Smart Agriculture In Bali: A Systematic Review of Artificial Intelligence Applications for Tropical Farming

I Made Suryana; Ni Gst.Ag.Gde Eka Martiningsih; Ni Putu Eka Pratiwi

Authors

I Made Suryana Agrotechnology Study Program, Faculty of Agriculture and Business, Mahasaraswati University, Denpasar, Indonesia, Indonesia Author
Ni Gst.Ag.Gde Eka Martiningsih Agribisnis Study Program, Faculty of Agricultural and Business, Universitas Mahasaraswati Denpasar, Indonesia, Indonesia Author
Ni Putu Eka Pratiwi Agrotechnology Study Program, Faculty of Agricultural and Business, Universitas Mahasaraswati Denpasar, Indonesia, Indonesia Author

Keywords:

artificial intelligence, Precision Agriculture, Balinese agriculture, agriculture

Abstract

This systematic literature review examines artificial intelligence (AI) applications in agriculture with specific implications for Bali’s unique agricultural landscape. Through a comprehensive analysis of 20 Scopus-indexed articles (2019-2026), this study identifies key AI technologies, applications, and adoption barriers relevant to Balinese farming contexts. The review reveals that AI-driven solutions—including deep learning for disease detection (achieving 92-99% accuracy), IoT-based precision irrigation (reducing water use by 30%), and machine learning recommendation systems (99% accuracy)—offer transformative potential for Bali’s rice-dominated agriculture. However, adoption faces significant barriers including infrastructure limitations, digital literacy gaps, economic constraints, and socio-institutional challenges. This study contributes novel insights by contextualizing global AI innovations within Bali’s traditional subak irrigation system, mixed cropping patterns, and tourism-agriculture integration. Recommendations include developing lightweight edge-computing models, participatory technology design with farmer communities, and policy frameworks supporting responsible AI deployment that preserves Bali’s agricultural heritage while enhancing productivity and sustainability

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References

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