As the global demand for food rises and climate change poses increasingly severe challenges to agricultural systems, the need for innovative, sustainable solutions has never been more pressing. Artificial intelligence (AI) is emerging as a transformative tool in agriculture, offering the potential to enhance efficiency, productivity, and resilience across the sector. This chapter explores the key applications of AI-driven innovations in sustainable agriculture, focusing on how technologies, such as machine learning, computer vision, and predictive analytics, are revolutionizing farming practices. By enabling precision agriculture, AI allows for more targeted use of resources like water, fertilizers, and pesticides, significantly reducing waste and environmental impact while maximizing crop yields. AI-powered systems for crop health monitoring, pest detection, and soil analysis provide real-time insights, allowing farmers to make data-driven decisions that optimize production and sustainability. In the face of increasingly unpredictable climate patterns, AI also plays a crucial role in enhancing agricultural resilience, offering predictive tools to anticipate extreme weather events and adjust farming strategies accordingly. Additionally, AI is reshaping agricultural supply chains, improving efficiency in harvesting, storage, and distribution, and reducing food waste. The chapter highlights how AI’s integration into agricultural systems not only improves farm-level operations but also contributes to broader global goals of food security and environmental sustainability. As AI technologies continue to advance, they offer promising solutions to the challenges of modern agriculture, helping to build a more efficient, resilient, and sustainable future for food production.