ISSUE FOCUS FEED & ADDITIVE MAGAZINE March 2026 43 cient quality and in real time - is not an end in itself. It is the final building block of an integrated Precision Feed Milling concept. When advanced machine and process design, modern automation solutions and fit-for-purpose sensor technology are combined with powerful, adaptive and robust data models, state-of-the-art control algorithms can enable fully automated operation of entire production lines. In a Bühler PelletingPro setup, the achievable accuracy of moisture control is remarkably high – better than 0.5 percentage points - from the batch mixer through the pelleting line to the final product. This level of control enables recipe-specific optimization of hygienization during conditioning and more efficient operation of both pellet press and pellet cooler, supported by a simple and intuitive user interface. As demonstrated in multiple installations of the PelletingPro digital service, operator-independent control and continuous optimization can significantly reduce downtime. Fewer manual interventions not only improve productivity but also lower the risk of product carryover and contamination - ultimately increasing the overall level of feed safety. Given these strong and highly encouraging results, it is only logical to expand the Precision Feed Milling concept with additional autonomous controls for other product quality parameters and other process lines. Even though not all developments are fully completed yet, their potential for operational excellence, improved feed safety, nutrient consistency and the reliable use of innovative bioactive ingredients is already tangible today. PRACTICAL TAKEAWAYS FOR FEED MILL OWNERS AND PLANT MANAGERS For many mills, improving feed safety does not mean adding a single “extra” step - it means strengthening control at the most critical gateways: 1. Intake and cleaning: Validate cleaning performance and remove contamination risk early, at full throughput (not by sampling only). 2. Hygienic equipment design: Minimize resiPrecision feed milling Unlocking the full potential of animal nutrition Real-time process optimization Data Processing Data Collection Equipment Control Process Control Powered by AI Enabled by digital twins, optimization algorithms, and historical data analytics Based on sensor inputs from product, process, and environment Through precisely controllable equipment Via MES as full factory automation system Building blocks of precision feed milling Figure: Bühler Group
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