Artificial intelligence and the Internet of Things (IoT) are revolutionizing agriculture by enabling intelligent systems capable of real-time monitoring, control, and visualization of farm operations. These technologies conserve soil fertility, reduce water, pesticide, and herbicide use, and improve labour efficiency. However, poor data quality, restricted infrastructure, and expensive implementation persist. Addressing ethical issues around data privacy and the digital divide is crucial for the future of AI and Machine Learning in agriculture. Improved IoT integration, autonomous agricultural systems, and sophisticated predictive models are keys to their success.