A technology has been developed at the Warsaw University of Life Sciences (SGGW) to detect fraud that may occur at the stage of raw milk delivery to dairies. The new solution, called MFA (Milk Fraud Analyzer), is based on artificial intelligence and neural networks and was developed by the team of Dr Marcin Gołębiewski, Professor at SGGW, Director of the Institute of Animal Science.

The authors of the new solution emphasise that its application will make it possible to eliminate so-called milk fraud already at the first stage of the supply chain.

The effectiveness of detecting milk fraud using the MFA solution exceeds 85%, which, at the initial stage of this system, should be considered a very high rate. It is comparable to the performance of specialists. 

“Currently, quality control tests for milk centrifugation are performed randomly, once or twice a week. By streamlining the analyses, milk consumers could significantly tighten the control system and, in time, eliminate milk fraud altogether. In addition, it is worth emphasising that no specialists are needed to carry out analyses using our method. All you need to do is prepare the sample well for microscopic examination and send in a