New technologies can transform the agricultural industry as well as any other industry. The final goal of the research is to identify and stratify the factors affecting the development of emerging technologies in agriculture with a supply chain approach. The research method is mixed and initially, the components of emerging technologies in agriculture are identified through literature and semi-structured interviews with experts. Interviews were coded with three methods of open, central and selective coding, and finally 34 components and 182 indicators were identified based on central coding and in the quantitative part a structural-interpretive model to present the model of emerging technologies in agriculture using ISM according to the opinions of 15 people. It was created by the experts of Tarbiat Modares University. After that, to identify the position of the identified components, it was determined using MICMAC based on influence and dependence. The obtained results of emerging technologies in agriculture are formed in six levels including the central category, contextual factors, causal conditions, intervening conditions, strategies and finally, consequences. The findings of the research show that by using interpretive structural modeling, the location of various factors in the dispersion map of the variables was analyzed, from which the position of the key variables can be recognized. From the state of the scatter plot of variables affecting new technologies in agriculture, it has been observed that the system is unstable
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