The Emerging Role of Artificial Intelligence and Big Data in Agri Management for Driving Sustainable Growth in the Global Food Industry

Abstract

The global food industry is undergoing rapid transformation, driven by the integration of advanced technologies in agri management. Among these, Artificial Intelligence (AI) and Big Data analytics are emerging as pivotal tools in enhancing efficiency, sustainability, and competitiveness. This study explores the strategic role of AI and Big Data in agri management, with a focus on how these technologies contribute to sustainable growth in the global food industry. AI applications such as predictive analytics, precision farming, crop monitoring, and automated decision making are reshaping agricultural practices by enabling resource optimization and reducing production risks. Similarly, Big Data facilitates real time insights into market trends, weather patterns, consumer preferences, and supply chain dynamics, thus supporting evidence based management decisions. The integration of these technologies not only improves productivity but also addresses pressing challenges such as food security, climate change, and environmental sustainability. Furthermore, the study highlights how AI driven solutions and data centric strategies foster innovation in farm management, strengthen supply chain resilience, and enhance value creation for stakeholders. By examining the opportunities and barriers associated with the adoption of AI and Big Data in agri
management, this research provides insights into their transformative potential in building a sustainable, technology enabled food ecosystem. The findings emphasize that the effective implementation of AI and Big Data requires robust infrastructure, a skilled workforce, supportive policies, and consideration of ethical implications to achieve long term global food security and sustainability.