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The advancement of animal nutrition and feed safety assurance increasingly rely on refining feed production systems. Modern feed manufacturing is a precision-focused process enabled by automation, real-time sensing, and data-informed decision-making. This chapter presents an overview of advanced batch control techniques in animal feed production. It examines how programmable logic controllers (PLCs), human-machine interfaces (HMIs), and industrial control algorithms accurately coordinate ingredient dosing, mixing, and delivery. Alongside these controls, micro-scaling tools such as Near-Infrared Spectroscopy (NIRS) and Hyperspectral Imaging provide detailed insights into nutrient composition, enabling tailored rationing to meet specific dietary needs. Integration of Internet of Things (IoT) architecture with Artificial Intelligence (AI) and Machine Learning (ML) brings a new dimension to feed manufacturing—one that supports responsive formulation adjustments, condition-based Maintenance, and system-wide autonomy.
- 1 Introduction
- 2 Batch process in feed production
- 3 Integrated batch control and micro-scaling technologies in livestock feed systems
- 4 Technological advances: automation and Internet of Things integration
- 5 Technological advances: Artificial Intelligence and machine learningbased opportunities
- 6 Technological advances: advanced monitoring and quality control systems
- 7 Challenges and potential solutions
- 8 Future trends in research
- 9 Conclusion
- 10 Where to look for further information
- 11 References