AI-based agriculture, or Smart Farming, uses artificial intelligence and machine learning to analyze data from sensors, drones, and satellites to improve farming efficiency, crop yield, and sustainability. Key applications include precision farming, automating irrigation and fertilizer use, pest and disease detection, yield prediction, and optimizing crop management. This technology helps farmers make data-driven decisions, reduce waste, and increase profitability while addressing challenges like food security and climate change.