Blockchain (BC) technology is developing in every sector, and it guarantees to solve many problems concerning security, privacy, and trust. BC is not a separate technology; it combines technologies in computer science and financial applications. When BC technology is assessed concerning agri-food processes, it is stated that it can be a quality solution to support transparency and help to build trust in the agri-food sector. Concerning all the benefits and paradigm changes in the agri-food chain, understanding the BC technology is the first step before including it in the existing environments. Knowing the key factors affecting the BC efficiency and application may be an excellent way to start and investigate the developing technology. Accordingly, this paper aims to create an assessment methodology for the BC technology from the smart agriculture (SA) perspective. The 2-Tuple linguistic (2-TL) model is used with multi-criteria decision-making (MCDM) tools. The 2-TL model is a linguistic-based analytical approach that can eliminate information loss during the translation stage. While evaluating emerging technology, a linguistic-based methodology could be more understandable for practitioners and researchers. The DEMATEL method is utilized in this study’s framework thanks to its ability to check the interdependence among the proposed criteria and extract their interrelationships. Evaluating these relationships can help companies increase the efficiency of their own evaluation processes. A case study to test the plausibility of the suggested framework is also given with detailed results and discussions.