Being a relatively new learning mode, e-learning offers a comprehensive solution for those institutions seeking to adopt modern technologies and transform their teaching methods and environments. The present study employed Misra and Dhingra model to assess e-learning maturity in the field of agriculture in Iran using artificial neural network. Methods: This cross-sectional study was performed based on six levels of Misra and Dhingra model. It was conducted among 340 graduate agriculture

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... and 177 faculty members at four universities including Bu Ali Sina, Tehran, Hormozgan, and Mashahd universities. The participants were selected based on proportional sampling method from July 1 to September 28, 2019. A validated researcher-made questionnaire was used for data collection, and WEKA software version 3.9.2 was employed for data analysis. Results: The results indicated that the level of academic achievement in the field of agriculture can be predicted based on the Misra and Dhingra model. Furthermore, e-learning was at the fourth level in this field in Iran's higher education. Conclusions: In general, educational facilities and infrastructures were identified to be suitable for e-learning implementation in Iran's higher education institutions.