Productivity growth and realization of food security will depend on the transition from traditional agriculture to knowledge-based agriculture. With the ever-increasing demand for land, water and ultimately food, the future of agriculture is not possible without knowledge and innovation. While little research has been devoted to the study and identification of the framework and components of knowledge-based agriculture. In this regard, the current research was conducted with the aim of identifying the components and formulating a knowledge-based agricultural development model. In order to achieve this goal, the combined qualitative and quantitative paradigm was used and two approaches, grounded theory and fuzzy Delphi, were used. The statistical population of the research was 15 experts consisting of agricultural Jihad experts, faculty members, experts of research centers and experts who helped to identify and extract knowledge-based agricultural components and verify them in two phases of grounded theory and fuzzy Delphi. The research results showed that a knowledge-based agricultural model focusing on food security based on four pillars ؛ Institutional system and economic incentives, specialized and trained manpower, efficient innovation system and sufficient and modern information infrastructure. These four main components consist of 11 sub-components and 69 items, which were approved after two stages of asking experts' opinions through the fuzzy Delphi process and calculating the mean difference. Also, the component of the institutional system and economic incentives with the average de-fuzzification (0.5841) was selected as the most important component of the proposed model. Applying this model in practice and emphasizing its components in the field of agriculture is suggested to achieve food security and improve productivity.