Objective/Meaning  The study aimed to grasp the development trend and regional differentiation characteristics of agricultural digital transformation, clarify the problems such as unclear influence mechanism in the transformation practice, and promote the development of traditional agriculture in the direction of intelligence and digitization.

Methods/Procedures  Based on the entropy weight-TOPSIS method and Dagum Gini coefficient, the effect of agricultural digital transformation in various provinces of China from 2014 to 2023 was measured and analyzed. Then, the regional differences of agricultural digital transformation in China were analyzed, and the geographical detector model was used to analyze its main influencing factors.

Results/Conclusions The results showed that: (1) The overall agricultural digital transformation in China demonstrated a steady upward trend, but the growth rate was relatively slow; (2) There was a clear gap between regions, and the digital transformation of agriculture was unbalanced; (3) The level of regional economic development, the level of education expenditure and the level of opening up to the outside world were the main influencing factors. The interaction among various factors showed that the spatial differentiation of agricultural digital transformation was the result of the interaction of various factors. Based on the above research conclusions, it was necessary to improve the agricultural digital infrastructure and stimulate the transformation motivation of farmers; strengthen the coordination among the eastern, central and western regions, and narrow the gap through resource sharing; and strengthen the multi-dimensional application mechanism to achieve the balanced development of agricultural digitalization.