Citation

Zaw, Thein Oak Kyaw and Sonai Muthu Anbananthen, Kalaiarasi and Muthaiyah, Saravanan and Balasubramaniam, Baarathi and Mohammad, Suraya and Yusoff, Yunus and Kalid, Khairul Shafee (2025) Adopting TOGAF Framework for Sustainable and Scalable Robusta Coffee Leaf Rust Management. Emerging Science Journal, 9 (3). pp. 1308-1321. ISSN 2610-9182

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Abstract

Robusta coffee (Coffea canephora) is a globally significant crop. However, managing Coffee Leaf Rust remains challenging due to the reliance on manual detection methods and the lack of structured technological integration. This study proposes a TOGAF-based framework as a scalable and adaptable solution for structuring Coffee Leaf Rust management strategies. The framework leverages enterprise architecture principles to integrate learning algorithms, image detection, and systematic plantation mapping within a structured approach that enhances data organization, rust severity visualization, and predictive analysis. The proposed framework provides a strategic roadmap for integrating technology into Coffee Leaf Rust detection and management by focusing on modularity, scalability, and stakeholder engagement. Unlike existing ad-hoc approaches, this framework is a foundation for future technology-driven solutions, balancing manual practices with structured digital adoption. As no prior research has combined TOGAF with agricultural disease management, this study presents a novel conceptual contribution that could guide future developments in smart agriculture. By adopting this framework, the Robusta coffee industry can move toward proactive, data-driven Coffee Leaf Rust management, fostering long-term resilience and productivity.

Item Type:	Article
Uncontrolled Keywords:	Agricultural Technology Integration, Coffee Leaf Rust, Coffee Rust Detection, TOGAF Framework.
Subjects:	H Social Sciences > HF Commerce > HF5001-6182 Business > HF5549-5549.5 Personnel management. Employment management
Divisions:	Faculty of Information Science and Technology (FIST)
Depositing User:	Ms Suzilawati Abu Samah
Date Deposited:	28 Jul 2025 08:08
Last Modified:	30 Jul 2025 20:15
URII:	http://shdl.mmu.edu.my/id/eprint/14307

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