Disclosed is a method for improving the measuring performance of automation field devices, wherein each of the field devices determines a process variable using a measuring algorithm and is exposed to measurable environmental influences. The method includes capturing the calibration data of the field devices and capturing an item of environmental information of the field devices at defined time intervals; storing the environmental information, the calibration data, and a time stamp in a database; selecting a group of field devices which determine a process variable using the same measuring algorithm and which are exposed to the same environmental influences; correlating the environmental information and calibration data captured over time; creating a mathematical model relating the calibration data and the environmental information; adapting the measuring algorithm on the basis of the model; and transmitting the adapted measuring algorithm to all field devices in the group.