Simultaneous regional traceability assessments based on Artificial Neural Networks

Abstract

We are presenting an Artificial Neural Networks (ANN) application designed to perform detailed (regional) authenticity and traceability assessments in the case of herbal spices. Its capacity to correctly assign the class (regional) identity when the properties of a new sample are compared simultaneously with models built for several regions of origin has been evaluated. A case study performed for dill (Anethum graveolens) indicates that ANN is very fit for the purpose, the system providing efficient and cost-effective simultaneous regional traceability assessments.