Abstract: A low-carbon dispatch optimization model of modern agricultural integrated energy systems based on the multi-scenario confidence gap decision theory is constructed to address the carbon emission problem of wind-solar-waste-biogas storage joint dispatch in modern agricultural parks. First, the improved Shapley value method is used to allocate carbon emission allowances, and a laddered carbon trading price model is obtained for each entity considering risk factors. Second, based on the laddered carbon trading price model of each entity and considering the uncertainty of the source load, a multi-objective optimal scheduling model with the lowest operating cost and carbon dioxide emissions of the modern agricultural park is constructed based on the multi-scenario confidence gap decision theory. Finally, the model is verified using data from an agricultural park in Northeast China. The results show that an improved Shapley value renders the laddered carbon trading price more realistic. Modern agricultural parks have experienced a 37.25% reduction in operating costs and a 59.84% reduction in carbon emissions. Furthermore, the park achieved multi-energy coordinated optimization. Consequently, the low-carbon environmental protection and risk resistance capabilities of modern agricultural parks have improved.