Fuente: Wipo "precision agriculture" This article explores the diverse applications of Artificial Intelligence (AI) in precision agriculture, emphasizing its role in enhancing crop yields and optimizing resource efficiency. It examines five critical areas where AI is transforming modern farming: predictive analytics for crop management, intelligent irrigation, automated pest and disease detection, precision fertilizer application, and robotic harvesting. By integrating data from multiple sources and utilizing advanced machine learning algorithms, AI-driven systems significantly improve accuracy, efficiency, and sustainability. Key advancements include a 15% increase in yield prediction accuracy, up to 30% reduction in water usage, and a 20% decrease in fertilizer consumption without compromising productivity. Despite challenges such as data privacy concerns and high initial costs, the long-term benefits—such as higher profitability, environmental sustainability, and enhanced food security—underscore AI's value in agriculture. This analysis highlights how AI-powered precision farming is reshaping agriculture, addressing global food production challenges, and minimizing the industry’s environmental impact.