The integration of IoT and AI in agriculture is revolutionizing the industry. The random forest model, for instance, is being used in irrigation forecasting, outperforming models like SVM. This study demonstrates the superiority of the random forest model in performance simulations and visualizations, enhancing water use efficiency and crop yields. The integration of AI and IoT not only increases crop yields but also reduces water wastage, improves resource utilization, and contributes to environmental sustainability. Advanced predictive models enable just-in-time operational decision-making, further increasing agricultural efficiency. This research underscores the critical role of technological innovation in reinventing traditional agriculture and creating intelligent, data-driven systems for the future.