Abstract This paper develops a new approach to fraud detection in honey. Specifically, we examine adulterating honey with sugar and use hyperspectral imaging machine learning techniques detect adulteration. The main contributions of this are introducing feature smoothing technique conform the classification model used adulterated samples perpetration an data set using imaging, which has been ma...