Artificial Intelligence Applications in Agribusiness: Transforming Daily Agricultural Operations for Sustainable Food Systems

ni putu anglila amaral; Ida Ayu Made Dwi Susanti

Authors

ni putu anglila amaral Faculty of Agriculture and Business, Universitas Mahasaraswati Denpasar, Indonesia Author
Ida Ayu Made Dwi Susanti Faculty of Agriculture and Business, Universitas Mahasaraswati Denpasar, Indonesia) , Indonesia Author

Keywords:

Artificial Intelligence, Applications in Agribusiness, Transforming Daily Agricultural Food Systems.

Abstract

The integration of artificial intelligence (AI) in agribusiness has revolutionized daily agricultural operations, offering transformative solutions for sustainable food production. This study examines the practical applications of AI technologies in modern farming, focusing on precision agriculture, crop monitoring, pest detection, and resource management. Through comprehensive analysis of recent implementations, we demonstrate that AI-powered systems achieve 89.5-99.94% accuracy in crop disease detection and agricultural decision support. Computer vision technologies enable real-time identification of plant diseases and pests, while IoT-AI integration reduces water usage by 20-50% and increases crop yields by 15-20%. Machine learning algorithms optimize fertilizer application, reducing costs by 15-30% while maintaining productivity. Despite these advances, implementation challenges persist, including high initial costs, limited technical expertise, and infrastructure constraints in developing regions. This research presents a comprehensive framework for practical AI deployment in agribusiness, emphasizing edge computing solutions, farmer training programs, and collaborative partnerships. The findings demonstrate that strategic AI integration in daily agricultural operations can significantly enhance productivity, sustainability, and resource efficiency while addressing global food security challenges

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