Artificial Intelligence Integration in Daily Agribusiness Operations: A Paradigm Shift for Tropical Smallholder Farming Systems

I Made Budiasa; Cening Kardi

Authors

I Made Budiasa Agribusiness Study Program, Faculty of Agriculture and Business, Mahasaraswati University, Denpasar, Indonesia, Indonesia Author
Cening Kardi Agribusiness Study Program, Faculty of Agriculture and Business, Mahasaraswati University, Denpasar, Indonesia, Indonesia Author

Keywords:

Artificial Intelligence, Agribusiness Operations, Paradigm Shift, Smallholder, Farming Systems

Abstract

The integration of artificial intelligence (AI) in daily agribusiness operations represents a transformative shift in modern agricultural management, particularly for tropical smallholder farming systems. This study examines the novel applications of AI technologies in routine agricultural business activities, focusing on practical implementations that bridge technological innovation with operational feasibility. Through comprehensive analysis of recent developments (2023-2025), we identify four critical domains where AI demonstrates high impact: (1) IoT-enabled precision resource management, (2) autonomous crop monitoring and intervention systems, (3) intelligent farm decision support frameworks, and (4) market-aware supply chain optimization. Field evidence from tropical agriculture settings demonstrates that low-cost AI solutions combining sensor networks, machine learning algorithms, and mobile applications can achieve substantial improvements in resource efficiency (20-30% water savings), productivity (15-20% yield increases), and profitability through optimized crop selection. This research contributes to the growing body of knowledge by synthesizing cutting-edge AI applications specifically contextualized for resource-constrained tropical agribusiness environments, offering actionable insights for smallholder farmers, agricultural extension services, and agribusiness policymakers in developing economies

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