Using microdata from the China Land Economic Survey (CLES), This study empirically analyzes the influence of industrial integration on farmers′ green production transition and its mechanism.The analysis follows the dual perspectives of farmers′ decision preference and factor allocation using OLS models. The main findings are as follows. Firstly, industrial integration can promote the green production transformation of farmers. After controlling for potential endogenous problems and conducting various robustness tests, the research conclusions remain consistent. Furthermore, the driving effect is more obvious in the prenatal material input stage and the production management stage, from the perspective of the production process. Secondly, Improved industrial integration has significantly promoted the green production transformation of farmers, but the effects of different integration models vary. Among them, the internal integration type and the functional expansion type exhibit a significantly stronger incentive effect on the green production transformation of farmers than the chain extension type and the technology penetration type. Thirdly, from the perspective of decision preference, it is found that farmers′ decision preference has a moderating effect between industrial integration and green production transformation. Lower time preference (i.e., the more they prefer long-term returns) and higher risk preference conelate with more significant driving effect of industrial integration. Fourthly, from the perspective of factor allocation, it is found that the radiating driving effect of industrial integration is more prominent in farmers with large land scales, high land fertility, and non-agricultural employment and factor allocation characteristics. Fifthly, the analysis of the mediating effect shows that social networks and environmental literacy serve as important transmission paths for industrial integration influences the farmers′ green production transformation.