Agricultural biomass

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• Published Subscription Original Research 8 Aug 2026

  Artificial Intelligence-Assisted Multi-Objective Optimization of Agricultural Biomass-Reinforced Polymer Composites

  By Tejaswini R. Murgod, Nagarathna C. R, Nandini G, Pallavi Hallappanavar Basavaraja, Keerti Patil

  Abstract: Agricultural biomass can reduce the environmental burden of polymer composites, yet its heterogeneous structure creates competing effects on strength, moisture resistance, density, and process ability. This study developed an artificial intelligence-assisted framework for balanced composite formulation. Experimental data of agricultural biomass reinforced polymer composites were gathered, harmonized and validated using leakage controlled validation. The mechanical and physical properties were predicted by artificial neural networks and conventional regression models. Explainable analysis …

  Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article →