Agriculture 5.0 and Explainable AI for Smart Agriculture: A Scoping Review

Siti Fatimah Abdul Razak (Faculty of Information Science and Technology, Multimedia University, Melaka 75450,)
Sumendra Yogarayan (Faculty of Information Science and Technology, Multimedia University, Melaka 75450,)
Md Shohel Sayeed (Faculty of Information Science and Technology, Multimedia University, Melaka 75450,)
Muhammad Izzat Faiz Mohd Derafi (Faculty of Information Science and Technology, Multimedia University, Melaka 75450,)

Emerging Science Journal
Vol 8, No 2 (2024): April

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. Doi: 10.28991/ESJ-2024-08-02-024 Full Text: PDF