Nine European cultivated strawberry varieties, two wild species and tw
o brands bought in the supermarket could be separated using a gas sens
or array (''Electronic Nose''). Resulting discriminant functions were
evaluated by their prediction ability and a statistical test. Reproduc
ibility and water influence on sensor signals were investigated. The r
esults promise a method for quality selection in strawberry breeding a
nd process control.