Advanced artificial intelligence technology and Big data technology are used to analyze the appearance and composition of grain grains, quantify grain quality information, and support the transmission, storage and analysis of information, enabling AI technology for grain detection;

By combining automation technology, equipment integration, automatic circulation, and automatic detection of grains have been achieved, achieving unmanned and standardized grain detection simultaneously, avoiding phenomena such as "human grain" and "fraudulent grain", improving quality inspection efficiency, and reducing personnel investment costs and hidden costs.

Data inspection, data reconciliation, and blood relationship analysis are used for data traceability to enhance data accuracy. Comprehensive tracking of data production, processing, conversion, storage, calculation and other processing processes, establishment of data lineage analysis links, and intelligent analysis of data.