Abstract: Low carbon agriculture is a hot issue in modern agricultural research. However, comprehensive evaluation of the benefits of low carbon agriculture is limited. This paper analyzed the significance of constructing comprehensive evaluation system of the benefits of low carbon agriculture. The analytic hierarchy process (AHP), Delphi method and fuzzy comprehensive evaluation method were used to evaluate the benefits of low carbon agriculture with the aim of shifting from qualitative to quantitative evaluation system, using Luxia Town in Nanping City, Fujian Province as a case study. The comprehensive evaluation index system of low carbon agriculture benefit (consisting of 3 first-level and 20 second-level indices) was built based on selected evaluation weight indices as well as on calculated indices. It was then applied to evaluation of low carbon agriculture benefits in Luxia Town. The result showed that low carbon agriculture gained overall benefits in the region. The compressive benefit score was 0.723 9 and the index scores of ecological, social and economic benefits were 0.698 2, 0.592 3 and 0.472 0, respectively. The above results suggested that the index system was suitable for evaluating low carbon agriculture benefits in north Fujian. The study provided a useful base for low carbon agriculture production practice in China.