The present invention discloses a muscat production place identifying method, which comprises: (1) collecting grape samples from muscat main production area production places such as Tianjin Chadian, Hebei Changli and Shandong Dazeshan; (2) homogenizing the grape sample, and carrying out digestion to achieve a clear state; (3) detecting the concentrations of K, Na, Ca Fe, Mn and Cu in the digestion solution, wherein the concentrations are sequentially marked as XK, XNa, XCa, XFe, XMn and XCu, and the unit is mg/kg; (4) carrying out statistical analysis on the detected data by using a SPSS statistical software, and establishing discriminant models (1)-(3); and (5) substituting the detected data of the six grape sample elements into the discriminant models (1)-(3) so as to obtain the YChadian, the YChangli and the YDazeshan, wherein the muscat production place is the production area having the maximum value in the YChadian, the YChangli and the YDazeshan. According to the present invention, the discriminant models are established through the six elements, the types of the elements are less, the elements are the conventional elements, the method is simple, the detection cost is reduced, and the determining correct rate is more than or equal to 90%.