Abstract: In order to solve the problem of randomness and repetitiveness, the paper explored the methodology for selection and optimization of indicators for the applicability evaluation of greenhouse intelligent control systems indicators based on analyzing the factors influencing the greenhouse intelligent control system. An indicator selection model for applicability assessment of greenhouse intelligent control system was constructed and Shouguang Vegetable Greenhouse was taken as an example for empirical study, which showed that the indicators could be optimized from 32 to 22 by using the selection model and the completeness of indexes system reached as high as 88.96%. Consequently, the objective to reduce the randomness, completeness and simplicity of indicators selection can achieve. The results can provide a foundation for further applicability evaluation of greenhouse intelligent control systems.