Abstract: Identifying spatial heterogeneity of agricultural low-carbon development is of great significance for improving agricultural production efficiency and protecting agricultural ecological environment. In this paper, planting industry is taken as the research object, the evaluation index system of agricultural low-carbon development level is constructed with the help of the theory of low-carbon agriculture, and the entropy method and geographical weighted regression model are used to explore the spatial heterogeneity of agricultural low-carbon development level and influencing factors in China under the scale of 357 cities. The results show that: (1) there is spatial heterogeneity and correlation in the development level of low-carbon agriculture in China. The spatial heterogeneity show that the comprehensive level of China's agricultural low-carbon development decreases from southwest to northeast to southeast and northwest at the city scale, while the carbon production level index has the greatest impact on the comprehensive level. The spatial correlation shows that the low-carbon development level of agriculture in southwest region and Daxinganling region shows high-high aggregation, while that in other regions shows high-low aggregation. In addition, the indirect effects such as social economy caused by topography are greater than their direct effects. (2) In space, the influence of labor productivity and agricultural scale on agricultural low-carbon development level is U-shaped and inverted U-shaped, and the influence of labor productivity on agricultural low-carbon level changes in a U-shaped trend from west to east. Agricultural scale is characterized by inverted "U", which is low in the north and south and high in the middle. The impact of urbanization level on agricultural low-carbon development level gradually decreases from west to east.