The integration of artificial intelligence with the Internet of Things in agriculture is transforming agriculture because it has incorporated sustainable and efficient ways to tackle the global challenges in the food security sector. This paper discusses how AI-driven data analytics, allied with IoT-based smart sensors, and smart devices can create precision farming techniques that help optimize resource use efficiency, reduce the environmental impacts, and enhance crop productivity. The use of technologies such as real-time monitoring of soil health, weather conditions, and crop growth to predictive analytics for pest control and irrigation management-all of these advance decision-making and automation of farming practices. AI and IoT also contribute to sustainable agriculture through reduced waste, water conservation, lesser chemical inputs, and climate resilience. In fact, these technologies have a high transformation potential, meaning that they are very crucial tools in addressing the increasingly rising demand for food in an environment-friendly and economically viable way. Abstract: In recognition of AI and IoT developments and adoption, it is therefore an imperative necessity for future innovation requirements to continue driving the future of sustainable agriculture.