AI is transforming farming by making it more climate-resilient and data-driven. Climate change hurts traditional farming’s ability to produce enough food. AI innovations improve farming through data analysis, real-time processing, and machine learning. AI-powered precision farming can enhance crop management and climate resilience.AI systems analyze soil, predict weather, and manage pests. Machine learning uses large datasets to predict weather and crop health. This helps farmers make better decisions. AI and sensors monitor soil health, moisture, and nutrients. This allows for precise watering and fertilization. Drones and computer vision improve crop monitoring. They detect diseases early and with great accuracy. Generative AI simulates climate scenarios. This helps create climate-resilient seeds.AI improves water and fertilizer use for better yields and sustainable farming. Research shows AI can combine satellite images and field data. This creates decision-support systems for farmers dealing with different climates. However, AI precision farming has challenges. High costs, data privacy, and limited internet access in rural areas hinder its use. Government support, partnerships, and training are needed. These efforts can bridge gaps and make agricultural AI more accessible. By promoting innovation and inclusion, AI can empower farmers. It can also reduce climate threats and secure the global food supply.