Construction of an Evaluation Model for the Influence of Smart Agriculture Development on Agroforestry Economic Growth

To scientifically quantify the correlation mechanism between smart agriculture development and agroforestry economic growth, this study takes technology innovation theory as the logical support, constructs a multi-dimensional evaluation model based on the extended Cobb-Douglas production function, conducts empirical verification using standardized simulated evaluation data, synthesizes the smart agriculture development evaluation index through the entropy weight method, and verifies the model's adaptability by combining methods such as the fixed effects model, robustness test, and heterogeneous scenario comparison. The experimental results show that the peak goodness-of-fit of the constructed evaluation model reaches 0.912, and the evaluation coefficient of smart agriculture development on agroforestry economic growth ranges from 0.24 to 0.31, all passing the significance test. This provides a replicable technical path for the quantitative research on the economic impact of smart agriculture.