The entrepreneurial ecosystem consists of a set of interconnected individuals, organizations, and institutions that includes human capital, finance, support, market, culture, and policy cause agribusiness development. The purpose of this research is the pathology of the agricultural entrepreneurship ecosystem based on the Isenberg model and path dependency approach. The research method is a case study, and data were collected by purposeful and snowball sampling through an open questionnaire. Data analysis and interpretation were through content analysis and process tracking and then social network analysis. The results showed that there are many links deficit in the network of agricultural entrepreneurship ecosystem that hinder the development of agribusinesses. At the macro level, Iran's economic, social, and political context influences all sectors of the economy, including agriculture. In this category, centralization, top-down, fragmented, and simple blueprint planning has the highest degree of out and closeness centrality, and the experience of modernization with the highest degree of betweenness centrality plays as a bridge in the entire network. After the context, the market category, including the increase of agricultural production without focusing on value creation, has the highest degree of in, out, betweenness, and closeness centrality. Therefore, for more value creation and income, the needs assessment of agribusiness clusters to deploy production, processing, and service startups, is of particular importance. Keywords : entrepreneurial ecosystem, agriculture, path dependency, process tracking, content analysis, network analysis, Isfahan.