AI-driven Transformation in Coffee Agribusiness: a Systematic Review of Innovation, Efficiency, and Sustainability Interactions and Future Research Potential
Year: 2025
Type: conference-paper
Study design: Systematic Review
Abstract: This study aims to map the impact of digital transformation driven by AI technology in the coffee industry, focusing on three key aspects: efficiency, innovation, and sustainability, as well as their interactions.Through a systematic review of hundreds of existing studies, this research identifies patterns in AI technology adoption and uncovers future research opportunities to expand its applications, including its effects on SMEs and smallholder farmers.This article employs a Systematic Literature Review (SLR) to examine the latest developments in AI technology adoption within the coffee industry.The primary focus is to map the benefits of AI in enhancing operational efficiency, driving product and process innovation, and strengthening sustainability.Additionally, this study explores the interconnections among these three aspects in shaping a more inclusive and sustainable digital ecosystem for industry stakeholders.The review indicates that while AI adoption in the coffee industry continues to expand, studies examining the interactions between efficiency, innovation, and sustainability remain scarce.Among the articles reviewed, 33 key benefits of AI technology implementation in the coffee sector were identified.The mapping reveals that efficiency is the most dominant aspect, followed by innovation and then sustainability.Additionally, many of these benefits overlap, creating opportunities for further research to optimize AI applications in the industry.
Institutions: Universitas Halu Oleo, Universitas Muhammadiyah Buton
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
Open Access status: diamond
OpenAlex ID: W4416976296