Researchers develop a machine learning method to identify fake honey

A team of researchers at Imperial College London and UCL have recently developed a new method to authenticate honey using machine learning and microscopy. Their technique, outlined in a paper pre-published on arXiv, could detect diluted or mislabeled honey at a far lower cost than existing methods. Honey is produced by bees after they collect nectar from flowers, break it down into simple sugars and store it inside honeycombs. Honey is currently the third most counterfeited food product globally. It is often mislabeled, which entails selling one type of honey for another, or is diluted it with other substances, such as sugar syrup.