The advent of advanced technologies like Artificial Intelligence (AI) and the Internet of Things (IoT) has revolutionized agriculture by optimizing crop growth, minimizing resource consumption, and promoting sustainable farming practices. This paper explores the integration of sensors, drones, satellite imaging, and data analytics to monitor soil moisture, temperature, crop health, and weather conditions in real time. By leveraging AI for data-driven decisions in irrigation, fertilization, pest control, and yield predictions, modern agriculture can effectively respond to environmental challenges. This study examines the potential of these technologies to transform traditional farming into a precision-based, efficient system capable of addressing the global demand for food security.