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The presentation "Using AI-Enhanced NIR Technology to Optimize Feedstock Sorting" explores how Near-Infrared (NIR) technology, enhanced by AI, can revolutionize biomass feedstock sorting for the wood pellet industry. It addresses key challenges such as inconsistencies in moisture content, particle size, chemical composition, and contamination, which impact product quality and efficiency. The proposed solution involves implementing a rapid NIR-based characterization method to optimize feedstock blending and ensure compliance with industry standards. AI enhances this process by improving data interpretation, enabling real-time monitoring, and detecting anomalies for better decision-making. The presentation outlines a step-by-step approach for integrating AI-enhanced NIR in pellet plants, from pilot testing to full-scale implementation, highlighting benefits such as improved quality, increased efficiency, reduced waste, and predictive maintenance.