Grain sampling and inspection are critical processes in grain storage and purchase, where the accuracy of inspection results directly affects the objectivity and reliability of grain quality evaluation. This paper analyzes the problems of traditional manual sampling and inspection methods, including significant human errors, high labor intensity, and low efficiency. It also elaborates on the coordinated promotion mechanism between the policy orientation for industrialization and standard system construction of intelligent unmanned grain sampling and quality inspection integration system at present，as well as the crucial supporting role of intelligent inspection systems in the construction of smart grain depots. Based on current technological trends, the paper provides a forward-looking perspective on the future development of grain quality inspection technology, focusing on improvements in inspection accuracy, enhanced automation, and intelligent data analysis.