Potential application of machine vision to honey characterization

Characterization of honey is an important issue in the food industry and of interest to the consumers. This paper deals with the application feasibility of machine vision for the characterization of honey and shows how it can be employed in practical use by the industry. There is a correlation between honey color and its floral origin and some chemical parameters which could be properly used for characterization of honey. This may be accomplished by employing image analysis for honey color quantification as well as the algorithms that are available for classification and prediction of chemical parameters of foods.

► Machine vision can provide an appropriate approach for characterization of honey floral origin.
► Honey color could be quantified by machine vision.
► It is possible to predict antioxidant capacity of honey using machine vision.