The paper selects Sichuan as the research object for which has priority in Western Region development strategy. The methodology in GHG inventory guidelines provided by the IPCC was used to estimate the agricultural carbon emissions and carbon emission intensity from 2000 to 2016 in Sichuan. Using Tapio’s decoupling model to estimate the state of decoupling between agricultural carbon emissions and GDP and evaluate the development level. Study the contribution value of each driving factor by building LMDI carbon emission factor decomposition model. According to the influence and function of driving factors, the countermeasures of low carbon development in agriculture are put forward. The results showed that during the research period, the average annual growth rate of agricultural carbon emission and intensity in Sichuan was 1.52% and 1.18%, respectively, with the agricultural film as the main contributor accounting for 45.2%. The decoupling relationship has gradually changed from an initially unsatisfactory state to a relatively ideal state. The year of 2013 and 2016 showed a strong ideal state decoupling. The rapid growth of economic scale is a major factor leading to increased carbon emissions and the agricultural efficiency is a key factor in reducing carbon emissions.