Abstract: Provided are a method for intelligent quality evaluation of instant green tea based on multi-source data fusion and use thereof, belonging to the field of food inspection and involving the establishment of a system for intelligent quality identification of instant green tea. A rapid intelligent tea quality evaluation technique is mainly provided. Quality indicators of instant green tea are determined by chemical analysis; relevant data is collected using an intelligent evaluation technique; and correlation analysis is employed to reveal the relationships between the quality indicators and intelligent features. Based on independent data sources, a classification model for instant green tea varieties is constructed. By combining the multi-source data fusion technology with machine learning algorithms in this application, a system and method for efficient, accurate, and comprehensive intelligent quality evaluation of instant green tea are established.