Biostimulants, derived from various organic sources, play a crucial role in enhancing plant growth, stress tolerance, and yield. Understanding the origin of biostimulants is essential for optimizing their efficacy and ensuring sustainable agricultural practices. This study proposes a novel approach for classifying biostimulant origin based on the amino acid composition of hydrolyzed proteins. By analyzing the amino acid profiles of biostimulants derived from different sources, including plant-based, animal-derived, and microbial sources, distinctive patterns emerge that enable accurate classification. Through statistical analysis and machine learning techniques, this approach offers a reliable and efficient method for identifying the origin of biostimulants, providing valuable insights for farmers, manufacturers, and regulatory authorities. By elucidating the relationship between amino acid composition and biostimulant origin, this study contributes to advancing our understanding of biostimulant quality and efficacy, ultimately supporting sustainable agriculture and food security.

Biostimulants, amino acid composition, hydrolyzed proteins

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