AI-DRIVEN STRATEGIES FOR MODERN AGRIBUSINESS

Abstract

The integration of Artificial Intelligence (AI) into agriculture is revolutionizing the agribusiness sector, enabling smarter, more efficient farming practices. AI technologies such as machine learning, deep learning, computer vision, and natural language processing are transforming key areas like crop monitoring, precision farming, supply chain optimization, and farm automation. By automating tasks, optimizing resource use, and improving decision-making, AI helps address the growing global food demand while minimizing environmental impact and enhancing sustainability. However, challenges such as data quality, high initial investment, and workforce skill gaps remain significant barriers. Despite these hurdles, AI-driven solutions are proving to be instrumental in enhancing productivity, profitability, and environmental stewardship in agriculture. Looking forward, the combination of AI with other emerging technologies like blockchain promises to further enhance the transparency, efficiency, and adaptability of agricultural systems, shaping the future of agribusiness in an era of climate change and resource scarcity.