This article reviews the development journey of intelligent grain processing equipment and introduces the specific application practice of intelligence in grain processing equipment. The intelligent development of grain processing has gone through four important stages: Connect， monitor， assist， and self-optimize. Each stage marks a significant advancement in technology and a profound impact on applications. In the connect stage， the automation of the equipment in the factory and the collection of production data were achieved， which initially improved the production efficiency and management transparency. In the monitor stage， data-driven optimization and optimization suggestions are generated through the data in-depth analysis in the production process， which help to better improve production efficiency and product quality. In the assist stage， based on data analysis and decision-making， it guides the automatic adjustment of equipment， achieve the closed-loop control for important functions， which reduces manual intervention， significantly improves production efficiency and ensures product quality. In the self-optimize stage， AI technology and machine learning algorithms are integrated to achieve the decision-making and optimal control of the equipment automatically， which reflect the intelligence is truly reached. At present， there are good practices in the first three stages of intelligent development of grain processing， such as automatic continuous ship unloader and intelligent grinding system in the data connection stage. Production monitoring stage of the error and downtime analysis system， temperature and vibration management system， etc. The color loop control and bran starch loop control in the data feedback adjustment stage have brought great influence in the industry. In the future， with the continuous innovation of grain processing equipment technology， AI， big data， IoT and other technologies will continue to develop and practice and grain processing intelligence will usher in a broader development prospect.