The Agri-food Supply Chain (AFSC) encounters numerous challenges that impact its efficiency, sustainability, and overall performance. In addition, the growing recognition of risks to human life, agri-food loss and wastage resulting from the mishandling of agricultural products serves as a driving force for achieving sustainability across the entire supply chain. However, the nascent Blockchain Technology (BT) is believed to establish a more robust, transparent, sustainable and streamlined AFSC, offering advantages to all participants, ranging from farmers to consumers. This research aims to identify and categorize factors that contribute to the adoption of Blockchain Technology (BT), offering a comprehensive methodology for modelling and evaluating the recognized blockchain enablers. Fuzzy Total Interpretive Structural Modeling (F-TISM) is employed to gain an intricate understanding of the interrelationships among the blockchain enablers. Furthermore, Fuzzy Matriced’s Impacts Croisés Multiplication Appliquée à un Classement (F-MICMAC) is employed to assess the mutual influences and interactions among the enablers. The application of Fuzzy TISM-MICMAC contributes not only in theoretical advancements in blockchain adoption but also provides valuable practical insights for stakeholders in the agri-food industry, policymakers, and technology developers.