Objective To develop a rapid method for identifying the geographical origin of Amomum villosum based on intelligent sensory technology.Methods Amomum villosum samples from four origins: Yangchun (Guangdong), Changtai (Fujian), Chengmai (Hainan), and Xishuangbanna (Yunnan), are used as the research materials. A PEN3 electronic nose and a TS-5000Z electronic tongue are employed to collect their aroma and taste profiles, respectively. Principal component analysis (PCA), linear discriminant analysis (LDA), and sensor loading analysis are applied to discriminate samples from different origins.Results The response values of the 10 electronic nose sensors vary significantly, among which the W5S sensor, sensitive to nitrogen oxides, exhibits the strongest response. Both PCA and LDA results show that the A. villosum samples from the four origins form distinct clusters in the score plots. The overall aroma intensities follow the order: Yangchun (Guangdong)>Changtai (Fujian)>Chengmai (Hainan)>Xishuangbanna (Yunnan). The cumulative contribution rate of PCA for the electronic tongue data is 97.14%, and the radar charts reveal significant differences among samples from different origins in taste dimensions, including astringency, bitterness, sweetness, saltiness, and sourness.Conclusion The combined use of electronic nose and electronic tongue technologies enables rapid and objective discrimination of A. villosum from different geographical origins.