Jiexun Cloud Control 3.0 Redefines the AI Era of Rice Processing

How can the grain-processing industry achieve large-scale loss reduction, higher yields, and consistent product quality without relying on human experience at every stage of production? This is a common challenge facing grain processors worldwide.

From September 5 to 7, 2026, ANYSORT was invited to participate in the 8th China Grain Trade Conference, which covers a total exhibition area of 100,000 square meters, the event attracted more than 3,100 companies and over 20,000 industry professionals.

As a global leader in AI sorting solutions, ANYSORT officially unveiled Jiexun Cloud Control 3.0, its next-generation intelligent production line solution designed for rice processing.

At the event, four leading rice producers simultaneously commissioned their Cloud Control 3.0 Production Lines, marking a major transition in the industry from standalone color sorting toward fully autonomous, data-driven AI quality sorting.

Jiexun Cloud Control 3.0 represents a fundamental breakthrough by enabling production lines with autonomous decision-making capabilities. Powered by ANYSORT’s independently developed Multimodal AI Quality Sorting Large Model and Hawkeye Camera Technology 5.0, the system establishes a continuous data closed loop covering the entire process from raw-material intake to finished-product output.

Wuchang Sihai Rice Industry Co., Ltd., based in Northeast China, has deployed Jiexun Cloud Control 3.0, which monitors production data in real time, dynamically adjusts processing parameters, identifies abnormalities within seconds, and proactively takes corrective actions—all without manual intervention. It is AI operating 24/7 on real-world rice processing production lines.

Currently, the ANYSORT Quality Sorting AI Super Agent Production Line Solution has been successfully deployed at more than 300 enterprises globally.

Jiexun Cloud Control 3.0 reflects our vision of “ LET THE WHOLE WORLD ENJOY THE BEST QUALITY FOOD.” As global food-security challenges continue to grow, reducing losses and improving efficiency during processing is our responsibility.