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AI has dominated industry talk—but milling needs prediction, not hype. Real value comes only when AI is built on automation, a strong OT network, one validated PLC-based data source, and fully automated clean data—so mills can anticipate failures, quality drift, energy use, and bottlenecks before they hit throughput.

In recent years, grain and oilseed producers have faced increasing uncertainty not just in commodity pricing, but in production volumes. From unexpected frosts in Russia to prolonged droughts in Argentina, climate variability is exerting new pressures on agricultural systems — and exposing the limitations of conventional forecasting tools.