Amomi fructusis rich in volatile components and valuable as a medicine and edible spice. However, the quality of commercially availableA. fructusvaries, and issues with mixed sources and adulteration by similar products are common. In addition, due to incomplete identification methods, rapid detection of the purchasedA. fructusquality is still an issue. In this study, we developed qualitative and quantitative evaluation models to assess the variety and quality ofA. fructususing GC, electronic tongue, and electronic nose to provide a rapid and accurate variety and quality evaluation method ofA. fructus. The models performed well; the qualitative authenticity model had an accuracy of 1.00 (n = 64), the accuracy of the qualitative origin model was 0.86 (n = 44), and the quantitative model was optimal on the sensory fusion data from the electronic tongue and electronic nose combined with borneol acetate content, withR2= 0.7944, RMSEF = 0.1050, and RMSEP = 0.1349. The electronic tongue and electronic nose combined with GC quickly and accurately evaluated the variety and quality ofA. fructus, and the introduction of multi-source information fusion technology improved the model prediction accuracy. This study provides a useful tool for quality evaluation of medicine and food.