The article studies the relationship between the digital economy and high-quality agricultural development, with core innovations reflected in three aspects: 1. Innovation in research perspective: It breaks through the limitations of single-effect testing by constructing a comprehensive empirical analysis framework of 'baseline regression-robustness verification-regional heterogeneity-endogeneity handling', testing the relationship between the two through multiple methods to enhance the scientific validity and credibility of the conclusions. 2. Innovation in variable measurement and control: The entropy method is used to standardise core variables to avoid subjective weighting bias, and supply-side factors and environmental variables are selected as control variables, with particular attention to the development level of the technology market, a key intermediary variable often overlooked, to accurately identify the net effect of the digital economy on high-quality agricultural development. 3. Innovation in regional heterogeneity analysis: By combining the agricultural development foundation and digital economy penetration characteristics of the eastern, central and western regions, the 'differentiation presentation + mechanism interpretation' model is used to deeply analyse the logic behind heterogeneous results, providing precise experiential support for formulating differentiated digital agriculture policies and avoiding 'one-size-fits-all' policies.