Md. Shohel and Mohd Derafi, Muhammad Izzat Faiz (2024) Agriculture 5.0 and Explainable AI for Smart Agriculture: A Scoping Review. Emerging Science Journal, 8 (2). pp. 744-760. ISSN 2610-9182

Text Agriculture 5.0 and Explainable AI for Smart Agriculture_ A Scoping Review _ Abdul Razak _ Emerging Science Journal.pdf - Published Version Restricted to Repository staff only Download (3MB)

Abstract

The visionary paradigm of Agriculture 5.0 integrates Industry 4.0 principles into agricultural practices. Our scoping review explores the landscape of Agriculture 5.0, emphasizing the pivotal role of Explainable AI (XAI) in shaping this domain. Guided by the Preferred Reporting Items for Systematic Review and Meta-Analysis Scoping Review, we rigorously analyzed 84 articles published from 2018 to September 2023. Our findings highlight XAI’s potential within Agriculture 5.0, recognizing its influence on intelligent farming. We propose a conceptual framework for integrating XAI, emphasizing its impact on model transparency and user trust. Despite transformative applications, existing literature often lacks XAI discussions. Our objective is to bridge this gap and provide a reference for academics, practitioners, policymakers, and educators in the field of smart agriculture that is both environmentally friendly and technologically advanced.

Item Type:	Article
Uncontrolled Keywords:	Agriculture
Subjects:	H Social Sciences > HD Industries. Land use. Labor > HD1401-2210 Agriculture > HD1491-1491.5 Cooperative agriculture
Divisions:	Faculty of Information Science and Technology (FIST)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	28 May 2024 07:18
Last Modified:	28 May 2024 07:18
URII:	http://shdl.mmu.edu.my/id/eprint/12447

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