Discrimination between organically and conventionally grown winter wheat farm pair samples using the copper chloride crystallisation method in combination with computerised image analysis
Organic and conventional winter wheat farm pair grain samples were tested with the copper chloride crystallisation method and submitted to computerised image analyses followed by pattern recognition and classification with multivariate statistical tools. Appropriate discriminant analyses (DA) models were established. Depending on the analysed region of interest up to 100% of unknown samples could be correctly predicted using the DA models.
unika university of kassel germany lbi louis bolk instituut the netherlands acia applied crystallisation image analysis roi region of interest  areas comprising 20 30 40 etc. to 100% around the geometric centre of each crystallogram image glcm grey level co-occurrence matrix da discriminant analysis df discriminant function